{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluating Entity Relationship Extraction with DSPy & Fine-Tune Prompt Instructions\n",
    "\n",
    "## Steps\n",
    "- Load DSPy examples (separated into train, val, dev) that are saved locally.\n",
    "- Evaluate the extraction module with the dev examples to determine the baseline scores, i.e: the fine-tuned extraction module should score higher.\n",
    "- Run bootstrapping with random search with train examples, evaluate its compiled extraction module on the same dev examples to compare against baseline scores.\n",
    "- Run MIPROv2 with train and dev examples, evaluate its compiled extraction module on the same dev examples to compare against baseline and bootstrapping with random search scores.\n",
    "\n",
    "## Why Use MIPROv2?\n",
    "MIPROv2 is an optimizer that generates candidate few-shot examples and instructions for each prompt in the extraction module, and then optimizes over the fewshot examples and instructions as hyperparameters for a number of batches. For each batch, the optimizer evaluates different combinations of prompts on a subset of training inputs and learns the combinations that maximizes performance. This optimizer is quite useful when dealing with a large number of training examples. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nest_asyncio\n",
    "nest_asyncio.apply()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/Caskroom/miniconda/base/envs/nano-graphrag/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import dspy\n",
    "from dspy.teleprompt import BootstrapFewShotWithRandomSearch, MIPROv2\n",
    "from dspy.evaluate import Evaluate\n",
    "import os\n",
    "import numpy as np\n",
    "from dotenv import load_dotenv\n",
    "import logging\n",
    "import pickle\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from nano_graphrag.entity_extraction.module import TypedEntityRelationshipExtractor\n",
    "from nano_graphrag.entity_extraction.metric import relationships_similarity_metric, entity_recall_metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "WORKING_DIR = \"./nano_graphrag_cache_finetune_entity_relationship_dspy\"\n",
    "EXAMPLES_DIR = \"./nano_graphrag_cache_generate_dspy_examples\"\n",
    "load_dotenv()\n",
    "\n",
    "logging.basicConfig(level=logging.WARNING)\n",
    "logging.getLogger(\"nano-graphrag\").setLevel(logging.DEBUG)\n",
    "\n",
    "np.random.seed(1337)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "system_prompt = \"\"\"\n",
    "    You are a world-class AI system, capable of complex reasoning and reflection. \n",
    "    Reason through the query, and then provide your final response. \n",
    "    If you detect that you made a mistake in your reasoning at any point, correct yourself.\n",
    "    Think carefully.\n",
    "\"\"\"\n",
    "deepseek = dspy.OpenAI(\n",
    "    model=\"deepseek-chat\", \n",
    "    model_type=\"chat\",\n",
    "    api_key=os.environ[\"DEEPSEEK_API_KEY\"], \n",
    "    base_url=os.environ[\"DEEPSEEK_BASE_URL\"], \n",
    "    system_prompt=system_prompt, \n",
    "    temperature=1.0,\n",
    "    max_tokens=8192\n",
    ")\n",
    "qwen2 = dspy.OllamaLocal(\n",
    "    model=\"qwen2\", \n",
    "    system=system_prompt,\n",
    "    temperature=1.0,\n",
    "    max_tokens=4096,\n",
    "    num_ctx=32000,\n",
    "    format=\"json\",\n",
    "    timeout_s=240,\n",
    ")\n",
    "dspy.settings.configure(lm=deepseek, experimental=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.makedirs(WORKING_DIR, exist_ok=True)\n",
    "entity_relationship_rs_path = os.path.join(WORKING_DIR, \"entity_relationship_extraction_news_rs.json\")\n",
    "entity_relationship_miprov2_path = os.path.join(WORKING_DIR, \"entity_relationship_extraction_news_miprov2.json\")\n",
    "entity_relationship_trainset_path = os.path.join(EXAMPLES_DIR, \"entity_relationship_extraction_news_trainset.pkl\")\n",
    "entity_relationship_valset_path = os.path.join(EXAMPLES_DIR, \"entity_relationship_extraction_news_valset.pkl\")\n",
    "entity_relationship_devset_path = os.path.join(EXAMPLES_DIR, \"entity_relationship_extraction_news_devset.pkl\")\n",
    "\n",
    "trainset = pickle.load(open(entity_relationship_trainset_path, \"rb\"))\n",
    "valset = pickle.load(open(entity_relationship_valset_path, \"rb\"))\n",
    "devset = pickle.load(open(entity_relationship_devset_path, \"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for example in trainset:\n",
    "    for relationship in example.relationships:\n",
    "        if relationship['order'] == 2:\n",
    "            print(relationship)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for example in trainset:\n",
    "    for relationship in example.relationships:\n",
    "        if relationship['order'] == 3:\n",
    "            print(relationship)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainset[0].relationships[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "valset[0].relationships[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for example in valset:\n",
    "    for relationship in example.relationships:\n",
    "        if relationship['order'] == 2:\n",
    "            print(relationship)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for example in valset:\n",
    "    for relationship in example.relationships:\n",
    "        if relationship['order'] == 3:\n",
    "            print(relationship)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "devset[0].relationships[:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for example in devset:\n",
    "    for relationship in example.relationships:\n",
    "        if relationship['order'] == 2:\n",
    "            print(relationship)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for example in devset:\n",
    "    for relationship in example.relationships:\n",
    "        if relationship['order'] == 3:\n",
    "            print(relationship)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "extractor.predictor.predictor = Predict(StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
       "    instructions='Given a text document that is potentially relevant to this activity and a list of entity types, \\nidentify all entities of those types from the text and all relationships among the identified entities.\\n\\nEntity Guidelines:\\n1. Each entity name should be an actual atomic word from the input text. \\n2. Avoid duplicates and generic terms.\\n3. Make sure descriptions are detailed and comprehensive. Use multiple complete sentences for each point below:\\n    a). The entity\\'s role or significance in the context\\n    b). Key attributes or characteristics\\n    c). Relationships to other entities (if applicable)\\n    d). Historical or cultural relevance (if applicable)\\n    e). Any notable actions or events associated with the entity\\n4. All entity types from the text must be included. \\n5. IMPORTANT: Only use entity types from the provided \\'entity_types\\' list. Do not introduce new entity types.\\n\\nRelationship Guidelines:\\n1. Make sure relationship descriptions are detailed and comprehensive. Use multiple complete sentences for each point below:\\n    a). The nature of the relationship (e.g., familial, professional, causal)\\n    b). The impact or significance of the relationship on both entities\\n    c). Any historical or contextual information relevant to the relationship\\n    d). How the relationship evolved over time (if applicable)\\n    e). Any notable events or actions that resulted from this relationship\\n2. Include direct relationships (order 1) as well as higher-order relationships (order 2 and 3):\\n    a). Direct relationships: Immediate connections between entities.\\n    b). Second-order relationships: Indirect effects or connections that result from direct relationships.\\n    c). Third-order relationships: Further indirect effects that result from second-order relationships.\\n3. The \"src_id\" and \"tgt_id\" fields must exactly match entity names from the extracted entities list.'\n",
       "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
       "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
       "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
       "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
       "))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = TypedEntityRelationshipExtractor()\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/20 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.0 / 1  (100.0):   5%|▌         | 1/20 [00:24<07:52, 24.88s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.0 / 2  (100.0):  10%|█         | 2/20 [00:27<03:27, 11.55s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.0 / 3  (100.0):  15%|█▌        | 3/20 [00:33<02:35,  9.16s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.75 / 5  (95.0):  25%|██▌       | 5/20 [00:37<01:09,  4.64s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.55 / 6  (92.5):  30%|███       | 6/20 [00:40<00:55,  3.94s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.216666666666667 / 7  (88.8):  35%|███▌      | 7/20 [00:46<01:02,  4.77s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.216666666666667 / 8  (90.2):  40%|████      | 8/20 [00:47<00:41,  3.44s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 16.906495405179616 / 20  (84.5): 100%|██████████| 20/20 [02:19<00:00,  6.98s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:59:46.302522Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 16.906495405179616 / 20 (84.5%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_18824 th {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_18824 td {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_18824_row0_col0, #T_18824_row0_col1, #T_18824_row0_col2, #T_18824_row0_col3, #T_18824_row0_col4, #T_18824_row0_col5, #T_18824_row1_col0, #T_18824_row1_col1, #T_18824_row1_col2, #T_18824_row1_col3, #T_18824_row1_col4, #T_18824_row1_col5, #T_18824_row2_col0, #T_18824_row2_col1, #T_18824_row2_col2, #T_18824_row2_col3, #T_18824_row2_col4, #T_18824_row2_col5, #T_18824_row3_col0, #T_18824_row3_col1, #T_18824_row3_col2, #T_18824_row3_col3, #T_18824_row3_col4, #T_18824_row3_col5, #T_18824_row4_col0, #T_18824_row4_col1, #T_18824_row4_col2, #T_18824_row4_col3, #T_18824_row4_col4, #T_18824_row4_col5 {\n",
       "  text-align: left;\n",
       "  white-space: pre-wrap;\n",
       "  word-wrap: break-word;\n",
       "  max-width: 400px;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_18824\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_18824_level0_col0\" class=\"col_heading level0 col0\" >input_text</th>\n",
       "      <th id=\"T_18824_level0_col1\" class=\"col_heading level0 col1\" >example_entities</th>\n",
       "      <th id=\"T_18824_level0_col2\" class=\"col_heading level0 col2\" >example_relationships</th>\n",
       "      <th id=\"T_18824_level0_col3\" class=\"col_heading level0 col3\" >pred_entities</th>\n",
       "      <th id=\"T_18824_level0_col4\" class=\"col_heading level0 col4\" >pred_relationships</th>\n",
       "      <th id=\"T_18824_level0_col5\" class=\"col_heading level0 col5\" >entity_recall_metric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_18824_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_18824_row0_col0\" class=\"data row0 col0\" >As students from Marjory Stoneman Douglas High School confront lawmakers with demands to restrict sales of assault rifles, there were warnings by the president of...</td>\n",
       "      <td id=\"T_18824_row0_col1\" class=\"data row0 col1\" >[{'entity_name': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'entity_type': 'ORGANIZATION', 'description': 'A high school in Florida where students confronted lawmakers about restricting sales of assault rifles.', 'importance_score':...</td>\n",
       "      <td id=\"T_18824_row0_col2\" class=\"data row0 col2\" >[{'src_id': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'tgt_id': 'FLORIDA', 'description': 'Students from Marjory Stoneman Douglas High School are located in the state of Florida.', 'weight': 0.9,...</td>\n",
       "      <td id=\"T_18824_row0_col3\" class=\"data row0 col3\" >[{'entity_name': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'entity_type': 'ORGANIZATION', 'description': 'A high school in Florida where students confronted lawmakers about assault rifle sales.', 'importance_score': 0.9}, {'entity_name':...</td>\n",
       "      <td id=\"T_18824_row0_col4\" class=\"data row0 col4\" >[{'src_id': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'tgt_id': 'FLORIDA', 'description': 'Marjory Stoneman Douglas High School is located in Florida.', 'weight': 0.9, 'order': 1}, {'src_id': 'LAURENZO PRADO',...</td>\n",
       "      <td id=\"T_18824_row0_col5\" class=\"data row0 col5\" >✔️ [0.6666666666666666]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_18824_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_18824_row1_col0\" class=\"data row1 col0\" >From ferrying people to and from their place of work to transporting nuclear waste and coal, railways are not only an integral part of 21st...</td>\n",
       "      <td id=\"T_18824_row1_col1\" class=\"data row1 col1\" >[{'entity_name': 'RAILNOVA', 'entity_type': 'ORGANIZATION', 'description': 'A technology company based in Brussels whose clients include Deutsche Bahn and French rail operator SNCF.', 'importance_score': 0.9}, {'entity_name': 'DEUTSCHE...</td>\n",
       "      <td id=\"T_18824_row1_col2\" class=\"data row1 col2\" >[{'src_id': 'RAILNOVA', 'tgt_id': 'DEUTSCHE BAHN', 'description': 'Railnova provides technology solutions to Deutsche Bahn.', 'weight': 0.9, 'order': 1}, {'src_id': 'RAILNOVA', 'tgt_id': 'SNCF', 'description': 'Railnova provides technology...</td>\n",
       "      <td id=\"T_18824_row1_col3\" class=\"data row1 col3\" >[{'entity_name': 'RAILNOVA', 'entity_type': 'ORGANIZATION', 'description': 'A technology company based in Brussels whose clients include Deutsche Bahn and French rail operator SNCF.', 'importance_score': 0.9}, {'entity_name': 'DEUTSCHE...</td>\n",
       "      <td id=\"T_18824_row1_col4\" class=\"data row1 col4\" >[{'src_id': 'RAILNOVA', 'tgt_id': 'DEUTSCHE BAHN', 'description': 'Railnova provides technology solutions to Deutsche Bahn.', 'weight': 0.8, 'order': 1}, {'src_id': 'RAILNOVA', 'tgt_id': 'SNCF', 'description': 'Railnova provides technology...</td>\n",
       "      <td id=\"T_18824_row1_col5\" class=\"data row1 col5\" >✔️ [0.8888888888888888]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_18824_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_18824_row2_col0\" class=\"data row2 col0\" >Jan 22 (Reuters) - Shanghai Stock Exchange Filing * SHOWS BLOCK TRADE OF YONGHUI SUPERSTORES Co LTd's 166.3 MILLION SHARES INVOLVING 1.63 BILLION YUAN ($254.68...</td>\n",
       "      <td id=\"T_18824_row2_col1\" class=\"data row2 col1\" >[{'entity_name': 'YONGHUI SUPERSTORES CO LTD', 'entity_type': 'ORGANIZATION', 'description': 'YONGHUI SUPERSTORES Co LTd is involved in a block trade of 166.3 million shares.', 'importance_score': 1.0}, {'entity_name':...</td>\n",
       "      <td id=\"T_18824_row2_col2\" class=\"data row2 col2\" >[{'src_id': 'YONGHUI SUPERSTORES CO LTD', 'tgt_id': '166.3 MILLION SHARES', 'description': 'YONGHUI SUPERSTORES Co LTd is involved in a block trade of 166.3 million shares.', 'weight':...</td>\n",
       "      <td id=\"T_18824_row2_col3\" class=\"data row2 col3\" >[{'entity_name': 'SHANGHAI STOCK EXCHANGE', 'entity_type': 'ORGANIZATION', 'description': 'The Shanghai Stock Exchange is a stock exchange located in Shanghai, China.', 'importance_score': 0.9}, {'entity_name': 'YONGHUI SUPERSTORES CO...</td>\n",
       "      <td id=\"T_18824_row2_col4\" class=\"data row2 col4\" >[{'src_id': 'SHANGHAI STOCK EXCHANGE', 'tgt_id': 'YONGHUI SUPERSTORES CO LTD', 'description': 'The Shanghai Stock Exchange filed a block trade involving YONGHUI SUPERSTORES Co Ltd.', 'weight': 0.9,...</td>\n",
       "      <td id=\"T_18824_row2_col5\" class=\"data row2 col5\" >✔️ [0.8]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_18824_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_18824_row3_col0\" class=\"data row3 col0\" >LONDON (Reuters) - Britain’s economy was weaker than previously thought in 2017, official data showed on Thursday, leaving the country lagging further behind the global...</td>\n",
       "      <td id=\"T_18824_row3_col1\" class=\"data row3 col1\" >[{'entity_name': 'BRITAIN', 'entity_type': 'LOCATION', 'description': 'The country whose economy was weaker than previously thought in 2017.', 'importance_score': 0.9}, {'entity_name': 'EUROPEAN UNION', 'entity_type': 'ORGANIZATION', 'description': 'The...</td>\n",
       "      <td id=\"T_18824_row3_col2\" class=\"data row3 col2\" >[{'src_id': 'BRITAIN', 'tgt_id': 'EUROPEAN UNION', 'description': 'Britain is preparing to leave the European Union.', 'weight': 0.9, 'order': 1}, {'src_id': 'BANK OF ENGLAND', 'tgt_id': 'INTEREST RATES',...</td>\n",
       "      <td id=\"T_18824_row3_col3\" class=\"data row3 col3\" >[{'entity_name': 'BRITAIN', 'entity_type': 'LOCATION', 'description': 'The country whose economy is discussed in the text.', 'importance_score': 1.0}, {'entity_name': 'EUROPEAN UNION', 'entity_type': 'ORGANIZATION', 'description': 'The political and...</td>\n",
       "      <td id=\"T_18824_row3_col4\" class=\"data row3 col4\" >[{'src_id': 'BRITAIN', 'tgt_id': 'EUROPEAN UNION', 'description': 'Britain is preparing to leave the European Union.', 'weight': 0.9, 'order': 1}, {'src_id': 'BRITAIN', 'tgt_id': 'BANK OF ENGLAND', 'description':...</td>\n",
       "      <td id=\"T_18824_row3_col5\" class=\"data row3 col5\" >✔️ [1.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_18824_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_18824_row4_col0\" class=\"data row4 col0\" >Trump taps White House doctor as new VA secretary 2 Hours Ago CNBC's Kayla Tausche reports President Trump has tapped White House physician Rear Admiral...</td>\n",
       "      <td id=\"T_18824_row4_col1\" class=\"data row4 col1\" >[{'entity_name': 'TRUMP', 'entity_type': 'PERSON', 'description': 'President Trump who tapped Ronny Jackson as new VA secretary.', 'importance_score': 1.0}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'The White...</td>\n",
       "      <td id=\"T_18824_row4_col2\" class=\"data row4 col2\" >[{'src_id': 'TRUMP', 'tgt_id': 'RONNY JACKSON', 'description': 'President Trump taps Ronny Jackson as new VA secretary.', 'weight': 1.0, 'order': 1}, {'src_id': 'RONNY JACKSON', 'tgt_id': 'VA', 'description':...</td>\n",
       "      <td id=\"T_18824_row4_col3\" class=\"data row4 col3\" >[{'entity_name': 'TRUMP', 'entity_type': 'PERSON', 'description': 'President Trump who tapped Ronny Jackson.', 'importance_score': 0.9}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'The White House where Ronny Jackson...</td>\n",
       "      <td id=\"T_18824_row4_col4\" class=\"data row4 col4\" >[{'src_id': 'TRUMP', 'tgt_id': 'RONNY JACKSON', 'description': 'Trump taps Ronny Jackson.', 'weight': 0.9, 'order': 1}, {'src_id': 'RONNY JACKSON', 'tgt_id': 'DEPARTMENT OF VETERANS AFFAIRS', 'description': 'Ronny Jackson...</td>\n",
       "      <td id=\"T_18824_row4_col5\" class=\"data row4 col5\" >✔️ [0.8571428571428571]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x32638e3b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <div style='\n",
       "                    text-align: center;\n",
       "                    font-size: 16px;\n",
       "                    font-weight: bold;\n",
       "                    color: #555;\n",
       "                    margin: 10px 0;'>\n",
       "                    ... 15 more rows not displayed ...\n",
       "                </div>\n",
       "                "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/20 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.0 / 1  (100.0):   5%|▌         | 1/20 [00:10<03:14, 10.26s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.95 / 2  (97.5):  10%|█         | 2/20 [00:12<01:37,  5.40s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.6 / 3  (86.7):  15%|█▌        | 3/20 [00:15<01:16,  4.48s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.35 / 4  (83.8):  20%|██        | 4/20 [00:18<01:03,  3.96s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.8000000000000003 / 5  (76.0):  25%|██▌       | 5/20 [00:19<00:43,  2.91s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.45 / 6  (74.2):  30%|███       | 6/20 [00:20<00:31,  2.26s/it]              INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.65 / 7  (66.4):  35%|███▌      | 7/20 [00:25<00:38,  2.93s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.6000000000000005 / 8  (70.0):  40%|████      | 8/20 [00:30<00:43,  3.63s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 13.565000000000001 / 20  (67.8): 100%|██████████| 20/20 [01:10<00:00,  3.51s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-21T00:00:56.731904Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 13.565000000000001 / 20 (67.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_7104e th {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_7104e td {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_7104e_row0_col0, #T_7104e_row0_col1, #T_7104e_row0_col2, #T_7104e_row0_col3, #T_7104e_row0_col4, #T_7104e_row0_col5, #T_7104e_row1_col0, #T_7104e_row1_col1, #T_7104e_row1_col2, #T_7104e_row1_col3, #T_7104e_row1_col4, #T_7104e_row1_col5, #T_7104e_row2_col0, #T_7104e_row2_col1, #T_7104e_row2_col2, #T_7104e_row2_col3, #T_7104e_row2_col4, #T_7104e_row2_col5, #T_7104e_row3_col0, #T_7104e_row3_col1, #T_7104e_row3_col2, #T_7104e_row3_col3, #T_7104e_row3_col4, #T_7104e_row3_col5, #T_7104e_row4_col0, #T_7104e_row4_col1, #T_7104e_row4_col2, #T_7104e_row4_col3, #T_7104e_row4_col4, #T_7104e_row4_col5 {\n",
       "  text-align: left;\n",
       "  white-space: pre-wrap;\n",
       "  word-wrap: break-word;\n",
       "  max-width: 400px;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_7104e\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_7104e_level0_col0\" class=\"col_heading level0 col0\" >input_text</th>\n",
       "      <th id=\"T_7104e_level0_col1\" class=\"col_heading level0 col1\" >example_entities</th>\n",
       "      <th id=\"T_7104e_level0_col2\" class=\"col_heading level0 col2\" >example_relationships</th>\n",
       "      <th id=\"T_7104e_level0_col3\" class=\"col_heading level0 col3\" >pred_entities</th>\n",
       "      <th id=\"T_7104e_level0_col4\" class=\"col_heading level0 col4\" >pred_relationships</th>\n",
       "      <th id=\"T_7104e_level0_col5\" class=\"col_heading level0 col5\" >relationships_similarity_metric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_7104e_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_7104e_row0_col0\" class=\"data row0 col0\" >As students from Marjory Stoneman Douglas High School confront lawmakers with demands to restrict sales of assault rifles, there were warnings by the president of...</td>\n",
       "      <td id=\"T_7104e_row0_col1\" class=\"data row0 col1\" >[{'entity_name': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'entity_type': 'ORGANIZATION', 'description': 'A high school in Florida where students confronted lawmakers about restricting sales of assault rifles.', 'importance_score':...</td>\n",
       "      <td id=\"T_7104e_row0_col2\" class=\"data row0 col2\" >[{'src_id': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'tgt_id': 'FLORIDA', 'description': 'Students from Marjory Stoneman Douglas High School are located in the state of Florida.', 'weight': 0.9,...</td>\n",
       "      <td id=\"T_7104e_row0_col3\" class=\"data row0 col3\" >[{'entity_name': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'entity_type': 'ORGANIZATION', 'description': 'A high school in Florida where students confronted lawmakers about assault rifle sales.', 'importance_score': 0.9}, {'entity_name':...</td>\n",
       "      <td id=\"T_7104e_row0_col4\" class=\"data row0 col4\" >[{'src_id': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'tgt_id': 'FLORIDA', 'description': 'Marjory Stoneman Douglas High School is located in Florida.', 'weight': 0.9, 'order': 1}, {'src_id': 'LAURENZO PRADO',...</td>\n",
       "      <td id=\"T_7104e_row0_col5\" class=\"data row0 col5\" >✔️ [0.45]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7104e_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_7104e_row1_col0\" class=\"data row1 col0\" >From ferrying people to and from their place of work to transporting nuclear waste and coal, railways are not only an integral part of 21st...</td>\n",
       "      <td id=\"T_7104e_row1_col1\" class=\"data row1 col1\" >[{'entity_name': 'RAILNOVA', 'entity_type': 'ORGANIZATION', 'description': 'A technology company based in Brussels whose clients include Deutsche Bahn and French rail operator SNCF.', 'importance_score': 0.9}, {'entity_name': 'DEUTSCHE...</td>\n",
       "      <td id=\"T_7104e_row1_col2\" class=\"data row1 col2\" >[{'src_id': 'RAILNOVA', 'tgt_id': 'DEUTSCHE BAHN', 'description': 'Railnova provides technology solutions to Deutsche Bahn.', 'weight': 0.9, 'order': 1}, {'src_id': 'RAILNOVA', 'tgt_id': 'SNCF', 'description': 'Railnova provides technology...</td>\n",
       "      <td id=\"T_7104e_row1_col3\" class=\"data row1 col3\" >[{'entity_name': 'RAILNOVA', 'entity_type': 'ORGANIZATION', 'description': 'A technology company based in Brussels whose clients include Deutsche Bahn and French rail operator SNCF.', 'importance_score': 0.9}, {'entity_name': 'DEUTSCHE...</td>\n",
       "      <td id=\"T_7104e_row1_col4\" class=\"data row1 col4\" >[{'src_id': 'RAILNOVA', 'tgt_id': 'DEUTSCHE BAHN', 'description': 'Railnova provides technology solutions to Deutsche Bahn.', 'weight': 0.8, 'order': 1}, {'src_id': 'RAILNOVA', 'tgt_id': 'SNCF', 'description': 'Railnova provides technology...</td>\n",
       "      <td id=\"T_7104e_row1_col5\" class=\"data row1 col5\" >✔️ [0.75]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7104e_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_7104e_row2_col0\" class=\"data row2 col0\" >Jan 22 (Reuters) - Shanghai Stock Exchange Filing * SHOWS BLOCK TRADE OF YONGHUI SUPERSTORES Co LTd's 166.3 MILLION SHARES INVOLVING 1.63 BILLION YUAN ($254.68...</td>\n",
       "      <td id=\"T_7104e_row2_col1\" class=\"data row2 col1\" >[{'entity_name': 'YONGHUI SUPERSTORES CO LTD', 'entity_type': 'ORGANIZATION', 'description': 'YONGHUI SUPERSTORES Co LTd is involved in a block trade of 166.3 million shares.', 'importance_score': 1.0}, {'entity_name':...</td>\n",
       "      <td id=\"T_7104e_row2_col2\" class=\"data row2 col2\" >[{'src_id': 'YONGHUI SUPERSTORES CO LTD', 'tgt_id': '166.3 MILLION SHARES', 'description': 'YONGHUI SUPERSTORES Co LTd is involved in a block trade of 166.3 million shares.', 'weight':...</td>\n",
       "      <td id=\"T_7104e_row2_col3\" class=\"data row2 col3\" >[{'entity_name': 'SHANGHAI STOCK EXCHANGE', 'entity_type': 'ORGANIZATION', 'description': 'The Shanghai Stock Exchange is a stock exchange located in Shanghai, China.', 'importance_score': 0.9}, {'entity_name': 'YONGHUI SUPERSTORES CO...</td>\n",
       "      <td id=\"T_7104e_row2_col4\" class=\"data row2 col4\" >[{'src_id': 'SHANGHAI STOCK EXCHANGE', 'tgt_id': 'YONGHUI SUPERSTORES CO LTD', 'description': 'The Shanghai Stock Exchange filed a block trade involving YONGHUI SUPERSTORES Co Ltd.', 'weight': 0.9,...</td>\n",
       "      <td id=\"T_7104e_row2_col5\" class=\"data row2 col5\" >✔️ [0.8]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7104e_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_7104e_row3_col0\" class=\"data row3 col0\" >LONDON (Reuters) - Britain’s economy was weaker than previously thought in 2017, official data showed on Thursday, leaving the country lagging further behind the global...</td>\n",
       "      <td id=\"T_7104e_row3_col1\" class=\"data row3 col1\" >[{'entity_name': 'BRITAIN', 'entity_type': 'LOCATION', 'description': 'The country whose economy was weaker than previously thought in 2017.', 'importance_score': 0.9}, {'entity_name': 'EUROPEAN UNION', 'entity_type': 'ORGANIZATION', 'description': 'The...</td>\n",
       "      <td id=\"T_7104e_row3_col2\" class=\"data row3 col2\" >[{'src_id': 'BRITAIN', 'tgt_id': 'EUROPEAN UNION', 'description': 'Britain is preparing to leave the European Union.', 'weight': 0.9, 'order': 1}, {'src_id': 'BANK OF ENGLAND', 'tgt_id': 'INTEREST RATES',...</td>\n",
       "      <td id=\"T_7104e_row3_col3\" class=\"data row3 col3\" >[{'entity_name': 'BRITAIN', 'entity_type': 'LOCATION', 'description': 'The country whose economy is discussed in the text.', 'importance_score': 1.0}, {'entity_name': 'EUROPEAN UNION', 'entity_type': 'ORGANIZATION', 'description': 'The political and...</td>\n",
       "      <td id=\"T_7104e_row3_col4\" class=\"data row3 col4\" >[{'src_id': 'BRITAIN', 'tgt_id': 'EUROPEAN UNION', 'description': 'Britain is preparing to leave the European Union.', 'weight': 0.9, 'order': 1}, {'src_id': 'BRITAIN', 'tgt_id': 'BANK OF ENGLAND', 'description':...</td>\n",
       "      <td id=\"T_7104e_row3_col5\" class=\"data row3 col5\" >✔️ [0.2]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7104e_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_7104e_row4_col0\" class=\"data row4 col0\" >Trump taps White House doctor as new VA secretary 2 Hours Ago CNBC's Kayla Tausche reports President Trump has tapped White House physician Rear Admiral...</td>\n",
       "      <td id=\"T_7104e_row4_col1\" class=\"data row4 col1\" >[{'entity_name': 'TRUMP', 'entity_type': 'PERSON', 'description': 'President Trump who tapped Ronny Jackson as new VA secretary.', 'importance_score': 1.0}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'The White...</td>\n",
       "      <td id=\"T_7104e_row4_col2\" class=\"data row4 col2\" >[{'src_id': 'TRUMP', 'tgt_id': 'RONNY JACKSON', 'description': 'President Trump taps Ronny Jackson as new VA secretary.', 'weight': 1.0, 'order': 1}, {'src_id': 'RONNY JACKSON', 'tgt_id': 'VA', 'description':...</td>\n",
       "      <td id=\"T_7104e_row4_col3\" class=\"data row4 col3\" >[{'entity_name': 'TRUMP', 'entity_type': 'PERSON', 'description': 'President Trump who tapped Ronny Jackson.', 'importance_score': 0.9}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'The White House where Ronny Jackson...</td>\n",
       "      <td id=\"T_7104e_row4_col4\" class=\"data row4 col4\" >[{'src_id': 'TRUMP', 'tgt_id': 'RONNY JACKSON', 'description': 'Trump taps Ronny Jackson.', 'weight': 0.9, 'order': 1}, {'src_id': 'RONNY JACKSON', 'tgt_id': 'DEPARTMENT OF VETERANS AFFAIRS', 'description': 'Ronny Jackson...</td>\n",
       "      <td id=\"T_7104e_row4_col5\" class=\"data row4 col5\" >✔️ [0.65]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x32166a0b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <div style='\n",
       "                    text-align: center;\n",
       "                    font-size: 16px;\n",
       "                    font-weight: bold;\n",
       "                    color: #555;\n",
       "                    margin: 10px 0;'>\n",
       "                    ... 15 more rows not displayed ...\n",
       "                </div>\n",
       "                "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics = [entity_recall_metric, relationships_similarity_metric]\n",
    "baseline_scores = []\n",
    "for metric in metrics:\n",
    "    evaluate = Evaluate(\n",
    "        devset=devset[:20], \n",
    "        metric=metric, \n",
    "        num_threads=os.cpu_count(), \n",
    "        display_progress=True,\n",
    "        display_table=5,\n",
    "    )\n",
    "    baseline_scores.append(evaluate(model))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Assess the similarity between gold and predicted relationships:\n",
      "1. Match relationships based on src_id and tgt_id pairs, allowing for slight variations in entity names.\n",
      "2. For matched pairs, compare:\n",
      "   a) Description similarity (semantic meaning)\n",
      "   b) Weight similarity\n",
      "   c) Order similarity\n",
      "3. Consider unmatched relationships as penalties.\n",
      "4. Aggregate scores, accounting for precision and recall.\n",
      "5. Return a final similarity score between 0 (no similarity) and 1 (perfect match).\n",
      "\n",
      "Key considerations:\n",
      "- Prioritize matching based on entity pairs over exact string matches.\n",
      "- Use semantic similarity for descriptions rather than exact matches.\n",
      "- Weight the importance of different aspects (e.g., entity matching, description, weight, order).\n",
      "- Balance the impact of matched and unmatched relationships in the final score.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "Gold Relationships: The gold-standard relationships to compare against.\n",
      "\n",
      "Predicted Relationships: The predicted relationships to compare against the gold-standard relationships.\n",
      "\n",
      "Reasoning: Let's think step by step in order to ${produce the similarity_score}. We ...\n",
      "\n",
      "Similarity Score: Similarity score between 0 and 1, with 1 being the highest similarity. (Respond with a single float value)\n",
      "\n",
      "---\n",
      "\n",
      "Gold Relationships: [{\"src_id\":\"INSTITUTE FOR FISCAL STUDIES\",\"tgt_id\":\"EUROPEAN UNION\",\"description\":\"The Institute for Fiscal Studies said cutting trade tariffs completely when leaving the European Union would reduce prices in British shops by only 1.2 percent.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"KLÉPIERRE SA\",\"tgt_id\":\"HAMMERSON PLC\",\"description\":\"Klépierre SA made a 4.9 billion pound takeover approach to Hammerson Plc.\",\"weight\":0.9,\"order\":1},{\"src_id\":\"SNAP INC\",\"tgt_id\":\"TWITTER\",\"description\":\"Snap Inc's Snapchat is so popular in Britain that its advertising revenue will overtake Twitter's UK revenue in 2019.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"PERSIMMON PLC\",\"tgt_id\":\"JEFF FAIRBURN\",\"description\":\"Persimmon Plc paid its Chief Executive, Jeff Fairburn, and two other executives a combined 104 million pounds last year.\",\"weight\":0.9,\"order\":1},{\"src_id\":\"SHERBORNE INVESTORS\",\"tgt_id\":\"BARCLAYS PLC\",\"description\":\"Sherborne Investors, led by British-born Edward Bramson, has taken a 5 percent stake in Barclays Plc.\",\"weight\":0.9,\"order\":1},{\"src_id\":\"ROYAL BANK OF SCOTLAND\",\"tgt_id\":\"MONZO\",\"description\":\"The Royal Bank of Scotland is working on secret plans to create a standalone digital bank to compete with emerging British fintech champions including Monzo.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"ROYAL BANK OF SCOTLAND\",\"tgt_id\":\"REVOLUT\",\"description\":\"The Royal Bank of Scotland is working on secret plans to create a standalone digital bank to compete with emerging British fintech champions including Revolut.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"HERSHEY CO\",\"tgt_id\":\"TYRRELLS\",\"description\":\"Hershey Co, the U.S. confectionery giant, is at the early stages of exploring options for the British crisps brand Tyrrells.\",\"weight\":0.7,\"order\":1},{\"src_id\":\"FINANCIAL REPORTING COUNCIL\",\"tgt_id\":\"CARILLION PLC\",\"description\":\"The Financial Reporting Council, UK's accountancy watchdog has launched an investigation into two former finance directors of collapsed construction firm Carillion Plc.\",\"weight\":0.9,\"order\":1},{\"src_id\":\"RAC FOUNDATION\",\"tgt_id\":\"CAR-OWNING HOUSEHOLDS\",\"description\":\"The RAC Foundation reported that running a car has become more than a third more expensive in one year for the poorest families.\",\"weight\":0.7,\"order\":1}]\n",
      "\n",
      "Predicted Relationships: [{\"src_id\":\"HAMMERSON PLC\",\"tgt_id\":\"KLÉPIERRE SA\",\"description\":\"Hammerson Plc received a takeover approach from Klépierre SA.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"SNAP INC\",\"tgt_id\":\"TWITTER\",\"description\":\"Snap Inc's Snapchat is expected to overtake Twitter's UK revenue.\",\"weight\":0.7,\"order\":1},{\"src_id\":\"PERSIMMON PLC\",\"tgt_id\":\"JEFF FAIRBURN\",\"description\":\"Persimmon Plc paid its Chief Executive, Jeff Fairburn, a large sum.\",\"weight\":0.7,\"order\":1},{\"src_id\":\"SHERBORNE INVESTORS\",\"tgt_id\":\"BARCLAYS PLC\",\"description\":\"Sherborne Investors took a 5 percent stake in Barclays Plc.\",\"weight\":0.7,\"order\":1},{\"src_id\":\"ROYAL BANK OF SCOTLAND\",\"tgt_id\":\"MONZO\",\"description\":\"Royal Bank of Scotland is competing with Monzo in the digital banking space.\",\"weight\":0.6,\"order\":1},{\"src_id\":\"ROYAL BANK OF SCOTLAND\",\"tgt_id\":\"REVOLUT\",\"description\":\"Royal Bank of Scotland is competing with Revolut in the digital banking space.\",\"weight\":0.6,\"order\":1},{\"src_id\":\"HERSHEY CO\",\"tgt_id\":\"TYRRELLS\",\"description\":\"Hershey Co is exploring options for the British crisps brand Tyrrells.\",\"weight\":0.6,\"order\":1},{\"src_id\":\"FINANCIAL REPORTING COUNCIL\",\"tgt_id\":\"CARILLION PLC\",\"description\":\"The Financial Reporting Council is investigating former finance directors of Carillion Plc.\",\"weight\":0.6,\"order\":1}]\n",
      "\n",
      "Please provide the output fields Reasoning then Similarity Score. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with the field Reasoning.\n",
      "\n",
      "\u001b[32mReasoning: Let's think step by step in order to produce the similarity_score. We start by matching relationships based on src_id and tgt_id pairs, allowing for slight variations in entity names. We then compare the matched pairs on description similarity (semantic meaning), weight similarity, and order similarity. Unmatched relationships are considered penalties. Finally, we aggregate scores, accounting for precision and recall, to return a final similarity score between 0 (no similarity) and 1 (perfect match).\n",
      "\n",
      "1. **Entity Pair Matching:**\n",
      "   - Matched pairs: \n",
      "     - (HAMMERSON PLC, KLÉPIERRE SA)\n",
      "     - (SNAP INC, TWITTER)\n",
      "     - (PERSIMMON PLC, JEFF FAIRBURN)\n",
      "     - (SHERBORNE INVESTORS, BARCLAYS PLC)\n",
      "     - (ROYAL BANK OF SCOTLAND, MONZO)\n",
      "     - (ROYAL BANK OF SCOTLAND, REVOLUT)\n",
      "     - (HERSHEY CO, TYRRELLS)\n",
      "     - (FINANCIAL REPORTING COUNCIL, CARILLION PLC)\n",
      "   - Unmatched pairs in gold: \n",
      "     - (INSTITUTE FOR FISCAL STUDIES, EUROPEAN UNION)\n",
      "     - (RAC FOUNDATION, CAR-OWNING HOUSEHOLDS)\n",
      "\n",
      "2. **Comparison of Matched Pairs:**\n",
      "   - **Description Similarity:**\n",
      "     - (HAMMERSON PLC, KLÉPIERRE SA): High similarity.\n",
      "     - (SNAP INC, TWITTER): High similarity.\n",
      "     - (PERSIMMON PLC, JEFF FAIRBURN): Moderate similarity.\n",
      "     - (SHERBORNE INVESTORS, BARCLAYS PLC): High similarity.\n",
      "     - (ROYAL BANK OF SCOTLAND, MONZO): Moderate similarity.\n",
      "     - (ROYAL BANK OF SCOTLAND, REVOLUT): Moderate similarity.\n",
      "     - (HERSHEY CO, TYRRELLS): High similarity.\n",
      "     - (FINANCIAL REPORTING COUNCIL, CARILLION PLC): High similarity.\n",
      "   - **Weight Similarity:**\n",
      "     - (HAMMERSON PLC, KLÉPIERRE SA): 0.9 (gold) vs 0.8 (predicted)\n",
      "     - (SNAP INC, TWITTER): 0.8 (gold) vs 0.7 (predicted)\n",
      "     - (PERSIMMON PLC, JEFF FAIRBURN): 0.9 (gold) vs 0.7 (predicted)\n",
      "     - (SHERBORNE INVESTORS, BARCLAYS PLC): 0.9 (gold) vs 0.7 (predicted)\n",
      "     - (ROYAL BANK OF SCOTLAND, MONZO): 0.8 (gold) vs 0.6 (predicted)\n",
      "     - (ROYAL BANK OF SCOTLAND, REVOLUT): 0.8 (gold) vs 0.6 (predicted)\n",
      "     - (HERSHEY CO, TYRRELLS): 0.7 (gold) vs 0.6 (predicted)\n",
      "     - (FINANCIAL REPORTING COUNCIL, CARILLION PLC): 0.9 (gold) vs 0.6 (predicted)\n",
      "   - **Order Similarity:**\n",
      "     - All matched pairs have the same order (1).\n",
      "\n",
      "3. **Penalties for Unmatched Relationships:**\n",
      "   - Two unmatched pairs in gold: (INSTITUTE FOR FISCAL STUDIES, EUROPEAN UNION) and (RAC FOUNDATION, CAR-OWNING HOUSEHOLDS).\n",
      "\n",
      "4. **Aggregation of Scores:**\n",
      "   - **Precision and Recall:**\n",
      "     - Precision: 8/8 (all predicted relationships are matched).\n",
      "     - Recall: 8/10 (8 out of 10 gold relationships are matched).\n",
      "   - **Weighted Score:**\n",
      "     - Description similarity: High for most pairs, moderate for some.\n",
      "     - Weight similarity: Varied, with some discrepancies.\n",
      "     - Order similarity: Perfect match.\n",
      "\n",
      "5. **Final Similarity Score:**\n",
      "   - Considering the high description similarity, moderate weight similarity, perfect order similarity, and the penalties for unmatched relationships, the final similarity score is calculated as follows:\n",
      "     - Precision: 1.0\n",
      "     - Recall: 0.8\n",
      "     - Weighted average considering the importance of each aspect: 0.85\n",
      "\n",
      "Similarity Score: 0.85\u001b[0m\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'\\n\\n\\nAssess the similarity between gold and predicted relationships:\\n1. Match relationships based on src_id and tgt_id pairs, allowing for slight variations in entity names.\\n2. For matched pairs, compare:\\n   a) Description similarity (semantic meaning)\\n   b) Weight similarity\\n   c) Order similarity\\n3. Consider unmatched relationships as penalties.\\n4. Aggregate scores, accounting for precision and recall.\\n5. Return a final similarity score between 0 (no similarity) and 1 (perfect match).\\n\\nKey considerations:\\n- Prioritize matching based on entity pairs over exact string matches.\\n- Use semantic similarity for descriptions rather than exact matches.\\n- Weight the importance of different aspects (e.g., entity matching, description, weight, order).\\n- Balance the impact of matched and unmatched relationships in the final score.\\n\\n---\\n\\nFollow the following format.\\n\\nGold Relationships: The gold-standard relationships to compare against.\\n\\nPredicted Relationships: The predicted relationships to compare against the gold-standard relationships.\\n\\nReasoning: Let\\'s think step by step in order to ${produce the similarity_score}. We ...\\n\\nSimilarity Score: Similarity score between 0 and 1, with 1 being the highest similarity. (Respond with a single float value)\\n\\n---\\n\\nGold Relationships: [{\"src_id\":\"INSTITUTE FOR FISCAL STUDIES\",\"tgt_id\":\"EUROPEAN UNION\",\"description\":\"The Institute for Fiscal Studies said cutting trade tariffs completely when leaving the European Union would reduce prices in British shops by only 1.2 percent.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"KLÉPIERRE SA\",\"tgt_id\":\"HAMMERSON PLC\",\"description\":\"Klépierre SA made a 4.9 billion pound takeover approach to Hammerson Plc.\",\"weight\":0.9,\"order\":1},{\"src_id\":\"SNAP INC\",\"tgt_id\":\"TWITTER\",\"description\":\"Snap Inc\\'s Snapchat is so popular in Britain that its advertising revenue will overtake Twitter\\'s UK revenue in 2019.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"PERSIMMON PLC\",\"tgt_id\":\"JEFF FAIRBURN\",\"description\":\"Persimmon Plc paid its Chief Executive, Jeff Fairburn, and two other executives a combined 104 million pounds last year.\",\"weight\":0.9,\"order\":1},{\"src_id\":\"SHERBORNE INVESTORS\",\"tgt_id\":\"BARCLAYS PLC\",\"description\":\"Sherborne Investors, led by British-born Edward Bramson, has taken a 5 percent stake in Barclays Plc.\",\"weight\":0.9,\"order\":1},{\"src_id\":\"ROYAL BANK OF SCOTLAND\",\"tgt_id\":\"MONZO\",\"description\":\"The Royal Bank of Scotland is working on secret plans to create a standalone digital bank to compete with emerging British fintech champions including Monzo.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"ROYAL BANK OF SCOTLAND\",\"tgt_id\":\"REVOLUT\",\"description\":\"The Royal Bank of Scotland is working on secret plans to create a standalone digital bank to compete with emerging British fintech champions including Revolut.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"HERSHEY CO\",\"tgt_id\":\"TYRRELLS\",\"description\":\"Hershey Co, the U.S. confectionery giant, is at the early stages of exploring options for the British crisps brand Tyrrells.\",\"weight\":0.7,\"order\":1},{\"src_id\":\"FINANCIAL REPORTING COUNCIL\",\"tgt_id\":\"CARILLION PLC\",\"description\":\"The Financial Reporting Council, UK\\'s accountancy watchdog has launched an investigation into two former finance directors of collapsed construction firm Carillion Plc.\",\"weight\":0.9,\"order\":1},{\"src_id\":\"RAC FOUNDATION\",\"tgt_id\":\"CAR-OWNING HOUSEHOLDS\",\"description\":\"The RAC Foundation reported that running a car has become more than a third more expensive in one year for the poorest families.\",\"weight\":0.7,\"order\":1}]\\n\\nPredicted Relationships: [{\"src_id\":\"HAMMERSON PLC\",\"tgt_id\":\"KLÉPIERRE SA\",\"description\":\"Hammerson Plc received a takeover approach from Klépierre SA.\",\"weight\":0.8,\"order\":1},{\"src_id\":\"SNAP INC\",\"tgt_id\":\"TWITTER\",\"description\":\"Snap Inc\\'s Snapchat is expected to overtake Twitter\\'s UK revenue.\",\"weight\":0.7,\"order\":1},{\"src_id\":\"PERSIMMON PLC\",\"tgt_id\":\"JEFF FAIRBURN\",\"description\":\"Persimmon Plc paid its Chief Executive, Jeff Fairburn, a large sum.\",\"weight\":0.7,\"order\":1},{\"src_id\":\"SHERBORNE INVESTORS\",\"tgt_id\":\"BARCLAYS PLC\",\"description\":\"Sherborne Investors took a 5 percent stake in Barclays Plc.\",\"weight\":0.7,\"order\":1},{\"src_id\":\"ROYAL BANK OF SCOTLAND\",\"tgt_id\":\"MONZO\",\"description\":\"Royal Bank of Scotland is competing with Monzo in the digital banking space.\",\"weight\":0.6,\"order\":1},{\"src_id\":\"ROYAL BANK OF SCOTLAND\",\"tgt_id\":\"REVOLUT\",\"description\":\"Royal Bank of Scotland is competing with Revolut in the digital banking space.\",\"weight\":0.6,\"order\":1},{\"src_id\":\"HERSHEY CO\",\"tgt_id\":\"TYRRELLS\",\"description\":\"Hershey Co is exploring options for the British crisps brand Tyrrells.\",\"weight\":0.6,\"order\":1},{\"src_id\":\"FINANCIAL REPORTING COUNCIL\",\"tgt_id\":\"CARILLION PLC\",\"description\":\"The Financial Reporting Council is investigating former finance directors of Carillion Plc.\",\"weight\":0.6,\"order\":1}]\\n\\nPlease provide the output fields Reasoning then Similarity Score. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with the field Reasoning.\\n\\n\\x1b[32mReasoning: Let\\'s think step by step in order to produce the similarity_score. We start by matching relationships based on src_id and tgt_id pairs, allowing for slight variations in entity names. We then compare the matched pairs on description similarity (semantic meaning), weight similarity, and order similarity. Unmatched relationships are considered penalties. Finally, we aggregate scores, accounting for precision and recall, to return a final similarity score between 0 (no similarity) and 1 (perfect match).\\n\\n1. **Entity Pair Matching:**\\n   - Matched pairs: \\n     - (HAMMERSON PLC, KLÉPIERRE SA)\\n     - (SNAP INC, TWITTER)\\n     - (PERSIMMON PLC, JEFF FAIRBURN)\\n     - (SHERBORNE INVESTORS, BARCLAYS PLC)\\n     - (ROYAL BANK OF SCOTLAND, MONZO)\\n     - (ROYAL BANK OF SCOTLAND, REVOLUT)\\n     - (HERSHEY CO, TYRRELLS)\\n     - (FINANCIAL REPORTING COUNCIL, CARILLION PLC)\\n   - Unmatched pairs in gold: \\n     - (INSTITUTE FOR FISCAL STUDIES, EUROPEAN UNION)\\n     - (RAC FOUNDATION, CAR-OWNING HOUSEHOLDS)\\n\\n2. **Comparison of Matched Pairs:**\\n   - **Description Similarity:**\\n     - (HAMMERSON PLC, KLÉPIERRE SA): High similarity.\\n     - (SNAP INC, TWITTER): High similarity.\\n     - (PERSIMMON PLC, JEFF FAIRBURN): Moderate similarity.\\n     - (SHERBORNE INVESTORS, BARCLAYS PLC): High similarity.\\n     - (ROYAL BANK OF SCOTLAND, MONZO): Moderate similarity.\\n     - (ROYAL BANK OF SCOTLAND, REVOLUT): Moderate similarity.\\n     - (HERSHEY CO, TYRRELLS): High similarity.\\n     - (FINANCIAL REPORTING COUNCIL, CARILLION PLC): High similarity.\\n   - **Weight Similarity:**\\n     - (HAMMERSON PLC, KLÉPIERRE SA): 0.9 (gold) vs 0.8 (predicted)\\n     - (SNAP INC, TWITTER): 0.8 (gold) vs 0.7 (predicted)\\n     - (PERSIMMON PLC, JEFF FAIRBURN): 0.9 (gold) vs 0.7 (predicted)\\n     - (SHERBORNE INVESTORS, BARCLAYS PLC): 0.9 (gold) vs 0.7 (predicted)\\n     - (ROYAL BANK OF SCOTLAND, MONZO): 0.8 (gold) vs 0.6 (predicted)\\n     - (ROYAL BANK OF SCOTLAND, REVOLUT): 0.8 (gold) vs 0.6 (predicted)\\n     - (HERSHEY CO, TYRRELLS): 0.7 (gold) vs 0.6 (predicted)\\n     - (FINANCIAL REPORTING COUNCIL, CARILLION PLC): 0.9 (gold) vs 0.6 (predicted)\\n   - **Order Similarity:**\\n     - All matched pairs have the same order (1).\\n\\n3. **Penalties for Unmatched Relationships:**\\n   - Two unmatched pairs in gold: (INSTITUTE FOR FISCAL STUDIES, EUROPEAN UNION) and (RAC FOUNDATION, CAR-OWNING HOUSEHOLDS).\\n\\n4. **Aggregation of Scores:**\\n   - **Precision and Recall:**\\n     - Precision: 8/8 (all predicted relationships are matched).\\n     - Recall: 8/10 (8 out of 10 gold relationships are matched).\\n   - **Weighted Score:**\\n     - Description similarity: High for most pairs, moderate for some.\\n     - Weight similarity: Varied, with some discrepancies.\\n     - Order similarity: Perfect match.\\n\\n5. **Final Similarity Score:**\\n   - Considering the high description similarity, moderate weight similarity, perfect order similarity, and the penalties for unmatched relationships, the final similarity score is calculated as follows:\\n     - Precision: 1.0\\n     - Recall: 0.8\\n     - Weighted average considering the importance of each aspect: 0.85\\n\\nSimilarity Score: 0.85\\x1b[0m\\n\\n\\n'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deepseek.inspect_history(n=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = BootstrapFewShotWithRandomSearch(\n",
    "    metric=relationships_similarity_metric, \n",
    "    num_threads=os.cpu_count(),\n",
    "    num_candidate_programs=10,\n",
    "    max_labeled_demos=5,\n",
    "    max_bootstrapped_demos=2,\n",
    ")\n",
    "rs_model = optimizer.compile(model, trainset=trainset, valset=valset)\n",
    "rs_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "metrics = [entity_recall_metric, relationships_similarity_metric]\n",
    "for metric in metrics:\n",
    "    evaluate = Evaluate(\n",
    "        devset=devset, \n",
    "        metric=metric, \n",
    "        num_threads=os.cpu_count(), \n",
    "        display_progress=True,\n",
    "        display_table=5,\n",
    "    )\n",
    "    evaluate(rs_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rs_model.save(entity_relationship_rs_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MIPROv2\n",
    "- Let's take a small LLM to complete the entity relationship extraction, while making a larger LLM create the prompt instructions and few-shot examples.\n",
    "- Feel free to generate sufficient amount of train dataset to avoid overfitting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[93m\u001b[1mWARNING: Projected Language Model (LM) Calls\u001b[0m\n",
      "\n",
      "Please be advised that based on the parameters you have set, the maximum number of LM calls is projected as follows:\n",
      "\n",
      "\n",
      "\u001b[93m- Prompt Model: \u001b[94m\u001b[1m10\u001b[0m\u001b[93m data summarizer calls + \u001b[94m\u001b[1m10\u001b[0m\u001b[93m * \u001b[94m\u001b[1m1\u001b[0m\u001b[93m lm calls in program + (\u001b[94m\u001b[1m2\u001b[0m\u001b[93m) lm calls in program aware proposer = \u001b[94m\u001b[1m22\u001b[0m\u001b[93m prompt model calls\u001b[0m\n",
      "\u001b[93m- Task Model: \u001b[94m\u001b[1m25\u001b[0m\u001b[93m examples in minibatch * \u001b[94m\u001b[1m20\u001b[0m\u001b[93m batches + \u001b[94m\u001b[1m50\u001b[0m\u001b[93m examples in train set * \u001b[94m\u001b[1m2\u001b[0m\u001b[93m full evals = \u001b[94m\u001b[1m600\u001b[0m\u001b[93m task model calls\u001b[0m\n",
      "\n",
      "\u001b[93m\u001b[1mEstimated Cost Calculation:\u001b[0m\n",
      "\n",
      "\u001b[93mTotal Cost = (Number of calls to task model * (Avg Input Token Length per Call * Task Model Price per Input Token + Avg Output Token Length per Call * Task Model Price per Output Token) \n",
      "            + (Number of calls to prompt model * (Avg Input Token Length per Call * Task Prompt Price per Input Token + Avg Output Token Length per Call * Prompt Model Price per Output Token).\u001b[0m\n",
      "\n",
      "For a preliminary estimate of potential costs, we recommend you perform your own calculations based on the task\n",
      "and prompt models you intend to use. If the projected costs exceed your budget or expectations, you may consider:\n",
      "\n",
      "\u001b[93m- Reducing the number of trials (`num_batches`), the size of the trainset, or the number of LM calls in your program.\u001b[0m\n",
      "\u001b[93m- Using a cheaper task model to optimize the prompt.\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b: 10\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b: 20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b: 30\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b: 40\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "summary: Prediction(\n",
      "    summary='The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.'\n",
      ")\n",
      "DATA SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/50 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  2%|▏         | 1/50 [01:57<1:35:51, 117.38s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  4%|▍         | 2/50 [02:35<56:34, 70.71s/it]   INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  6%|▌         | 3/50 [03:56<1:01:47, 78.88s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bootstrapped 3 full traces after 4 examples in round 0.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/50 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  4%|▍         | 2/50 [01:10<28:02, 35.06s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bootstrapped 2 full traces after 3 examples in round 0.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  2%|▏         | 1/50 [00:00<00:00, 165.86it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bootstrapped 1 full traces after 2 examples in round 0.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/50 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  2%|▏         | 1/50 [00:46<37:34, 46.02s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bootstrapped 1 full traces after 2 examples in round 0.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/50 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  2%|▏         | 1/50 [00:59<48:39, 59.58s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bootstrapped 1 full traces after 2 examples in round 0.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/50 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  2%|▏         | 1/50 [00:57<47:20, 57.97s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bootstrapped 1 full traces after 2 examples in round 0.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/50 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  2%|▏         | 1/50 [01:07<55:09, 67.54s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  4%|▍         | 2/50 [01:42<38:29, 48.11s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  6%|▌         | 3/50 [03:45<58:47, 75.05s/it]  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bootstrapped 3 full traces after 4 examples in round 0.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/50 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  2%|▏         | 1/50 [00:59<48:14, 59.06s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  4%|▍         | 2/50 [01:49<43:16, 54.09s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "  6%|▌         | 3/50 [02:59<46:53, 59.87s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bootstrapped 3 full traces after 4 examples in round 0.\n",
      "Using a randomly generated configuration for our grounded proposer.\n",
      "Selected tip: description\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and relationships from a given text input. It uses a pipeline that involves a language model to perform this extraction. The program works by defining a signature that specifies the input fields (input_text and entity_types) and the output fields (reasoning and entities_relationships). The TypedPredictor class ensures that the type annotations in the signature are enforced, and it handles retries and error explanations if the output is invalid. The TypedEntityRelationshipExtractor class integrates this predictor to extract entities and relationships from the input text, converting the results into a structured format. The program uses a combination of type checking, JSON schema validation, and language model predictions to achieve its task.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and relationships from a given text input. It uses a pipeline that involves a language model to perform this extraction. The program works by defining a signature that specifies the input fields (input_text and entity_types) and the output fields (reasoning and entities_relationships). The TypedPredictor class ensures that the type annotations in the signature are enforced, and it handles retries and error explanations if the output is invalid. The TypedEntityRelationshipExtractor class integrates this predictor to extract entities and relationships from the input text, converting the results into a structured format. The program uses a combination of type checking, JSON schema validation, and language model predictions to achieve its task.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S): \n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, meticulously extract and identify all entities and their relationships within the text. Ensure that each entity is accurately classified according to the provided entity types, and clearly define the relationships between entities, including their descriptions, weights, and orders. Provide a step-by-step reasoning process to justify the extraction and classification of each entity and relationship.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, meticulously extract and identify all entities and their relationships within the text. Ensure that each entity is accurately classified according to the provided entity types, and clearly define the relationships between entities, including their descriptions, weights, and orders. Provide a step-by-step reasoning process to justify the extraction and classification of each entity and relationship.\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and relationships from a given text input. It uses a pipeline that involves a language model to perform this extraction. The program works by defining a signature that specifies the input fields (input_text and entity_types) and the output fields (reasoning and entities_relationships). The TypedPredictor class ensures that the type annotations in the signature are enforced, and it handles retries and error explanations if the output is invalid. The TypedEntityRelationshipExtractor class integrates this predictor to extract entities and relationships from the input text, converting the results into a structured format. The program uses a combination of type checking, JSON schema validation, and language model predictions to achieve its task.\n",
      "task_demos \n",
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and relationships from a given text input. It uses a pipeline that involves a language model to perform this extraction. The program works by defining a signature that specifies the input fields (input_text and entity_types) and the output fields (reasoning and entities_relationships). The TypedPredictor class ensures that the type annotations in the signature are enforced, and it handles retries and error explanations if the output is invalid. The TypedEntityRelationshipExtractor class integrates this predictor to extract entities and relationships from the input text, converting the results into a structured format. The program uses a combination of type checking, JSON schema validation, and language model predictions to achieve its task.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S): \n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, meticulously extract and identify all entities and their relationships within the text. Ensure that each entity is accurately classified according to the provided entity types, and clearly define the relationships between entities, including their descriptions, weights, and orders. Provide a step-by-step reasoning process to justify the extraction and classification of each entity and relationship.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, meticulously extract and identify all entities and their relationships within the text. Ensure that each entity is accurately classified according to the provided entity types, and clearly define the relationships between entities, including their descriptions, weights, and orders. Provide a step-by-step reasoning process to justify the extraction and classification of each entity and relationship.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and relationships from input text. It works by first identifying entities in the text based on provided entity types, then determining the relationships between these entities considering their interactions and dependencies within the context of the text. Finally, it formats the entities and relationships according to a specified JSON schema. The program uses a pipeline that includes a language model to perform these tasks, ensuring type annotations and handling retries and errors in the extraction process.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos Input Text: Melbourne, Australia (CNN)After spending part of the off-season training with Mike Tyson, Serena Williams is hoping to deliver a knockout punch at the Australian Open. Follow @cnnsport\n",
      "\n",
      "For Williams that would mean winning a record-tying 24th grand slam title, which has so far proved elusive despite getting close four times since returning to the tour after giving birth to daughter Alexis Olympia. Her preparation for the year's first major couldn't have gone much better, suggesting the mini grand slam drought for arguably tennis' greatest ever player is about to cease. Williams let rip into a punching bag in December -- drawing a compliment from former heavyweight boxing champion Tyson, whose daughter happens to be a budding tennis star -- and then won a buildup tournament in Auckland last week to incredibly land a title in a fourth straight decade. She also mingled with one of tennis' youngest sensations, Coco Gauff, as part of the training camp in Florida organized by her coach, Patrick Mouratoglou. JUST WATCHEDMouratoglou on Serena comeback and McEnroeReplayMore Videos ...MUST WATCHMouratoglou on Serena comeback and McEnroe 02:19Read MoreWilliams overcame singles opponents with differing styles, reached the doubles final with one of her best friends -- the soon-to-be retired Caroline Wozniacki -- and most crucially, ended a five-match losing streak in finals with her daughter and husband Alexis Ohanian looking on.  No wonder the 38-year-old said following her straight-set victory over fellow American Jessica Pegula: \"It's pretty satisfying just to get a win in the final. That was really important for me. And I just want to build on it,\" added Williams, who donated her prize money check of $43,000 to bush fire relief efforts in Australia. \"It's just a step towards the next goal.\"Indeed. READ: Can Rafael Nadal match Roger Federer's all-time grand slam record?READ: Player brands Australian Open email a 'slap in the face'Eyes on bigger prizeYes, as nice as it was to be holding the winners' trophy in Auckland -- where Williams once hit 88 unforced errors in a loss to Madison Brengle -- she didn't make the long trip to simply prosper in New Zealand. The much bigger prize is the Australian Open, where Williams triumphed while in the early stages of pregnancy in 2017.  If Williams makes the final in Melbourne -- and she might have to defeat the likes of twice grand slam winner Naomi Osaka and current world No. 1 Ashleigh Barty along the way -- she will probably have to then defeat someone with a heftier reputation than the 66th-ranked Pegula. Helping Williams, however, is that one of the main contenders, Bianca Andreescu, isn't in Melbourne because of another injury, this time to a knee. But winning any final -- after losses in grand slam finals to Osaka, Andreescu, Angelique Kerber and Simona Halep and retiring against Andreescu in the Rogers Cup finale last August -- could potentially be turning point as Williams attempts to draw level with the grand slam haul of Australia's Margaret Court. JUST WATCHEDSerena Williams falls short in major title chaseReplayMore Videos ...MUST WATCHSerena Williams falls short in major title chase 01:00\"Serena, she certainly looks hungry, and I think she's got a little momentum going into the Australian Open,\" Chris Evert, the 18-time grand slam champion, told reporters in an ESPN conference call last week. \"And it would probably be the least pressure, this grand slam, to win for her. \"I think every other tournament, the French Open, the clay isn't her best surface. Wimbledon is a lot of pressure, US Open is a lot of pressure. \"This one, the first one of the year, it's a 'Happy Slam,'\" referring to the Australian Open's nickname. \"I think if she just takes a little bit of pressure off herself and she can just play her brand of tennis, I think she's got a good shot at winning it.\"She's better at grand slams than any other player when you look at the last two years.\"The way Wozniacki put it, Williams has a \"big chance\" to match Court. pic.twitter.com/skoZilynH8— Serena Williams (@serenawilliams) January 12, 2020 Other high-profile players, such as Halep and former world No. 1 Karolina Pliskova -- who saved four match points last year in Melbourne against Williams and rallied from 5-1 down in the third set after the American rolled her ankle -- aren't discounting her chances, either, despite just falling short recently at grand slams. \"I'm very impressed about her, that she keeps playing at this level, with being a mother and also being a little bit older than us,\" said Halep, who made a mere three unforced errors in downing Williams in the 2019 Wimbledon final. \"It's impressive what she does.\"Challenges aheadBut Evert also underscored the stiffer challenges facing Williams. \"There are some darned good players out there that I have a lot of respect for, and the way that Osaka, Barty, Pliskova, Halep ... there's not one or two threats to Serena, there's probably about eight threats, eight players that can probably do some damage and that can compete against her.\"And one more thing is -- I always felt this way -- the older you get, I think the more bad days you may have, days when you feel burned out, days when you don't want to get out of bed, days when you don't have incentive. You don't want to have that day during a grand slam, but sometimes you can't help it.\"JUST WATCHEDSimona Halep on winning her first Wimbledon titleReplayMore Videos ...MUST WATCHSimona Halep on winning her first Wimbledon title 01:56Visit our tennis page for more news and videosWilliams figures to still be around towards the end of the Australian Open, but whether it is as the last person standing continues to be the question. \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Melbourne\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A city in Australia where the Australian Open is held.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Australia\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The country where Melbourne is located and where the Australian Open takes place.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Serena Williams\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player aiming to win the Australian Open.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Mike Tyson\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A former heavyweight boxing champion who trained with Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Australian Open\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A major tennis tournament held annually in Melbourne, Australia.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Alexis Olympia\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The daughter of Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Caroline Wozniacki\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player and friend of Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Coco Gauff\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A young tennis sensation who trained with Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Patrick Mouratoglou\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The coach of Serena Williams who organized the training camp.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Naomi Osaka\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player and grand slam winner who could face Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ashleigh Barty\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The current world No. 1 tennis player who could face Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Bianca Andreescu\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player who is a main contender but is not in Melbourne due to injury.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Simona Halep\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player who defeated Serena Williams in the 2019 Wimbledon final.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Chris Evert\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"An 18-time grand slam champion who commented on Serena Williams' chances at the Australian Open.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Margaret Court\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"An Australian tennis player with a record-tying 24 grand slam titles.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Jessica Pegula\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A fellow American tennis player who Serena Williams defeated in a match.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Alexis Ohanian\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The husband of Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Karolina Pliskova\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A former world No. 1 tennis player who saved match points against Serena Williams in Melbourne.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Mike Tyson\",\n",
      "\n",
      "\"description\": \"Serena Williams trained with Mike Tyson during the off-season.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Australian Open\",\n",
      "\n",
      "\"description\": \"Serena Williams is aiming to win the Australian Open.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Alexis Olympia\",\n",
      "\n",
      "\"description\": \"Serena Williams is the mother of Alexis Olympia.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Caroline Wozniacki\",\n",
      "\n",
      "\"description\": \"Serena Williams reached the doubles final with Caroline Wozniacki.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Coco Gauff\",\n",
      "\n",
      "\"description\": \"Serena Williams trained with Coco Gauff.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Patrick Mouratoglou\",\n",
      "\n",
      "\"description\": \"Patrick Mouratoglou is the coach of Serena Williams.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Naomi Osaka\",\n",
      "\n",
      "\"description\": \"Serena Williams might have to defeat Naomi Osaka to reach the final of the Australian Open.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Ashleigh Barty\",\n",
      "\n",
      "\"description\": \"Serena Williams might have to defeat Ashleigh Barty to reach the final of the Australian Open.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Bianca Andreescu\",\n",
      "\n",
      "\"description\": \"Bianca Andreescu is a main contender but is not in Melbourne due to injury.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Simona Halep\",\n",
      "\n",
      "\"description\": \"Simona Halep defeated Serena Williams in the 2019 Wimbledon final.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Chris Evert\",\n",
      "\n",
      "\"description\": \"Chris Evert commented on Serena Williams' chances at the Australian Open.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Margaret Court\",\n",
      "\n",
      "\"description\": \"Serena Williams is attempting to match Margaret Court's record of 24 grand slam titles.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Jessica Pegula\",\n",
      "\n",
      "\"description\": \"Serena Williams defeated Jessica Pegula in a match.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Alexis Ohanian\",\n",
      "\n",
      "\"description\": \"Alexis Ohanian is the husband of Serena Williams.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Karolina Pliskova\",\n",
      "\n",
      "\"description\": \"Karolina Pliskova saved match points against Serena Williams in Melbourne.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)Neymar surpassed Ronaldo and moved to second on Brazil's all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.Two penalties and a last-minute tap-in took the Paris Saint-Germain forward's tally to 64 for his country, two ahead of Ronaldo and 13 behind Pele's all-time record of 77.Everton's Richarlison scored Brazil's other goal as the five-time world champion twice had to come from behind to secure the win.Brazil head coach Tite told reporters after the match that it was \"unfair\" to compare Neymar and Ronaldo.\"What I can say is Neymar has this unpredictability,\" he said. \"He is the bow and the arrow, he's a player who both makes and takes chances. And he gets better and better, and more mature.\"Read MoreNeymar celebrates after completing his hat-trick against Peru.The match had a number of controversial VAR moments, particularly the decision to award Neymar a second penalty late in the game with the score tied at 2-2, a decision which surprised even the Brazilian players.Peru's anger was compounded in stoppage time when Carlos Zambrano was shown a red card for an elbow on Richarlison. The Everton forward had escaped punishment for a similar incident earlier in the match that left Peru's Miguel Trauco with a bloody wound above his eye.The latest incidents added to a growing list of decisions that have left South American fans scratching their heads during this international break, the first time VAR has been used in CONMEBOL World Cup qualifiersBrazil's victory ensures it begins the grueling 18-month campaign with a 100% record to top the standings on six points along with Argentina, which secured an impressive 2-1 win in the altitude of La Paz, Bolivia earlier in the day.The top four teams will qualify automatically for Qatar 2022, with the fifth-placed team competing in a two-legged playoff against a country from another continent.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Neymar\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Brazilian footballer who surpassed Ronaldo and moved to second on Brazil's all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ronaldo\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A former Brazilian footballer who was previously second on Brazil's all-time goalscoring list.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Pele\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A legendary Brazilian footballer who holds the all-time record for Brazil with 77 goals.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Brazil\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A country where the football match took place and where Neymar and Ronaldo are from.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Peru\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The opposing country in the football match against Brazil.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"World Cup\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"An international football competition where the qualifying match between Brazil and Peru took place.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Neymar\",\n",
      "\n",
      "\"tgt_id\": \"Ronaldo\",\n",
      "\n",
      "\"description\": \"Neymar surpassed Ronaldo on Brazil's all-time goalscoring list.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Neymar\",\n",
      "\n",
      "\"tgt_id\": \"Pele\",\n",
      "\n",
      "\"description\": \"Neymar is 13 goals behind Pele's all-time record for Brazil.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Brazil\",\n",
      "\n",
      "\"tgt_id\": \"Peru\",\n",
      "\n",
      "\"description\": \"Brazil won a football match against Peru in World Cup qualifying.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men's elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that's why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it's also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge's world record time two years ago. Bekele catches his breath after this year's Berlin Marathon. Despite expectations that he could challenge Kipchoge's record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night's sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It's a little bit tough for me because the day before also I couldn't sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I've recovered well ... At this moment, I'm really strong. I hope I'll achieve a good result on Sunday.\"For race organizers, who called off last year's New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele's 5,000m world record stood for 16 years before it was broken by Uganda's Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has 'the qualities of an ascetic monk'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya's Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance's two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city's five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It's more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women's race is headlined by Kenya's Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA's Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he's grateful to be able to race in New York following the pandemic and last year's cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"New York City Marathon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Annual marathon in New York City, returning after a two-year hiatus due to the pandemic.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Eliud Kipchoge\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Marathon world record holder and dominant runner over the 26.2 miles of a marathon.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Berlin Marathon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Annual marathon in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Guye Adola\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Winner of the Berlin Marathon, finishing more than a minute ahead of Kenenisa Bekele.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Adbi Nageeye\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Dutch runner who won the silver medal at the Olympics in Sapporo and will compete in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kibiwott Kandie\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Half marathon world record holder from Kenya, making his marathon debut in New York.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Peres Jepchirchir\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Kenyan runner and gold medalist at the Olympics, headlining the women's race in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Molly Seidel\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"American runner and Olympic bronze medalist, competing in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Shalane Flanagan\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"US star attempting to run six marathons in 42 days, including the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"New York City Marathon\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele is primed to compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Eliud Kipchoge\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele aims to make more history in his storied career, comparing himself to Eliud Kipchoge.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Berlin Marathon\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele had a disappointing outing at the Berlin Marathon six weeks ago.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Guye Adola\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele finished third in the Berlin Marathon, more than a minute behind winner Guye Adola.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Adbi Nageeye\",\n",
      "\n",
      "\"description\": \"Adbi Nageeye will compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Kibiwott Kandie\",\n",
      "\n",
      "\"description\": \"Kibiwott Kandie will make his marathon debut in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Peres Jepchirchir\",\n",
      "\n",
      "\"description\": \"Peres Jepchirchir will headline the women's race in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Molly Seidel\",\n",
      "\n",
      "\"description\": \"Molly Seidel will compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Shalane Flanagan\",\n",
      "\n",
      "\"description\": \"Shalane Flanagan will aim to complete her challenge of running six marathons in 42 days in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and relationships from input text. It works by first identifying entities in the text based on provided entity types, then determining the relationships between these entities considering their interactions and dependencies within the context of the text. Finally, it formats the entities and relationships according to a specified JSON schema. The program uses a pipeline that includes a language model to perform these tasks, ensuring type annotations and handling retries and errors in the extraction process.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S):\n",
      "Input Text: Melbourne, Australia (CNN)After spending part of the off-season training with Mike Tyson, Serena Williams is hoping to deliver a knockout punch at the Australian Open. Follow @cnnsport\n",
      "\n",
      "For Williams that would mean winning a record-tying 24th grand slam title, which has so far proved elusive despite getting close four times since returning to the tour after giving birth to daughter Alexis Olympia. Her preparation for the year's first major couldn't have gone much better, suggesting the mini grand slam drought for arguably tennis' greatest ever player is about to cease. Williams let rip into a punching bag in December -- drawing a compliment from former heavyweight boxing champion Tyson, whose daughter happens to be a budding tennis star -- and then won a buildup tournament in Auckland last week to incredibly land a title in a fourth straight decade. She also mingled with one of tennis' youngest sensations, Coco Gauff, as part of the training camp in Florida organized by her coach, Patrick Mouratoglou. JUST WATCHEDMouratoglou on Serena comeback and McEnroeReplayMore Videos ...MUST WATCHMouratoglou on Serena comeback and McEnroe 02:19Read MoreWilliams overcame singles opponents with differing styles, reached the doubles final with one of her best friends -- the soon-to-be retired Caroline Wozniacki -- and most crucially, ended a five-match losing streak in finals with her daughter and husband Alexis Ohanian looking on.  No wonder the 38-year-old said following her straight-set victory over fellow American Jessica Pegula: \"It's pretty satisfying just to get a win in the final. That was really important for me. And I just want to build on it,\" added Williams, who donated her prize money check of $43,000 to bush fire relief efforts in Australia. \"It's just a step towards the next goal.\"Indeed. READ: Can Rafael Nadal match Roger Federer's all-time grand slam record?READ: Player brands Australian Open email a 'slap in the face'Eyes on bigger prizeYes, as nice as it was to be holding the winners' trophy in Auckland -- where Williams once hit 88 unforced errors in a loss to Madison Brengle -- she didn't make the long trip to simply prosper in New Zealand. The much bigger prize is the Australian Open, where Williams triumphed while in the early stages of pregnancy in 2017.  If Williams makes the final in Melbourne -- and she might have to defeat the likes of twice grand slam winner Naomi Osaka and current world No. 1 Ashleigh Barty along the way -- she will probably have to then defeat someone with a heftier reputation than the 66th-ranked Pegula. Helping Williams, however, is that one of the main contenders, Bianca Andreescu, isn't in Melbourne because of another injury, this time to a knee. But winning any final -- after losses in grand slam finals to Osaka, Andreescu, Angelique Kerber and Simona Halep and retiring against Andreescu in the Rogers Cup finale last August -- could potentially be turning point as Williams attempts to draw level with the grand slam haul of Australia's Margaret Court. JUST WATCHEDSerena Williams falls short in major title chaseReplayMore Videos ...MUST WATCHSerena Williams falls short in major title chase 01:00\"Serena, she certainly looks hungry, and I think she's got a little momentum going into the Australian Open,\" Chris Evert, the 18-time grand slam champion, told reporters in an ESPN conference call last week. \"And it would probably be the least pressure, this grand slam, to win for her. \"I think every other tournament, the French Open, the clay isn't her best surface. Wimbledon is a lot of pressure, US Open is a lot of pressure. \"This one, the first one of the year, it's a 'Happy Slam,'\" referring to the Australian Open's nickname. \"I think if she just takes a little bit of pressure off herself and she can just play her brand of tennis, I think she's got a good shot at winning it.\"She's better at grand slams than any other player when you look at the last two years.\"The way Wozniacki put it, Williams has a \"big chance\" to match Court. pic.twitter.com/skoZilynH8— Serena Williams (@serenawilliams) January 12, 2020 Other high-profile players, such as Halep and former world No. 1 Karolina Pliskova -- who saved four match points last year in Melbourne against Williams and rallied from 5-1 down in the third set after the American rolled her ankle -- aren't discounting her chances, either, despite just falling short recently at grand slams. \"I'm very impressed about her, that she keeps playing at this level, with being a mother and also being a little bit older than us,\" said Halep, who made a mere three unforced errors in downing Williams in the 2019 Wimbledon final. \"It's impressive what she does.\"Challenges aheadBut Evert also underscored the stiffer challenges facing Williams. \"There are some darned good players out there that I have a lot of respect for, and the way that Osaka, Barty, Pliskova, Halep ... there's not one or two threats to Serena, there's probably about eight threats, eight players that can probably do some damage and that can compete against her.\"And one more thing is -- I always felt this way -- the older you get, I think the more bad days you may have, days when you feel burned out, days when you don't want to get out of bed, days when you don't have incentive. You don't want to have that day during a grand slam, but sometimes you can't help it.\"JUST WATCHEDSimona Halep on winning her first Wimbledon titleReplayMore Videos ...MUST WATCHSimona Halep on winning her first Wimbledon title 01:56Visit our tennis page for more news and videosWilliams figures to still be around towards the end of the Australian Open, but whether it is as the last person standing continues to be the question. \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Melbourne\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A city in Australia where the Australian Open is held.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Australia\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The country where Melbourne is located and where the Australian Open takes place.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Serena Williams\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player aiming to win the Australian Open.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Mike Tyson\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A former heavyweight boxing champion who trained with Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Australian Open\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A major tennis tournament held annually in Melbourne, Australia.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Alexis Olympia\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The daughter of Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Caroline Wozniacki\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player and friend of Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Coco Gauff\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A young tennis sensation who trained with Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Patrick Mouratoglou\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The coach of Serena Williams who organized the training camp.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Naomi Osaka\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player and grand slam winner who could face Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ashleigh Barty\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The current world No. 1 tennis player who could face Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Bianca Andreescu\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player who is a main contender but is not in Melbourne due to injury.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Simona Halep\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player who defeated Serena Williams in the 2019 Wimbledon final.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Chris Evert\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"An 18-time grand slam champion who commented on Serena Williams' chances at the Australian Open.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Margaret Court\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"An Australian tennis player with a record-tying 24 grand slam titles.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Jessica Pegula\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A fellow American tennis player who Serena Williams defeated in a match.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Alexis Ohanian\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The husband of Serena Williams.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Karolina Pliskova\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A former world No. 1 tennis player who saved match points against Serena Williams in Melbourne.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Mike Tyson\",\n",
      "\n",
      "\"description\": \"Serena Williams trained with Mike Tyson during the off-season.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Australian Open\",\n",
      "\n",
      "\"description\": \"Serena Williams is aiming to win the Australian Open.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Alexis Olympia\",\n",
      "\n",
      "\"description\": \"Serena Williams is the mother of Alexis Olympia.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Caroline Wozniacki\",\n",
      "\n",
      "\"description\": \"Serena Williams reached the doubles final with Caroline Wozniacki.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Coco Gauff\",\n",
      "\n",
      "\"description\": \"Serena Williams trained with Coco Gauff.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Patrick Mouratoglou\",\n",
      "\n",
      "\"description\": \"Patrick Mouratoglou is the coach of Serena Williams.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Naomi Osaka\",\n",
      "\n",
      "\"description\": \"Serena Williams might have to defeat Naomi Osaka to reach the final of the Australian Open.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Ashleigh Barty\",\n",
      "\n",
      "\"description\": \"Serena Williams might have to defeat Ashleigh Barty to reach the final of the Australian Open.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Bianca Andreescu\",\n",
      "\n",
      "\"description\": \"Bianca Andreescu is a main contender but is not in Melbourne due to injury.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Simona Halep\",\n",
      "\n",
      "\"description\": \"Simona Halep defeated Serena Williams in the 2019 Wimbledon final.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Chris Evert\",\n",
      "\n",
      "\"description\": \"Chris Evert commented on Serena Williams' chances at the Australian Open.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Margaret Court\",\n",
      "\n",
      "\"description\": \"Serena Williams is attempting to match Margaret Court's record of 24 grand slam titles.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Jessica Pegula\",\n",
      "\n",
      "\"description\": \"Serena Williams defeated Jessica Pegula in a match.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Alexis Ohanian\",\n",
      "\n",
      "\"description\": \"Alexis Ohanian is the husband of Serena Williams.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Serena Williams\",\n",
      "\n",
      "\"tgt_id\": \"Karolina Pliskova\",\n",
      "\n",
      "\"description\": \"Karolina Pliskova saved match points against Serena Williams in Melbourne.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)Neymar surpassed Ronaldo and moved to second on Brazil's all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.Two penalties and a last-minute tap-in took the Paris Saint-Germain forward's tally to 64 for his country, two ahead of Ronaldo and 13 behind Pele's all-time record of 77.Everton's Richarlison scored Brazil's other goal as the five-time world champion twice had to come from behind to secure the win.Brazil head coach Tite told reporters after the match that it was \"unfair\" to compare Neymar and Ronaldo.\"What I can say is Neymar has this unpredictability,\" he said. \"He is the bow and the arrow, he's a player who both makes and takes chances. And he gets better and better, and more mature.\"Read MoreNeymar celebrates after completing his hat-trick against Peru.The match had a number of controversial VAR moments, particularly the decision to award Neymar a second penalty late in the game with the score tied at 2-2, a decision which surprised even the Brazilian players.Peru's anger was compounded in stoppage time when Carlos Zambrano was shown a red card for an elbow on Richarlison. The Everton forward had escaped punishment for a similar incident earlier in the match that left Peru's Miguel Trauco with a bloody wound above his eye.The latest incidents added to a growing list of decisions that have left South American fans scratching their heads during this international break, the first time VAR has been used in CONMEBOL World Cup qualifiersBrazil's victory ensures it begins the grueling 18-month campaign with a 100% record to top the standings on six points along with Argentina, which secured an impressive 2-1 win in the altitude of La Paz, Bolivia earlier in the day.The top four teams will qualify automatically for Qatar 2022, with the fifth-placed team competing in a two-legged playoff against a country from another continent.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Neymar\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Brazilian footballer who surpassed Ronaldo and moved to second on Brazil's all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ronaldo\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A former Brazilian footballer who was previously second on Brazil's all-time goalscoring list.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Pele\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A legendary Brazilian footballer who holds the all-time record for Brazil with 77 goals.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Brazil\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A country where the football match took place and where Neymar and Ronaldo are from.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Peru\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The opposing country in the football match against Brazil.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"World Cup\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"An international football competition where the qualifying match between Brazil and Peru took place.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Neymar\",\n",
      "\n",
      "\"tgt_id\": \"Ronaldo\",\n",
      "\n",
      "\"description\": \"Neymar surpassed Ronaldo on Brazil's all-time goalscoring list.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Neymar\",\n",
      "\n",
      "\"tgt_id\": \"Pele\",\n",
      "\n",
      "\"description\": \"Neymar is 13 goals behind Pele's all-time record for Brazil.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Brazil\",\n",
      "\n",
      "\"tgt_id\": \"Peru\",\n",
      "\n",
      "\"description\": \"Brazil won a football match against Peru in World Cup qualifying.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men's elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that's why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it's also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge's world record time two years ago. Bekele catches his breath after this year's Berlin Marathon. Despite expectations that he could challenge Kipchoge's record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night's sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It's a little bit tough for me because the day before also I couldn't sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I've recovered well ... At this moment, I'm really strong. I hope I'll achieve a good result on Sunday.\"For race organizers, who called off last year's New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele's 5,000m world record stood for 16 years before it was broken by Uganda's Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has 'the qualities of an ascetic monk'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya's Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance's two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city's five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It's more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women's race is headlined by Kenya's Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA's Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he's grateful to be able to race in New York following the pandemic and last year's cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"New York City Marathon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Annual marathon in New York City, returning after a two-year hiatus due to the pandemic.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Eliud Kipchoge\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Marathon world record holder and dominant runner over the 26.2 miles of a marathon.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Berlin Marathon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Annual marathon in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Guye Adola\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Winner of the Berlin Marathon, finishing more than a minute ahead of Kenenisa Bekele.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Adbi Nageeye\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Dutch runner who won the silver medal at the Olympics in Sapporo and will compete in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kibiwott Kandie\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Half marathon world record holder from Kenya, making his marathon debut in New York.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Peres Jepchirchir\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Kenyan runner and gold medalist at the Olympics, headlining the women's race in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Molly Seidel\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"American runner and Olympic bronze medalist, competing in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Shalane Flanagan\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"US star attempting to run six marathons in 42 days, including the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"New York City Marathon\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele is primed to compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Eliud Kipchoge\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele aims to make more history in his storied career, comparing himself to Eliud Kipchoge.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Berlin Marathon\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele had a disappointing outing at the Berlin Marathon six weeks ago.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Guye Adola\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele finished third in the Berlin Marathon, more than a minute behind winner Guye Adola.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Adbi Nageeye\",\n",
      "\n",
      "\"description\": \"Adbi Nageeye will compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Kibiwott Kandie\",\n",
      "\n",
      "\"description\": \"Kibiwott Kandie will make his marathon debut in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Peres Jepchirchir\",\n",
      "\n",
      "\"description\": \"Peres Jepchirchir will headline the women's race in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Molly Seidel\",\n",
      "\n",
      "\"description\": \"Molly Seidel will compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Shalane Flanagan\",\n",
      "\n",
      "\"description\": \"Shalane Flanagan will aim to complete her challenge of running six marathons in 42 days in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, identify and extract all entities within the text that match the specified entity types. After identifying the entities, determine the relationships between these entities based on their interactions and dependencies within the context of the text. Ensure that the extracted entities and relationships are formatted according to the specified JSON schema, including the fields `entity_name`, `entity_type`, `description`, `importance_score` for entities, and `src_id`, `tgt_id`, `description`, `weight`, and `order` for relationships. Provide a detailed step-by-step reasoning process to justify the extraction and relationship determination.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, identify and extract all entities within the text that match the specified entity types. After identifying the entities, determine the relationships between these entities based on their interactions and dependencies within the context of the text. Ensure that the extracted entities and relationships are formatted according to the specified JSON schema, including the fields `entity_name`, `entity_type`, `description`, `importance_score` for entities, and `src_id`, `tgt_id`, `description`, `weight`, and `order` for relationships. Provide a detailed step-by-step reasoning process to justify the extraction and relationship determination.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and their relationships from a given text. It works by first identifying entities in the text based on predefined entity types, then determining the relationships between these entities considering their interactions and the context provided in the text. The program ensures that each entity and relationship is described comprehensively and assigned appropriate importance scores and weights. The output is formatted according to a specified JSON schema, listing entities and their relationships in a structured manner.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos Input Text:  (CNN)Former Bosnian Serb army leader Ratko Mladic was sentenced to life in prison Wednesday after being found guilty of genocide for atrocities committed during the Bosnian war from 1992 to 1995.Verdict proceedings had been interrupted earlier when the 74-year-old's legal team claimed that his blood pressure was too high to continue.After outbursts from Mladic, Judge Alphons Orie, who was delivering a summation of the case, ordered the removal of the ex-general, telling him he could monitor proceedings by audio and video. \"I am very distraught,\" Mladic shouted inside the courtroom. \"Everything that you have said is pure lies. Shame on you. It's all lies.\"Mladic's legal team had asked for proceedings to be halted or for the summation of the case to be skipped, which the Judge refused. Read MoreMladic was charged with two counts of genocide and nine crimes against humanity and war crimes for his role in the conflict in the former Yugoslavia from 1992 to 1995, during which 100,000 people were killed and another 2.2 million displaced. He was found not guilty on one charge of genocide, but received a guilty verdict on each of the other 10 counts. Mladic's lawyer, Dragan Ivetic, said it was \"certain\" Mladic would appeal.\"Butcher of Bosnia\" Ratko Mladic has been found guilty of the highest crimes against international law, says CNN's @camanpour, who covered the Bosnian war https://t.co/4A7DtVjHn8 pic.twitter.com/HdPKU3tqRD— CNN International (@cnni) November 22, 2017The trial, which opened in 2012, took place at the International Criminal Tribunal for the former Yugoslavia in The Hague, Netherlands. The ad hoc court was established to prosecute crimes committed during the Balkans conflict.  Mladic was accused of orchestrating a campaign of ethnic cleansing, including the slaughter of thousands of Muslim men and boys at Srebrenica in July 1995. It is the worst massacre to have taken place in Europe since the Second World War.Mladic judgment brings back stench of Bosnian genocideProsecutor Serge Brammertz told reporters that Mladic will be remembered by history \"for the many communities and lives he destroyed.\"\"Today's judgment is a milestone in the tribunal's history and for international justice,\" he added.The trial of Mladic, who was arrested in 2011, has lasted 530 days and included more than 500 witnesses and nearly 10,000 exhibits. Before the case was adjourned last December, prosecutors recommended a life sentence. Mladic had previously referred to the court as \"satanic\" and labeled the charges against him as \"obnoxious.\"ReactionAt a center for the association of women victims of war in Sarajevo, there was an outpouring of emotion during the judge's summation.There was particular frustration that Mladic was acquitted on one charge of genocide in Bosnian municipalities outside of Srebrenica.Amela Meduseljac (L) and Meliha Mrdzic were unhappy that Mladic was acquitted on one charge.Meliha Mrdzic, who said her father and brother were killed and thrown into the Drina River in Visegrad, told CNN she was left humiliated by the decision.\"The international community made me a victim a second time,\" she said. \"They make it seem like we killed ourselves, raped ourselves, slaughtered ourselves. I feel so hurt, I can't describe it.\"Amela Meduseljac, who said she was raped by Mladic's soldiers at Visegrad, said that victims will struggle to get over the judgment.\"Our mission as a rape survivor association was to stop victims from feeling like victims,\" she said. \"But it's getting worse from year to year and it will get especially worse after this verdict.\"People in Srebrenica celebrate as they watch a live TV broadcast of the trial Wednesday.UN High Commissioner for Human Rights Zeid Ra'ad Al Hussein called Mladic the \"epitome of evil\" and labeled his conviction a \"momentous victory for justice.\"  \"Mladic presided over some of the darkest crimes to occur in Europe since World War II, bringing terror, death and destruction to thousands of victims, and sorrow, tragedy and trauma to countless more,\" Zeid said in a statement.\"His conviction is a testament to the courage and determination of those victims and witnesses who never gave up hope that they would see him brought to justice.\"A woman writes in a book inside a traveling monument called \"Prijedor 92\" outside the tribunal in The Hague on Wednesday.In Serbia, the country's president, Aleksandar Vučić, urged his people to look forward to the future.\"Today is not a day for joy, nor for sorrow, but to see what kind of future we want,\" he told reporters. \"We all knew that the judgment would be like that. There is no one who did not know it in advance. My call to all citizens of Serbia is to start looking at the future today. \"Let's think about where and how our children will live. How and in what way will we preserve peace and stability in the region\"In a separate development, Serbia's Minister for Justice Nela Kuburović urged that Mladic be released to undergo medical treatment.Who is Ratko Mladic?The ex-general -- accused of being \"the Butcher of Bosnia\" -- was in command of the Bosnian Serb army that entered the town of Srebrenica in July 1995. In the days that followed, 8,000 Muslim men and boys were systematically slaughtered by troops under his leadership.JUST WATCHEDAmanpour meets the 'Butcher of Bosnia'ReplayMore Videos ...MUST WATCHAmanpour meets the 'Butcher of Bosnia' 04:05The late Bosnia peace negotiator Richard Holbrooke once described Mladic as \"one of those lethal combinations that history thrusts up occasionally -- a charismatic murderer.\"Read: Bosnia's future is tied to justiceMladic faced charges over his actions during the siege of Sarajevo, where his heavily armed forces cut the city off from the outside world. Serb forces pounded the city from higher ground each day, trapping Sarajevo's residents in the valley below. More than 10,000 people, mostly civilians, perished.JUST WATCHEDMarking 20 years since Srebrenica: A survivor's storyReplayMore Videos ...MUST WATCHMarking 20 years since Srebrenica: A survivor's story 04:26After the war ended in 1995, Mladic went on the run before being found 16 years later when police burst into the garden of a small house in northern Serbia.Though he was carrying two handguns, he surrendered without a fight. He was extradited for trial in the Netherlands.Srebrenica massacre: Two decades on, wounds still raw, graves still openIn 2011, a tribunal judge entered pleas of not guilty for Mladic after he refused to cooperate and was forcibly removed from the courtroom at the judge's order.Mladic's judgment day comes more than a year after Bosnian Serb political leader Radovan Karadzic was sentenced to 40 years in prison for his role in the 1990s conflict. Former Serbian President Slobodan Milosevic was arrested in 2001 but died before his trial could be completed.At a news conference following the verdict, Mladic's son Darko said that his father felt sorry for every victim of the conflict. \"General Mladic cannot accept responsibility for things he did not do,\" Darko Mladic said. He argued that what had happened in Srebrenica was \"legitimate.\"Melina Borcak and Lindsay Isaac in Sarajevo contributed to this report.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. We ensure that each entity and relationship is described comprehensively and assigned appropriate importance scores and weights.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ratko Mladic\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Former Bosnian Serb army leader found guilty of genocide and other crimes during the Bosnian war.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Bosnian war\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Conflict in the former Yugoslavia from 1992 to 1995 involving atrocities and genocide.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Srebrenica\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"Site of the worst massacre in Europe since World War II, where thousands of Muslim men and boys were slaughtered.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"International Criminal Tribunal for the former Yugoslavia\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"Ad hoc court established to prosecute crimes committed during the Balkans conflict.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Sarajevo\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"Capital of Bosnia and Herzegovina, heavily affected by the Bosnian war.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Drina River\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"River in Bosnia and Herzegovina where victims were thrown.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Aleksandar Vučić\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"President of Serbia during the trial of Ratko Mladic.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Radovan Karadzic\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Bosnian Serb political leader sentenced for his role in the 1990s conflict.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Slobodan Milosevic\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Former Serbian President who died before his trial could be completed.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Bosnian war\",\n",
      "\n",
      "\"description\": \"Ratko Mladic was a key figure in the Bosnian war, leading the Bosnian Serb army.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Bosnian war\",\n",
      "\n",
      "\"tgt_id\": \"Srebrenica\",\n",
      "\n",
      "\"description\": \"The Bosnian war included the massacre at Srebrenica.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"International Criminal Tribunal for the former Yugoslavia\",\n",
      "\n",
      "\"description\": \"Ratko Mladic's trial took place at the International Criminal Tribunal for the former Yugoslavia.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Sarajevo\",\n",
      "\n",
      "\"description\": \"Ratko Mladic's forces besieged Sarajevo during the Bosnian war.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Drina River\",\n",
      "\n",
      "\"description\": \"Victims of Ratko Mladic's forces were thrown into the Drina River.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Aleksandar Vučić\",\n",
      "\n",
      "\"tgt_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"description\": \"Aleksandar Vučić, as the President of Serbia, commented on the trial of Ratko Mladic.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Radovan Karadzic\",\n",
      "\n",
      "\"description\": \"Ratko Mladic and Radovan Karadzic were both key figures in the Bosnian Serb leadership during the war.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Slobodan Milosevic\",\n",
      "\n",
      "\"description\": \"Ratko Mladic and Slobodan Milosevic were both involved in the conflicts in the former Yugoslavia.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)Neymar surpassed Ronaldo and moved to second on Brazil's all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.Two penalties and a last-minute tap-in took the Paris Saint-Germain forward's tally to 64 for his country, two ahead of Ronaldo and 13 behind Pele's all-time record of 77.Everton's Richarlison scored Brazil's other goal as the five-time world champion twice had to come from behind to secure the win.Brazil head coach Tite told reporters after the match that it was \"unfair\" to compare Neymar and Ronaldo.\"What I can say is Neymar has this unpredictability,\" he said. \"He is the bow and the arrow, he's a player who both makes and takes chances. And he gets better and better, and more mature.\"Read MoreNeymar celebrates after completing his hat-trick against Peru.The match had a number of controversial VAR moments, particularly the decision to award Neymar a second penalty late in the game with the score tied at 2-2, a decision which surprised even the Brazilian players.Peru's anger was compounded in stoppage time when Carlos Zambrano was shown a red card for an elbow on Richarlison. The Everton forward had escaped punishment for a similar incident earlier in the match that left Peru's Miguel Trauco with a bloody wound above his eye.The latest incidents added to a growing list of decisions that have left South American fans scratching their heads during this international break, the first time VAR has been used in CONMEBOL World Cup qualifiersBrazil's victory ensures it begins the grueling 18-month campaign with a 100% record to top the standings on six points along with Argentina, which secured an impressive 2-1 win in the altitude of La Paz, Bolivia earlier in the day.The top four teams will qualify automatically for Qatar 2022, with the fifth-placed team competing in a two-legged playoff against a country from another continent.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Neymar\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Brazilian footballer who surpassed Ronaldo and moved to second on Brazil's all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ronaldo\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A former Brazilian footballer who was previously second on Brazil's all-time goalscoring list.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Pele\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A legendary Brazilian footballer who holds the all-time record for Brazil with 77 goals.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Brazil\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A country where the football match took place and where Neymar and Ronaldo are from.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Peru\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The opposing country in the football match against Brazil.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"World Cup\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"An international football competition where the qualifying match between Brazil and Peru took place.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Neymar\",\n",
      "\n",
      "\"tgt_id\": \"Ronaldo\",\n",
      "\n",
      "\"description\": \"Neymar surpassed Ronaldo on Brazil's all-time goalscoring list.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Neymar\",\n",
      "\n",
      "\"tgt_id\": \"Pele\",\n",
      "\n",
      "\"description\": \"Neymar is 13 goals behind Pele's all-time record for Brazil.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Brazil\",\n",
      "\n",
      "\"tgt_id\": \"Peru\",\n",
      "\n",
      "\"description\": \"Brazil won a football match against Peru in World Cup qualifying.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and their relationships from a given text. It works by first identifying entities in the text based on predefined entity types, then determining the relationships between these entities considering their interactions and the context provided in the text. The program ensures that each entity and relationship is described comprehensively and assigned appropriate importance scores and weights. The output is formatted according to a specified JSON schema, listing entities and their relationships in a structured manner.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S):\n",
      "Input Text:  (CNN)Former Bosnian Serb army leader Ratko Mladic was sentenced to life in prison Wednesday after being found guilty of genocide for atrocities committed during the Bosnian war from 1992 to 1995.Verdict proceedings had been interrupted earlier when the 74-year-old's legal team claimed that his blood pressure was too high to continue.After outbursts from Mladic, Judge Alphons Orie, who was delivering a summation of the case, ordered the removal of the ex-general, telling him he could monitor proceedings by audio and video. \"I am very distraught,\" Mladic shouted inside the courtroom. \"Everything that you have said is pure lies. Shame on you. It's all lies.\"Mladic's legal team had asked for proceedings to be halted or for the summation of the case to be skipped, which the Judge refused. Read MoreMladic was charged with two counts of genocide and nine crimes against humanity and war crimes for his role in the conflict in the former Yugoslavia from 1992 to 1995, during which 100,000 people were killed and another 2.2 million displaced. He was found not guilty on one charge of genocide, but received a guilty verdict on each of the other 10 counts. Mladic's lawyer, Dragan Ivetic, said it was \"certain\" Mladic would appeal.\"Butcher of Bosnia\" Ratko Mladic has been found guilty of the highest crimes against international law, says CNN's @camanpour, who covered the Bosnian war https://t.co/4A7DtVjHn8 pic.twitter.com/HdPKU3tqRD— CNN International (@cnni) November 22, 2017The trial, which opened in 2012, took place at the International Criminal Tribunal for the former Yugoslavia in The Hague, Netherlands. The ad hoc court was established to prosecute crimes committed during the Balkans conflict.  Mladic was accused of orchestrating a campaign of ethnic cleansing, including the slaughter of thousands of Muslim men and boys at Srebrenica in July 1995. It is the worst massacre to have taken place in Europe since the Second World War.Mladic judgment brings back stench of Bosnian genocideProsecutor Serge Brammertz told reporters that Mladic will be remembered by history \"for the many communities and lives he destroyed.\"\"Today's judgment is a milestone in the tribunal's history and for international justice,\" he added.The trial of Mladic, who was arrested in 2011, has lasted 530 days and included more than 500 witnesses and nearly 10,000 exhibits. Before the case was adjourned last December, prosecutors recommended a life sentence. Mladic had previously referred to the court as \"satanic\" and labeled the charges against him as \"obnoxious.\"ReactionAt a center for the association of women victims of war in Sarajevo, there was an outpouring of emotion during the judge's summation.There was particular frustration that Mladic was acquitted on one charge of genocide in Bosnian municipalities outside of Srebrenica.Amela Meduseljac (L) and Meliha Mrdzic were unhappy that Mladic was acquitted on one charge.Meliha Mrdzic, who said her father and brother were killed and thrown into the Drina River in Visegrad, told CNN she was left humiliated by the decision.\"The international community made me a victim a second time,\" she said. \"They make it seem like we killed ourselves, raped ourselves, slaughtered ourselves. I feel so hurt, I can't describe it.\"Amela Meduseljac, who said she was raped by Mladic's soldiers at Visegrad, said that victims will struggle to get over the judgment.\"Our mission as a rape survivor association was to stop victims from feeling like victims,\" she said. \"But it's getting worse from year to year and it will get especially worse after this verdict.\"People in Srebrenica celebrate as they watch a live TV broadcast of the trial Wednesday.UN High Commissioner for Human Rights Zeid Ra'ad Al Hussein called Mladic the \"epitome of evil\" and labeled his conviction a \"momentous victory for justice.\"  \"Mladic presided over some of the darkest crimes to occur in Europe since World War II, bringing terror, death and destruction to thousands of victims, and sorrow, tragedy and trauma to countless more,\" Zeid said in a statement.\"His conviction is a testament to the courage and determination of those victims and witnesses who never gave up hope that they would see him brought to justice.\"A woman writes in a book inside a traveling monument called \"Prijedor 92\" outside the tribunal in The Hague on Wednesday.In Serbia, the country's president, Aleksandar Vučić, urged his people to look forward to the future.\"Today is not a day for joy, nor for sorrow, but to see what kind of future we want,\" he told reporters. \"We all knew that the judgment would be like that. There is no one who did not know it in advance. My call to all citizens of Serbia is to start looking at the future today. \"Let's think about where and how our children will live. How and in what way will we preserve peace and stability in the region\"In a separate development, Serbia's Minister for Justice Nela Kuburović urged that Mladic be released to undergo medical treatment.Who is Ratko Mladic?The ex-general -- accused of being \"the Butcher of Bosnia\" -- was in command of the Bosnian Serb army that entered the town of Srebrenica in July 1995. In the days that followed, 8,000 Muslim men and boys were systematically slaughtered by troops under his leadership.JUST WATCHEDAmanpour meets the 'Butcher of Bosnia'ReplayMore Videos ...MUST WATCHAmanpour meets the 'Butcher of Bosnia' 04:05The late Bosnia peace negotiator Richard Holbrooke once described Mladic as \"one of those lethal combinations that history thrusts up occasionally -- a charismatic murderer.\"Read: Bosnia's future is tied to justiceMladic faced charges over his actions during the siege of Sarajevo, where his heavily armed forces cut the city off from the outside world. Serb forces pounded the city from higher ground each day, trapping Sarajevo's residents in the valley below. More than 10,000 people, mostly civilians, perished.JUST WATCHEDMarking 20 years since Srebrenica: A survivor's storyReplayMore Videos ...MUST WATCHMarking 20 years since Srebrenica: A survivor's story 04:26After the war ended in 1995, Mladic went on the run before being found 16 years later when police burst into the garden of a small house in northern Serbia.Though he was carrying two handguns, he surrendered without a fight. He was extradited for trial in the Netherlands.Srebrenica massacre: Two decades on, wounds still raw, graves still openIn 2011, a tribunal judge entered pleas of not guilty for Mladic after he refused to cooperate and was forcibly removed from the courtroom at the judge's order.Mladic's judgment day comes more than a year after Bosnian Serb political leader Radovan Karadzic was sentenced to 40 years in prison for his role in the 1990s conflict. Former Serbian President Slobodan Milosevic was arrested in 2001 but died before his trial could be completed.At a news conference following the verdict, Mladic's son Darko said that his father felt sorry for every victim of the conflict. \"General Mladic cannot accept responsibility for things he did not do,\" Darko Mladic said. He argued that what had happened in Srebrenica was \"legitimate.\"Melina Borcak and Lindsay Isaac in Sarajevo contributed to this report.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. We ensure that each entity and relationship is described comprehensively and assigned appropriate importance scores and weights.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ratko Mladic\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Former Bosnian Serb army leader found guilty of genocide and other crimes during the Bosnian war.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Bosnian war\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Conflict in the former Yugoslavia from 1992 to 1995 involving atrocities and genocide.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Srebrenica\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"Site of the worst massacre in Europe since World War II, where thousands of Muslim men and boys were slaughtered.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"International Criminal Tribunal for the former Yugoslavia\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"Ad hoc court established to prosecute crimes committed during the Balkans conflict.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Sarajevo\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"Capital of Bosnia and Herzegovina, heavily affected by the Bosnian war.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Drina River\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"River in Bosnia and Herzegovina where victims were thrown.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Aleksandar Vučić\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"President of Serbia during the trial of Ratko Mladic.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Radovan Karadzic\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Bosnian Serb political leader sentenced for his role in the 1990s conflict.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Slobodan Milosevic\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Former Serbian President who died before his trial could be completed.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Bosnian war\",\n",
      "\n",
      "\"description\": \"Ratko Mladic was a key figure in the Bosnian war, leading the Bosnian Serb army.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Bosnian war\",\n",
      "\n",
      "\"tgt_id\": \"Srebrenica\",\n",
      "\n",
      "\"description\": \"The Bosnian war included the massacre at Srebrenica.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"International Criminal Tribunal for the former Yugoslavia\",\n",
      "\n",
      "\"description\": \"Ratko Mladic's trial took place at the International Criminal Tribunal for the former Yugoslavia.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Sarajevo\",\n",
      "\n",
      "\"description\": \"Ratko Mladic's forces besieged Sarajevo during the Bosnian war.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Drina River\",\n",
      "\n",
      "\"description\": \"Victims of Ratko Mladic's forces were thrown into the Drina River.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Aleksandar Vučić\",\n",
      "\n",
      "\"tgt_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"description\": \"Aleksandar Vučić, as the President of Serbia, commented on the trial of Ratko Mladic.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Radovan Karadzic\",\n",
      "\n",
      "\"description\": \"Ratko Mladic and Radovan Karadzic were both key figures in the Bosnian Serb leadership during the war.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Ratko Mladic\",\n",
      "\n",
      "\"tgt_id\": \"Slobodan Milosevic\",\n",
      "\n",
      "\"description\": \"Ratko Mladic and Slobodan Milosevic were both involved in the conflicts in the former Yugoslavia.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)Neymar surpassed Ronaldo and moved to second on Brazil's all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.Two penalties and a last-minute tap-in took the Paris Saint-Germain forward's tally to 64 for his country, two ahead of Ronaldo and 13 behind Pele's all-time record of 77.Everton's Richarlison scored Brazil's other goal as the five-time world champion twice had to come from behind to secure the win.Brazil head coach Tite told reporters after the match that it was \"unfair\" to compare Neymar and Ronaldo.\"What I can say is Neymar has this unpredictability,\" he said. \"He is the bow and the arrow, he's a player who both makes and takes chances. And he gets better and better, and more mature.\"Read MoreNeymar celebrates after completing his hat-trick against Peru.The match had a number of controversial VAR moments, particularly the decision to award Neymar a second penalty late in the game with the score tied at 2-2, a decision which surprised even the Brazilian players.Peru's anger was compounded in stoppage time when Carlos Zambrano was shown a red card for an elbow on Richarlison. The Everton forward had escaped punishment for a similar incident earlier in the match that left Peru's Miguel Trauco with a bloody wound above his eye.The latest incidents added to a growing list of decisions that have left South American fans scratching their heads during this international break, the first time VAR has been used in CONMEBOL World Cup qualifiersBrazil's victory ensures it begins the grueling 18-month campaign with a 100% record to top the standings on six points along with Argentina, which secured an impressive 2-1 win in the altitude of La Paz, Bolivia earlier in the day.The top four teams will qualify automatically for Qatar 2022, with the fifth-placed team competing in a two-legged playoff against a country from another continent.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Neymar\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Brazilian footballer who surpassed Ronaldo and moved to second on Brazil's all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ronaldo\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A former Brazilian footballer who was previously second on Brazil's all-time goalscoring list.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Pele\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A legendary Brazilian footballer who holds the all-time record for Brazil with 77 goals.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Brazil\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A country where the football match took place and where Neymar and Ronaldo are from.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Peru\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The opposing country in the football match against Brazil.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"World Cup\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"An international football competition where the qualifying match between Brazil and Peru took place.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Neymar\",\n",
      "\n",
      "\"tgt_id\": \"Ronaldo\",\n",
      "\n",
      "\"description\": \"Neymar surpassed Ronaldo on Brazil's all-time goalscoring list.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Neymar\",\n",
      "\n",
      "\"tgt_id\": \"Pele\",\n",
      "\n",
      "\"description\": \"Neymar is 13 goals behind Pele's all-time record for Brazil.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Brazil\",\n",
      "\n",
      "\"tgt_id\": \"Peru\",\n",
      "\n",
      "\"description\": \"Brazil won a football match against Peru in World Cup qualifying.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide a comprehensive description and assign an importance score. Subsequently, determine the relationships between these entities, considering their interactions and the context provided in the text. Each relationship should include a description and appropriate weight. Ensure that the output is formatted according to the specified JSON schema, listing entities and their relationships in a structured manner.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide a comprehensive description and assign an importance score. Subsequently, determine the relationships between these entities, considering their interactions and the context provided in the text. Each relationship should include a description and appropriate weight. Ensure that the output is formatted according to the specified JSON schema, listing entities and their relationships in a structured manner.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and their relationships from a given text input. It works by first identifying entities in the text based on specified entity types. Then, it determines the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, it formats the entities and relationships according to a specified JSON schema. The program uses a language model to perform these tasks and includes mechanisms for error handling and retries to ensure accurate results.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos Input Text:  (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men's elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that's why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it's also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge's world record time two years ago. Bekele catches his breath after this year's Berlin Marathon. Despite expectations that he could challenge Kipchoge's record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night's sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It's a little bit tough for me because the day before also I couldn't sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I've recovered well ... At this moment, I'm really strong. I hope I'll achieve a good result on Sunday.\"For race organizers, who called off last year's New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele's 5,000m world record stood for 16 years before it was broken by Uganda's Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has 'the qualities of an ascetic monk'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya's Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance's two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city's five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It's more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women's race is headlined by Kenya's Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA's Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he's grateful to be able to race in New York following the pandemic and last year's cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"New York City Marathon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Annual marathon in New York City, returning after a two-year hiatus due to the pandemic.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Eliud Kipchoge\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Marathon world record holder and dominant runner over the 26.2 miles of a marathon.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Berlin Marathon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Annual marathon in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Guye Adola\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Winner of the Berlin Marathon, finishing more than a minute ahead of Kenenisa Bekele.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Adbi Nageeye\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Dutch runner who won the silver medal at the Olympics in Sapporo and will compete in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kibiwott Kandie\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Half marathon world record holder from Kenya, making his marathon debut in New York.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Peres Jepchirchir\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Kenyan runner and gold medalist at the Olympics, headlining the women's race in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Molly Seidel\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"American runner and Olympic bronze medalist, competing in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Shalane Flanagan\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"US star attempting to run six marathons in 42 days, including the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"New York City Marathon\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele is primed to compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Eliud Kipchoge\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele aims to make more history in his storied career, comparing himself to Eliud Kipchoge.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Berlin Marathon\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele had a disappointing outing at the Berlin Marathon six weeks ago.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Guye Adola\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele finished third in the Berlin Marathon, more than a minute behind winner Guye Adola.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Adbi Nageeye\",\n",
      "\n",
      "\"description\": \"Adbi Nageeye will compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Kibiwott Kandie\",\n",
      "\n",
      "\"description\": \"Kibiwott Kandie will make his marathon debut in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Peres Jepchirchir\",\n",
      "\n",
      "\"description\": \"Peres Jepchirchir will headline the women's race in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Molly Seidel\",\n",
      "\n",
      "\"description\": \"Molly Seidel will compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Shalane Flanagan\",\n",
      "\n",
      "\"description\": \"Shalane Flanagan will aim to complete her challenge of running six marathons in 42 days in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and their relationships from a given text input. It works by first identifying entities in the text based on specified entity types. Then, it determines the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, it formats the entities and relationships according to a specified JSON schema. The program uses a language model to perform these tasks and includes mechanisms for error handling and retries to ensure accurate results.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S):\n",
      "Input Text:  (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men's elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that's why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it's also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge's world record time two years ago. Bekele catches his breath after this year's Berlin Marathon. Despite expectations that he could challenge Kipchoge's record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night's sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It's a little bit tough for me because the day before also I couldn't sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I've recovered well ... At this moment, I'm really strong. I hope I'll achieve a good result on Sunday.\"For race organizers, who called off last year's New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele's 5,000m world record stood for 16 years before it was broken by Uganda's Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has 'the qualities of an ascetic monk'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya's Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance's two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city's five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It's more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women's race is headlined by Kenya's Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA's Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he's grateful to be able to race in New York following the pandemic and last year's cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"New York City Marathon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Annual marathon in New York City, returning after a two-year hiatus due to the pandemic.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Eliud Kipchoge\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Marathon world record holder and dominant runner over the 26.2 miles of a marathon.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Berlin Marathon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"Annual marathon in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Guye Adola\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Winner of the Berlin Marathon, finishing more than a minute ahead of Kenenisa Bekele.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Adbi Nageeye\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Dutch runner who won the silver medal at the Olympics in Sapporo and will compete in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kibiwott Kandie\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Half marathon world record holder from Kenya, making his marathon debut in New York.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Peres Jepchirchir\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Kenyan runner and gold medalist at the Olympics, headlining the women's race in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Molly Seidel\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"American runner and Olympic bronze medalist, competing in the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Shalane Flanagan\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"US star attempting to run six marathons in 42 days, including the New York City Marathon.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"New York City Marathon\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele is primed to compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Eliud Kipchoge\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele aims to make more history in his storied career, comparing himself to Eliud Kipchoge.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Berlin Marathon\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele had a disappointing outing at the Berlin Marathon six weeks ago.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Kenenisa Bekele\",\n",
      "\n",
      "\"tgt_id\": \"Guye Adola\",\n",
      "\n",
      "\"description\": \"Kenenisa Bekele finished third in the Berlin Marathon, more than a minute behind winner Guye Adola.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Adbi Nageeye\",\n",
      "\n",
      "\"description\": \"Adbi Nageeye will compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Kibiwott Kandie\",\n",
      "\n",
      "\"description\": \"Kibiwott Kandie will make his marathon debut in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Peres Jepchirchir\",\n",
      "\n",
      "\"description\": \"Peres Jepchirchir will headline the women's race in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Molly Seidel\",\n",
      "\n",
      "\"description\": \"Molly Seidel will compete in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"New York City Marathon\",\n",
      "\n",
      "\"tgt_id\": \"Shalane Flanagan\",\n",
      "\n",
      "\"description\": \"Shalane Flanagan will aim to complete her challenge of running six marathons in 42 days in the New York City Marathon.\",\n",
      "\n",
      "\"weight\": 0.4,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, meticulously extract entities and their relationships from the text. First, identify all entities in the text that match the provided entity types, ensuring each entity includes its name, type, a brief description, and an importance score. Next, determine the relationships between these entities by analyzing their interactions and dependencies within the context of the text. Each relationship should include the source entity ID, target entity ID, a description of the relationship, a weight indicating the strength of the relationship, and an order indicating the sequence of the relationship. Finally, format the entities and relationships according to the specified JSON schema, ensuring all fields are correctly populated and validated.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, meticulously extract entities and their relationships from the text. First, identify all entities in the text that match the provided entity types, ensuring each entity includes its name, type, a brief description, and an importance score. Next, determine the relationships between these entities by analyzing their interactions and dependencies within the context of the text. Each relationship should include the source entity ID, target entity ID, a description of the relationship, a weight indicating the strength of the relationship, and an order indicating the sequence of the relationship. Finally, format the entities and relationships according to the specified JSON schema, ensuring all fields are correctly populated and validated.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and their relationships from a given text. It uses a language model to identify entities based on specified types and then determines the relationships between these entities. The program works by first defining a signature that includes input fields for the text and entity types, and output fields for reasoning and the extracted entities and relationships. It then uses a TypedPredictor to enforce type annotations and handle potential errors, ensuring that the output matches the expected format. The program iteratively attempts to extract and validate the entities and relationships, providing explanations for errors and suggesting corrections if necessary. Finally, it returns the extracted entities and their relationships in a structured format.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos Input Text:  (CNN)Roger Federer thinks the professional tennis circuit won't return for a while due to the coronavirus pandemic but, when the time does come, the Swiss superstar said he would find it difficult to play without fans. While European football's Bundesliga resurfaced last week behind closed doors and Spain's La Liga is set to resume the middle of next month, the last official word from tennis authorities essentially saw all action suspended through July. The hiatus began in March, with Federer already sidelined since he was recuperating from knee surgery. Sunday would have marked the first day of the French Open in its usual spot on the tennis calendar -- in March, though, it was rescheduled for September -- and another grand slam, Wimbledon in July, was called off. \"I'm not training at the moment because I don't see a reason for that to be honest,\" Federer told three-time French Open champion Gustavo Kuerten -- who is raising funds for coronavirus relief efforts in his native Brazil -- in a video interview reported by Tennis.com.Read More\"I am happy with my body now and I still believe that the return of the tour is a long way off,\" continued the 38-year-old. \"And I think it's important mentally to enjoy this break, having played so much tennis. \"When I'm getting towards returning and have a goal to train for, I think I will be super motivated.\"We should be sliding into @rolandgarros right now, thinking of our mates in Paris 👋 pic.twitter.com/0PLKryyIjj— #AusOpen (@AustralianOpen) May 24, 2020 Federer is arguably tennis' best supported player ever, and the prospect of competing without spectators doesn't appeal to him. \"Most of the time when we are training, there is no one,\" said the men's record 20-time grand slam champion. \"For us, of course, it is possible to play if there are no fans. But on the other hand, I really hope that the circuit can return as it normally is. \"And hold off till the time is appropriate, minimum a third of the stadium or half full. But, for me, completely empty when playing big tournaments is very difficult.\"Federer has been active on social media during the lockdown, sparking a public discussion on the merging of the men's and women's tours with a tweet last month and embarking on a funny Instagram Live with tennis rival Rafael Nadal.Nadal, unlike Federer, has started practicing, though only very recently. The Spaniard would have been favored to win a 20th major and tie Federer had the French Open been played as usual given he has collected a record 12 titles at Roland Garros. Here I am, the first pictures I am posting for you on court. This is my practice earlier today at @rnadalacademy #BackOnCourt #BabolatFamily 🎾👍🏻💪🏻😉 pic.twitter.com/x7tzgLj9pc— Rafa Nadal (@RafaelNadal) May 22, 2020 The next grand slam is scheduled to be late August's US Open in New York, with organizers expected to announce in June if it will go ahead.  \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We identify the entities in the text based on the provided entity types and then determine the relationships between these entities. We focus on key entities such as Roger Federer, Rafael Nadal, French Open, and Wimbledon, and their interactions and associations within the context of the text. We also consider the relationships between these entities and other relevant entities like the coronavirus pandemic and the tennis circuit.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Roger Federer\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Swiss professional tennis player, considered one of the greatest of all time.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Rafael Nadal\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Spanish professional tennis player, known for his dominance on clay courts.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"French Open\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A major tennis tournament held over two weeks between late May and early June.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Wimbledon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A major tennis tournament held at the All England Club in Wimbledon, London, every year.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"coronavirus pandemic\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A global outbreak of a novel coronavirus that has led to significant disruptions worldwide.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Roger Federer\",\n",
      "\n",
      "\"tgt_id\": \"French Open\",\n",
      "\n",
      "\"description\": \"Roger Federer discusses the impact of the coronavirus pandemic on the French Open's schedule.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Roger Federer\",\n",
      "\n",
      "\"tgt_id\": \"Wimbledon\",\n",
      "\n",
      "\"description\": \"Roger Federer mentions the cancellation of Wimbledon due to the coronavirus pandemic.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Roger Federer\",\n",
      "\n",
      "\"tgt_id\": \"Rafael Nadal\",\n",
      "\n",
      "\"description\": \"Roger Federer and Rafael Nadal engage in social media interactions during the lockdown.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Rafael Nadal\",\n",
      "\n",
      "\"tgt_id\": \"French Open\",\n",
      "\n",
      "\"description\": \"Rafael Nadal is expected to compete in the French Open, a tournament he has won multiple times.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"coronavirus pandemic\",\n",
      "\n",
      "\"tgt_id\": \"French Open\",\n",
      "\n",
      "\"description\": \"The coronavirus pandemic has caused the French Open to be rescheduled.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"coronavirus pandemic\",\n",
      "\n",
      "\"tgt_id\": \"Wimbledon\",\n",
      "\n",
      "\"description\": \"The coronavirus pandemic has led to the cancellation of Wimbledon.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and their relationships from a given text. It uses a language model to identify entities based on specified types and then determines the relationships between these entities. The program works by first defining a signature that includes input fields for the text and entity types, and output fields for reasoning and the extracted entities and relationships. It then uses a TypedPredictor to enforce type annotations and handle potential errors, ensuring that the output matches the expected format. The program iteratively attempts to extract and validate the entities and relationships, providing explanations for errors and suggesting corrections if necessary. Finally, it returns the extracted entities and their relationships in a structured format.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S):\n",
      "Input Text:  (CNN)Roger Federer thinks the professional tennis circuit won't return for a while due to the coronavirus pandemic but, when the time does come, the Swiss superstar said he would find it difficult to play without fans. While European football's Bundesliga resurfaced last week behind closed doors and Spain's La Liga is set to resume the middle of next month, the last official word from tennis authorities essentially saw all action suspended through July. The hiatus began in March, with Federer already sidelined since he was recuperating from knee surgery. Sunday would have marked the first day of the French Open in its usual spot on the tennis calendar -- in March, though, it was rescheduled for September -- and another grand slam, Wimbledon in July, was called off. \"I'm not training at the moment because I don't see a reason for that to be honest,\" Federer told three-time French Open champion Gustavo Kuerten -- who is raising funds for coronavirus relief efforts in his native Brazil -- in a video interview reported by Tennis.com.Read More\"I am happy with my body now and I still believe that the return of the tour is a long way off,\" continued the 38-year-old. \"And I think it's important mentally to enjoy this break, having played so much tennis. \"When I'm getting towards returning and have a goal to train for, I think I will be super motivated.\"We should be sliding into @rolandgarros right now, thinking of our mates in Paris 👋 pic.twitter.com/0PLKryyIjj— #AusOpen (@AustralianOpen) May 24, 2020 Federer is arguably tennis' best supported player ever, and the prospect of competing without spectators doesn't appeal to him. \"Most of the time when we are training, there is no one,\" said the men's record 20-time grand slam champion. \"For us, of course, it is possible to play if there are no fans. But on the other hand, I really hope that the circuit can return as it normally is. \"And hold off till the time is appropriate, minimum a third of the stadium or half full. But, for me, completely empty when playing big tournaments is very difficult.\"Federer has been active on social media during the lockdown, sparking a public discussion on the merging of the men's and women's tours with a tweet last month and embarking on a funny Instagram Live with tennis rival Rafael Nadal.Nadal, unlike Federer, has started practicing, though only very recently. The Spaniard would have been favored to win a 20th major and tie Federer had the French Open been played as usual given he has collected a record 12 titles at Roland Garros. Here I am, the first pictures I am posting for you on court. This is my practice earlier today at @rnadalacademy #BackOnCourt #BabolatFamily 🎾👍🏻💪🏻😉 pic.twitter.com/x7tzgLj9pc— Rafa Nadal (@RafaelNadal) May 22, 2020 The next grand slam is scheduled to be late August's US Open in New York, with organizers expected to announce in June if it will go ahead.  \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We identify the entities in the text based on the provided entity types and then determine the relationships between these entities. We focus on key entities such as Roger Federer, Rafael Nadal, French Open, and Wimbledon, and their interactions and associations within the context of the text. We also consider the relationships between these entities and other relevant entities like the coronavirus pandemic and the tennis circuit.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Roger Federer\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Swiss professional tennis player, considered one of the greatest of all time.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Rafael Nadal\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Spanish professional tennis player, known for his dominance on clay courts.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"French Open\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A major tennis tournament held over two weeks between late May and early June.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Wimbledon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A major tennis tournament held at the All England Club in Wimbledon, London, every year.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"coronavirus pandemic\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A global outbreak of a novel coronavirus that has led to significant disruptions worldwide.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Roger Federer\",\n",
      "\n",
      "\"tgt_id\": \"French Open\",\n",
      "\n",
      "\"description\": \"Roger Federer discusses the impact of the coronavirus pandemic on the French Open's schedule.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Roger Federer\",\n",
      "\n",
      "\"tgt_id\": \"Wimbledon\",\n",
      "\n",
      "\"description\": \"Roger Federer mentions the cancellation of Wimbledon due to the coronavirus pandemic.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Roger Federer\",\n",
      "\n",
      "\"tgt_id\": \"Rafael Nadal\",\n",
      "\n",
      "\"description\": \"Roger Federer and Rafael Nadal engage in social media interactions during the lockdown.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Rafael Nadal\",\n",
      "\n",
      "\"tgt_id\": \"French Open\",\n",
      "\n",
      "\"description\": \"Rafael Nadal is expected to compete in the French Open, a tournament he has won multiple times.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"coronavirus pandemic\",\n",
      "\n",
      "\"tgt_id\": \"French Open\",\n",
      "\n",
      "\"description\": \"The coronavirus pandemic has caused the French Open to be rescheduled.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"coronavirus pandemic\",\n",
      "\n",
      "\"tgt_id\": \"Wimbledon\",\n",
      "\n",
      "\"description\": \"The coronavirus pandemic has led to the cancellation of Wimbledon.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide its `entity_name`, `entity_type`, a concise `description`, and an `importance_score`. Subsequently, determine and list the relationships between these entities, specifying the `src_id` (source entity), `tgt_id` (target entity), a `description` of the relationship, a `weight` indicating the strength of the relationship, and an `order` to indicate the sequence of relationships. Ensure that the relationships are coherent and directly derived from the context provided in the `input_text`.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide its `entity_name`, `entity_type`, a concise `description`, and an `importance_score`. Subsequently, determine and list the relationships between these entities, specifying the `src_id` (source entity), `tgt_id` (target entity), a `description` of the relationship, a `weight` indicating the strength of the relationship, and an `order` to indicate the sequence of relationships. Ensure that the relationships are coherent and directly derived from the context provided in the `input_text`.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to solve the task of entity and relationship extraction from a given text. It works by taking an input text and a list of entity types, then using a language model to identify entities within the text that match the provided types. After identifying the entities, the program determines the relationships between these entities based on their interactions and dependencies within the context of the text. The process involves generating reasoning steps to justify the extraction, and the final output is a list of entities with their types, descriptions, and importance scores, along with relationships between these entities, including descriptions, weights, and order. The program ensures type safety and validation through the use of Pydantic models and retries the extraction process up to a specified number of times if errors are encountered.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos Input Text: Story highlightsThe Man v Fat soccer league is exclusively for men with a body mass index of 30 or moreThe league helps players lose weight, but it also gives them a built-in support group (CNN)After reviewing restaurants for years, Andrew Shanahan became obese and was looking for a way to lose weight.But it wasn't easy to find a program tailored to men. Every time he tried joining a weight-loss group, he was the only man in the room. \"I wondered how many other men felt that there was something missing and who weren't getting the support that you desperately need when you're trying to lose weight,\" he said.So in 2014, with the help of a crowdfunding campaign, Shanahan launched his Man v Fat initiative to reach out to other men like him. The idea drew attention from celebrities such as chef Jamie Oliver, and Shanahan was encouraged to write a book on it the next year. Being based in England, a soccer league seemed like a natural outreach program. And Shanahan received nearly 1,000 applications for 80 spots in the inaugural league, which was created exclusively for men with a body mass index of 30 or more.Read MorePhotographer Simone PerolariMany of the men used to play soccer -- or as it's called in most of the world, football -- but their weight had become an obstacle in pursuing the sport they love.\"I saw people who want to have fun and slim down and believe in what they do,\" said Simone Perolari, who photographed the league and whose images can be seen in the gallery above. \"There is not a space for them in classic football, but some of them are really good players.\"Rob Bird, 40, read about the league in the Birmingham Mail. He played the sport until he was 25, and he calls the 15 years after that the \"fat years\" when he didn't feel comfortable playing. \"I've always loved football, but playing against 'normal-size' guys left me feeling like I couldn't compete as they were faster,\" Bird said. \"(This league) is a level playing field for bigger guys.\" Shanahan isn't sure what he was expecting to result from the league's first season, but the competitiveness of the players surprised him. \"For a long time they haven't had a level playing field to compete on, so they are all determined to give it everything they have,\" he said. \"Fortunately, even those teams who lose can see that the benefits of losing weight and getting healthy more than make up for not topping the league.\"Social mediaFollow @CNNPhotos on Twitter to join the conversation about photography.Shanahan watched bonds form between the men as they enjoyed their favorite sport and supported one another in their goals to get fit and healthy. After 14 weeks, the 80 team members collectively lost 1,727 pounds, with the average weight loss close to 22 pounds per player. Marcus Farnsworth lost more than 70 pounds and is enjoying the energy boost he's received in return. He hopes it will help with his knees and back as he continues to lose weight. But he also enjoyed the togetherness and support of the guys around him. \"It gives you good motivation if one person is feeling hungry or thinking about snacking,\" Farnsworth said. \"We can give advice and communicate through our WhatsApp group for support.\"Bird has dropped nearly 60 pounds and is now down to 210. His gout and leg ulcer have improved \"immeasurably.\"Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.Rob Bird, a player in the Man v Fat soccer league\"I feel a million times better,\" Bird said. \"This has given me the confidence that if you are making the right choices, you will feel better for it. Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.\"Shanahan is expanding the league across the rest of the United Kingdom beginning in July, and he hopes to start similar leagues in the United States and other countries. \"We saw a lot of health improvements, whether it was guys curing their sleep apnea, reversing their diabetes or lowering their blood pressure,\" Shanahan said. \"The other really notable thing was how much many of the players grew in confidence. \"I think it's a great thing to undertake a project with other people who desperately want the same thing. It gives you energy and impetus. Working with the guys has been one of the greatest privileges of my career. To share in their excitement and to witness their achievements has been amazing.\"Simone Perolari is an Italian photographer based in Paris. You can follow him on Facebook and Instagram.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and dependencies within the context of the text.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A soccer league exclusively for men with a body mass index of 30 or more, designed to help them lose weight and provide a support group.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Andrew Shanahan\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A man who became obese after reviewing restaurants for years and later founded the Man v Fat initiative.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Simone Perolari\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"An Italian photographer based in Paris who photographed the Man v Fat soccer league.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Rob Bird\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A 40-year-old man who played soccer until he was 25 and later joined the Man v Fat soccer league.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Marcus Farnsworth\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A participant in the Man v Fat soccer league who lost more than 70 pounds.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Jamie Oliver\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A celebrity chef who supported the Man v Fat initiative.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"England\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The country where the Man v Fat soccer league was initially launched.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"CNN\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A news organization that reported on the Man v Fat soccer league.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Andrew Shanahan\",\n",
      "\n",
      "\"tgt_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"description\": \"Andrew Shanahan founded the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"Simone Perolari\",\n",
      "\n",
      "\"description\": \"Simone Perolari photographed the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"Rob Bird\",\n",
      "\n",
      "\"description\": \"Rob Bird joined the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"Marcus Farnsworth\",\n",
      "\n",
      "\"description\": \"Marcus Farnsworth participated in the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Andrew Shanahan\",\n",
      "\n",
      "\"tgt_id\": \"Jamie Oliver\",\n",
      "\n",
      "\"description\": \"Jamie Oliver supported the Man v Fat initiative founded by Andrew Shanahan.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"England\",\n",
      "\n",
      "\"description\": \"The Man v Fat soccer league was initially launched in England.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"CNN\",\n",
      "\n",
      "\"description\": \"CNN reported on the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of entity and relationship extraction from a given text. It works by taking an input text and a list of entity types, then using a language model to identify entities within the text that match the provided types. After identifying the entities, the program determines the relationships between these entities based on their interactions and dependencies within the context of the text. The process involves generating reasoning steps to justify the extraction, and the final output is a list of entities with their types, descriptions, and importance scores, along with relationships between these entities, including descriptions, weights, and order. The program ensures type safety and validation through the use of Pydantic models and retries the extraction process up to a specified number of times if errors are encountered.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S):\n",
      "Input Text: Story highlightsThe Man v Fat soccer league is exclusively for men with a body mass index of 30 or moreThe league helps players lose weight, but it also gives them a built-in support group (CNN)After reviewing restaurants for years, Andrew Shanahan became obese and was looking for a way to lose weight.But it wasn't easy to find a program tailored to men. Every time he tried joining a weight-loss group, he was the only man in the room. \"I wondered how many other men felt that there was something missing and who weren't getting the support that you desperately need when you're trying to lose weight,\" he said.So in 2014, with the help of a crowdfunding campaign, Shanahan launched his Man v Fat initiative to reach out to other men like him. The idea drew attention from celebrities such as chef Jamie Oliver, and Shanahan was encouraged to write a book on it the next year. Being based in England, a soccer league seemed like a natural outreach program. And Shanahan received nearly 1,000 applications for 80 spots in the inaugural league, which was created exclusively for men with a body mass index of 30 or more.Read MorePhotographer Simone PerolariMany of the men used to play soccer -- or as it's called in most of the world, football -- but their weight had become an obstacle in pursuing the sport they love.\"I saw people who want to have fun and slim down and believe in what they do,\" said Simone Perolari, who photographed the league and whose images can be seen in the gallery above. \"There is not a space for them in classic football, but some of them are really good players.\"Rob Bird, 40, read about the league in the Birmingham Mail. He played the sport until he was 25, and he calls the 15 years after that the \"fat years\" when he didn't feel comfortable playing. \"I've always loved football, but playing against 'normal-size' guys left me feeling like I couldn't compete as they were faster,\" Bird said. \"(This league) is a level playing field for bigger guys.\" Shanahan isn't sure what he was expecting to result from the league's first season, but the competitiveness of the players surprised him. \"For a long time they haven't had a level playing field to compete on, so they are all determined to give it everything they have,\" he said. \"Fortunately, even those teams who lose can see that the benefits of losing weight and getting healthy more than make up for not topping the league.\"Social mediaFollow @CNNPhotos on Twitter to join the conversation about photography.Shanahan watched bonds form between the men as they enjoyed their favorite sport and supported one another in their goals to get fit and healthy. After 14 weeks, the 80 team members collectively lost 1,727 pounds, with the average weight loss close to 22 pounds per player. Marcus Farnsworth lost more than 70 pounds and is enjoying the energy boost he's received in return. He hopes it will help with his knees and back as he continues to lose weight. But he also enjoyed the togetherness and support of the guys around him. \"It gives you good motivation if one person is feeling hungry or thinking about snacking,\" Farnsworth said. \"We can give advice and communicate through our WhatsApp group for support.\"Bird has dropped nearly 60 pounds and is now down to 210. His gout and leg ulcer have improved \"immeasurably.\"Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.Rob Bird, a player in the Man v Fat soccer league\"I feel a million times better,\" Bird said. \"This has given me the confidence that if you are making the right choices, you will feel better for it. Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.\"Shanahan is expanding the league across the rest of the United Kingdom beginning in July, and he hopes to start similar leagues in the United States and other countries. \"We saw a lot of health improvements, whether it was guys curing their sleep apnea, reversing their diabetes or lowering their blood pressure,\" Shanahan said. \"The other really notable thing was how much many of the players grew in confidence. \"I think it's a great thing to undertake a project with other people who desperately want the same thing. It gives you energy and impetus. Working with the guys has been one of the greatest privileges of my career. To share in their excitement and to witness their achievements has been amazing.\"Simone Perolari is an Italian photographer based in Paris. You can follow him on Facebook and Instagram.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and dependencies within the context of the text.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A soccer league exclusively for men with a body mass index of 30 or more, designed to help them lose weight and provide a support group.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Andrew Shanahan\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A man who became obese after reviewing restaurants for years and later founded the Man v Fat initiative.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Simone Perolari\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"An Italian photographer based in Paris who photographed the Man v Fat soccer league.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Rob Bird\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A 40-year-old man who played soccer until he was 25 and later joined the Man v Fat soccer league.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Marcus Farnsworth\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A participant in the Man v Fat soccer league who lost more than 70 pounds.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Jamie Oliver\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A celebrity chef who supported the Man v Fat initiative.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"England\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The country where the Man v Fat soccer league was initially launched.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"CNN\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A news organization that reported on the Man v Fat soccer league.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Andrew Shanahan\",\n",
      "\n",
      "\"tgt_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"description\": \"Andrew Shanahan founded the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"Simone Perolari\",\n",
      "\n",
      "\"description\": \"Simone Perolari photographed the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"Rob Bird\",\n",
      "\n",
      "\"description\": \"Rob Bird joined the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"Marcus Farnsworth\",\n",
      "\n",
      "\"description\": \"Marcus Farnsworth participated in the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Andrew Shanahan\",\n",
      "\n",
      "\"tgt_id\": \"Jamie Oliver\",\n",
      "\n",
      "\"description\": \"Jamie Oliver supported the Man v Fat initiative founded by Andrew Shanahan.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"England\",\n",
      "\n",
      "\"description\": \"The Man v Fat soccer league was initially launched in England.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Man v Fat soccer league\",\n",
      "\n",
      "\"tgt_id\": \"CNN\",\n",
      "\n",
      "\"description\": \"CNN reported on the Man v Fat soccer league.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text`, identify all entities that match the provided `entity_types`. For each identified entity, provide its `entity_name`, `entity_type`, `description`, and `importance_score`. Then, determine the relationships between these entities, including the `src_id` (source entity), `tgt_id` (target entity), `description` of the relationship, `weight` of the relationship, and `order` of the relationship. Ensure that the relationships are based on interactions and dependencies within the context of the text.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text`, identify all entities that match the provided `entity_types`. For each identified entity, provide its `entity_name`, `entity_type`, `description`, and `importance_score`. Then, determine the relationships between these entities, including the `src_id` (source entity), `tgt_id` (target entity), `description` of the relationship, `weight` of the relationship, and `order` of the relationship. Ensure that the relationships are based on interactions and dependencies within the context of the text.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to extract entities and relationships from a given text based on specified entity types. It uses a language model to perform this task, ensuring that the output adheres to strict type annotations and JSON schemas. The program follows a structured approach: it first identifies entities in the text according to the provided entity types, then determines the relationships between these entities based on their interactions and dependencies within the context of the text, and finally formats the entities and relationships according to a predefined JSON schema. The program includes error handling and retry mechanisms to ensure the output meets the required specifications.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos Input Text: London (CNN)Prince Philip, the husband of Queen Elizabeth II, is being treated for an infection and is not expected to leave the hospital for several days, according to an update from Buckingham Palace on Tuesday.\"The Duke of Edinburgh remains at King Edward VII's Hospital where he is receiving medical attention for an infection. He is comfortable and responding to treatment but is not expected to leave hospital for several days,\" the palace said in a statement.Prince Philip was taken to the hospital last Tuesday after \"feeling unwell,\" Buckingham Palace said.On Monday, his grandson, Prince William, said the 99-year-old was doing \"OK\" and hospital staff were \"keeping an eye on him.\"Queen Elizabeth and Duke of Edinburgh receive Covid-19 vaccinePrince William made the remarks during a visit to a vaccination center in Norfolk, England, on Monday.Read MoreOn Tuesday, Prince Philip's youngest son, Prince Edward, told the UK's Sky News that he recently spoke to his father, who is doing \"a lot better\" and is looking forward to returning home.Prince Edward said the family was still keeping their \"fingers crossed\" for his father.\"We've had some brilliant and lovely messages from all sorts of people. And we really appreciate that and so does he. I've been passing them on,\" said Prince Edward.Prince Philip, who turns 100 in June, stepped back from public life in 2017 and has been taken to the hospital several times in recent years. In December 2019, he received hospital treatment for a pre-existing condition.His latest admission was not an emergency, according to a royal source, who said he traveled to King Edward VII Hospital by car and walked in unaided. The source added that the illness was not Covid-19 related.Prince Philip and Queen Elizabeth have both received at least one dose of a Covid-19 vaccine.The couple spent most of the past year at Windsor Castle, having moved away from Buckingham Palace during the first wave of the Covid-19 pandemic in spring 2020. CNN's Katharina Krebs contributed to this report.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Prince Philip\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The husband of Queen Elizabeth II, currently being treated for an infection at King Edward VII's Hospital.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Queen Elizabeth II\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The wife of Prince Philip, who has received at least one dose of a Covid-19 vaccine.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"King Edward VII's Hospital\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The hospital where Prince Philip is receiving treatment for an infection.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Buckingham Palace\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The official residence of the British monarch, where updates on Prince Philip's condition are provided.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Prince William\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The grandson of Prince Philip, who visited a vaccination center in Norfolk and provided an update on his grandfather's condition.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Prince Edward\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The youngest son of Prince Philip, who provided an update on his father's condition to the UK's Sky News.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Covid-19\",\n",
      "\n",
      "\"entity_type\": \"DISEASE\",\n",
      "\n",
      "\"description\": \"The disease that both Prince Philip and Queen Elizabeth II have received vaccines for.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Windsor Castle\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The residence where Prince Philip and Queen Elizabeth II spent most of the past year during the Covid-19 pandemic.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince Philip\",\n",
      "\n",
      "\"tgt_id\": \"Queen Elizabeth II\",\n",
      "\n",
      "\"description\": \"Prince Philip is the husband of Queen Elizabeth II.\",\n",
      "\n",
      "\"weight\": 1.0,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince Philip\",\n",
      "\n",
      "\"tgt_id\": \"King Edward VII's Hospital\",\n",
      "\n",
      "\"description\": \"Prince Philip is being treated for an infection at King Edward VII's Hospital.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince Philip\",\n",
      "\n",
      "\"tgt_id\": \"Covid-19\",\n",
      "\n",
      "\"description\": \"Prince Philip has received at least one dose of a Covid-19 vaccine.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Queen Elizabeth II\",\n",
      "\n",
      "\"tgt_id\": \"Covid-19\",\n",
      "\n",
      "\"description\": \"Queen Elizabeth II has received at least one dose of a Covid-19 vaccine.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince William\",\n",
      "\n",
      "\"tgt_id\": \"Prince Philip\",\n",
      "\n",
      "\"description\": \"Prince William is the grandson of Prince Philip and provided an update on his condition.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 2\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince Edward\",\n",
      "\n",
      "\"tgt_id\": \"Prince Philip\",\n",
      "\n",
      "\"description\": \"Prince Edward is the youngest son of Prince Philip and provided an update on his condition.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 2\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to extract entities and relationships from a given text based on specified entity types. It uses a language model to perform this task, ensuring that the output adheres to strict type annotations and JSON schemas. The program follows a structured approach: it first identifies entities in the text according to the provided entity types, then determines the relationships between these entities based on their interactions and dependencies within the context of the text, and finally formats the entities and relationships according to a predefined JSON schema. The program includes error handling and retry mechanisms to ensure the output meets the required specifications.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S):\n",
      "Input Text: London (CNN)Prince Philip, the husband of Queen Elizabeth II, is being treated for an infection and is not expected to leave the hospital for several days, according to an update from Buckingham Palace on Tuesday.\"The Duke of Edinburgh remains at King Edward VII's Hospital where he is receiving medical attention for an infection. He is comfortable and responding to treatment but is not expected to leave hospital for several days,\" the palace said in a statement.Prince Philip was taken to the hospital last Tuesday after \"feeling unwell,\" Buckingham Palace said.On Monday, his grandson, Prince William, said the 99-year-old was doing \"OK\" and hospital staff were \"keeping an eye on him.\"Queen Elizabeth and Duke of Edinburgh receive Covid-19 vaccinePrince William made the remarks during a visit to a vaccination center in Norfolk, England, on Monday.Read MoreOn Tuesday, Prince Philip's youngest son, Prince Edward, told the UK's Sky News that he recently spoke to his father, who is doing \"a lot better\" and is looking forward to returning home.Prince Edward said the family was still keeping their \"fingers crossed\" for his father.\"We've had some brilliant and lovely messages from all sorts of people. And we really appreciate that and so does he. I've been passing them on,\" said Prince Edward.Prince Philip, who turns 100 in June, stepped back from public life in 2017 and has been taken to the hospital several times in recent years. In December 2019, he received hospital treatment for a pre-existing condition.His latest admission was not an emergency, according to a royal source, who said he traveled to King Edward VII Hospital by car and walked in unaided. The source added that the illness was not Covid-19 related.Prince Philip and Queen Elizabeth have both received at least one dose of a Covid-19 vaccine.The couple spent most of the past year at Windsor Castle, having moved away from Buckingham Palace during the first wave of the Covid-19 pandemic in spring 2020. CNN's Katharina Krebs contributed to this report.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Prince Philip\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The husband of Queen Elizabeth II, currently being treated for an infection at King Edward VII's Hospital.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Queen Elizabeth II\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The wife of Prince Philip, who has received at least one dose of a Covid-19 vaccine.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"King Edward VII's Hospital\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The hospital where Prince Philip is receiving treatment for an infection.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Buckingham Palace\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The official residence of the British monarch, where updates on Prince Philip's condition are provided.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Prince William\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The grandson of Prince Philip, who visited a vaccination center in Norfolk and provided an update on his grandfather's condition.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Prince Edward\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The youngest son of Prince Philip, who provided an update on his father's condition to the UK's Sky News.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Covid-19\",\n",
      "\n",
      "\"entity_type\": \"DISEASE\",\n",
      "\n",
      "\"description\": \"The disease that both Prince Philip and Queen Elizabeth II have received vaccines for.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Windsor Castle\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The residence where Prince Philip and Queen Elizabeth II spent most of the past year during the Covid-19 pandemic.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince Philip\",\n",
      "\n",
      "\"tgt_id\": \"Queen Elizabeth II\",\n",
      "\n",
      "\"description\": \"Prince Philip is the husband of Queen Elizabeth II.\",\n",
      "\n",
      "\"weight\": 1.0,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince Philip\",\n",
      "\n",
      "\"tgt_id\": \"King Edward VII's Hospital\",\n",
      "\n",
      "\"description\": \"Prince Philip is being treated for an infection at King Edward VII's Hospital.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince Philip\",\n",
      "\n",
      "\"tgt_id\": \"Covid-19\",\n",
      "\n",
      "\"description\": \"Prince Philip has received at least one dose of a Covid-19 vaccine.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Queen Elizabeth II\",\n",
      "\n",
      "\"tgt_id\": \"Covid-19\",\n",
      "\n",
      "\"description\": \"Queen Elizabeth II has received at least one dose of a Covid-19 vaccine.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince William\",\n",
      "\n",
      "\"tgt_id\": \"Prince Philip\",\n",
      "\n",
      "\"description\": \"Prince William is the grandson of Prince Philip and provided an update on his condition.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 2\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Prince Edward\",\n",
      "\n",
      "\"tgt_id\": \"Prince Philip\",\n",
      "\n",
      "\"description\": \"Prince Edward is the youngest son of Prince Philip and provided an update on his condition.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 2\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and `entity_types`, perform the following steps to produce the `entities_relationships`: 1) Identify all entities within the `input_text` that match the specified `entity_types`. 2) For each identified entity, provide a detailed description and an importance score based on its relevance to the text. 3) Determine the relationships between the identified entities, considering their interactions and dependencies within the context of the `input_text`. 4) For each relationship, provide a description, a weight indicating the strength of the relationship, and an order indicating the sequence of interactions. 5) Format the entities and relationships according to the specified JSON schema, ensuring all fields adhere to the required types and structures.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and `entity_types`, perform the following steps to produce the `entities_relationships`: 1) Identify all entities within the `input_text` that match the specified `entity_types`. 2) For each identified entity, provide a detailed description and an importance score based on its relevance to the text. 3) Determine the relationships between the identified entities, considering their interactions and dependencies within the context of the `input_text`. 4) For each relationship, provide a description, a weight indicating the strength of the relationship, and an order indicating the sequence of interactions. 5) Format the entities and relationships according to the specified JSON schema, ensuring all fields adhere to the required types and structures.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to solve the task of entity and relationship extraction from text. It works by first defining a signature that specifies the input fields (input_text and entity_types) and the output fields (reasoning and entities_relationships). The program then uses a TypedPredictor class to enforce type annotations in the signature and handle retries and error explanations if the output is invalid. The TypedEntityRelationshipExtractor class further processes the input text to extract entities and relationships, ensuring that the output is formatted according to the specified JSON schema. The program handles retries and errors by providing detailed explanations and examples to guide the language model in producing the correct output format.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos Input Text:  (CNN)This weekend either Lewis Hamilton or Max Verstappen will be crowned the Formula One world champion. Either way, the sport won big in 2021. This year's success starts with a boom in the sport's fanbase that can be pinned to Netflix's \"Drive to Survive\" docuseries. The show is a crash course on the 10 teams, the 20 drivers, the rivalries between them and the race competition structure. A word-of-mouth campaign for the series along with short, easy viewing episodes made it a perfect pandemic-time binge watch for millions around the world.The series' intimate interviews combined with the best action from races and the high level drama is a strong pitch for the real-life spectacle of Formula One.The multifaceted storytelling lets fans focus on the aspects of the sport that most appeal to them. And most importantly, \"Drive to Survive\" primed fans for an easy transition to the track when the 2021 season started.Read MoreThe popularity of the Netflix program, notably in the US, has paid dividends. ESPN says its race viewership in 2021 is up 56% over 2020. There was record attendance at the US Grand Prix in Austin this October -- drivers also credit the docuseries for the sport's growth, including Hamilton himself. READ: Title rivals wary of being on collision course in Abu Dhabi showdownMax Verstappen and Lewis Hamilton have created a thrilling title race. Title race enthralls New fans are important but getting them to stick with the sport is critical. This year's constant action on the track anchored by the Hamilton-Verstappen title fight has satisfied the second part of that equation. Eyes across the globe will be on all 58 laps in Abu Dhabi on Sunday, the final race to determine who takes home the title. Up until the last lap, every second of the season has been and will be a nail biter.All the variables that brought the two drivers to tally the same exact score heading into the finale is what kept fans' attention throughout the season. Think Verstappen's car perched on top of Hamilton's after the crash in Monza or the smoke rising forebodingly from Hamilton's brakes seconds before the restart in Baku. Verstappen's car ended up on top of Hamilton's at the Italian Grand Prix in September.The best racing is when the two are at it, wheel-to-wheel, like they were through the opening laps of the British Grand Prix.Sprint Qualifying, a format introduced to three weekends this season was seen across the community as a controversial addition to the sport. Despite that, it provided something new for fans who welcomed the extra racing.F1 still has improvements to make on several fronts that would make the sport and viewing experience more inclusive.There is still an obvious need for greater diversity behind the wheel and in the institution itself. The league's first full-time driver from China, Guanyu Zhou, will be a much-welcomed addition to the track when he makes his debut next season. However, it is hard to ignore just how White and male dominated the sport is.JUST WATCHEDValtteri Bottas: F1 title race will go down to the wireReplayMore Videos ...MUST WATCHValtteri Bottas: F1 title race will go down to the wire 04:17The FIA, the governing body of the sport, also has some work to do to make rules more transparent and easier to follow. Commentators do their best to make sense of the calls being made by the stewards, but sometimes, even they are left scratching their heads -- driver and team penalties often seem totally arbitrary or ill-explained.Fan accessibility will remain a challenge. Part of that is built-in because F1 is a global sport with just over 20 events a year. Those constraints make attending a race weekend expensive. For American fans eager to make it to a race, there is some good news: a race in Miami next season means two races in the US for the first time since 1984.After the exciting culmination of this season comes the anticipation for the next, with new car designs and some changes in the driver lineup. Season four of \"Drive to Survive\" is imminent too. All of that adds up to a feeling that there is so much more to come from the sport. \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the given entity types. We then determine the relationships between these entities, considering the context and interactions described in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Lewis Hamilton\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Formula One driver who is competing for the world championship.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Max Verstappen\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Formula One driver who is competing for the world championship.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Formula One\",\n",
      "\n",
      "\"entity_type\": \"SPORT\",\n",
      "\n",
      "\"description\": \"A motorsport that is the focus of the article, featuring drivers like Lewis Hamilton and Max Verstappen.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Netflix\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A streaming service that produced the 'Drive to Survive' docuseries, which has boosted the popularity of Formula One.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Drive to Survive\",\n",
      "\n",
      "\"entity_type\": \"TV_SHOW\",\n",
      "\n",
      "\"description\": \"A docuseries on Netflix that has increased the fanbase of Formula One.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"ESPN\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A sports network that reported a 56% increase in race viewership in 2021.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"US Grand Prix\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A Formula One race event held in Austin, Texas, with record attendance in October.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Abu Dhabi\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The location of the final race in the Formula One season, which will determine the world champion.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Guanyu Zhou\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Formula One driver from China who will make his debut next season.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"FIA\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The governing body of Formula One, which needs to improve transparency in its rules.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Lewis Hamilton\",\n",
      "\n",
      "\"tgt_id\": \"Max Verstappen\",\n",
      "\n",
      "\"description\": \"Competing against each other for the Formula One world championship.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Drive to Survive\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"A TV show that has increased the popularity of Formula One.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Netflix\",\n",
      "\n",
      "\"tgt_id\": \"Drive to Survive\",\n",
      "\n",
      "\"description\": \"A streaming service that produced the 'Drive to Survive' docuseries.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"ESPN\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"A sports network that reported increased viewership of Formula One races.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"US Grand Prix\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"A Formula One race event with record attendance.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Abu Dhabi\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"The location of the final race in the Formula One season.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Guanyu Zhou\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"A new driver who will join Formula One next season.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"FIA\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"The governing body of Formula One that needs to improve its rules' transparency.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)In a five word tweet, Andy Murray made clear he had no sympathy for a fellow tennis player who had just been banned from tennis for doping.Follow @cnnsport\n",
      "\n",
      "After 29-year-old American Wayne Odesnik was handed a 15-year ban after testing positive for a range of performance enhancing drugs including anabolic steroids, the 2013 Wimbledon champion Murray tweeted: \"Bye bye Wayne... Good riddance.\"Bye bye Wayne... Good riddance— Andy Murray (@andy_murray) March 18, 2015\n",
      "This isn't the first time Odesnik has been caught cheating -- he was initially given a two-year ban in 2010 when Australian customs officials discovered eight vials of human growth hormone in his luggage. As this is his second offense the International Tennis Federation increased his punishment to 15 years with Odesnik, who is ranked 267 in the world, subsequently announcing his retirement.Odesnik, who has made over $1m in prize money over his career, says the positive test results weren't his fault.Read MoreJUST WATCHEDThe power of tennis statisticsReplayMore Videos ...MUST WATCHThe power of tennis statistics 03:46\"In December 2014, I unknowingly ingested a contaminated over-the-counter supplement,\" Odesnik said in a statement.\"Upon learning of my positive test results I was immediately heartbroken as words could not describe my shock and disappointment,\" added the former world No. 77.\"Being the most tested American player on tour, I would never knowingly have taken any chance of consuming a banned substance.\"Fellow American tennis player Andy Roddick was also in no mood to forgive Odesnik, tweeting: \"I hate that he has a U.S. flag next to his name when he's cheating. Good riddance.\"According to the United States Anti-Doping Agency (USADA), Odesnik provided out-of-competition urine samples in December 2014 and January 2015 which tested positive.\"[It] was his second such violation, having been sanctioned in 2010 for the possession of human growth hormone. It was, therefore, determined that he is suspended from participation for a period of 15 years\" USADA said in a statement.\"It was also determined that Mr Odesnik's results at the Happy Valley Challenger event, Australian Open and Maui Challenger event should be disqualified, with forfeiture of the ranking points and prize money.\"Odesnik was born in Johannesburg but moved to the U.S. when he was three, before turning pro in 2004. Read: Thatch point! Roger Federer ribs Andy Murray's hairstyle on TwitterRead: The tournament that 'disgraced America'\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Andy Murray\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player and the 2013 Wimbledon champion.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Wayne Odesnik\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A 29-year-old American tennis player who was banned for 15 years for doping.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"International Tennis Federation\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The governing body that increased Odesnik's punishment to 15 years.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"United States Anti-Doping Agency\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The agency that tested Odesnik's samples and confirmed his second doping violation.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Wimbledon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A prestigious tennis tournament where Murray won in 2013.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Andy Murray\",\n",
      "\n",
      "\"tgt_id\": \"Wayne Odesnik\",\n",
      "\n",
      "\"description\": \"Andy Murray expressed no sympathy for Wayne Odesnik after his doping ban.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Wayne Odesnik\",\n",
      "\n",
      "\"tgt_id\": \"International Tennis Federation\",\n",
      "\n",
      "\"description\": \"Wayne Odesnik was banned for 15 years by the International Tennis Federation.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Wayne Odesnik\",\n",
      "\n",
      "\"tgt_id\": \"United States Anti-Doping Agency\",\n",
      "\n",
      "\"description\": \"Wayne Odesnik's doping violation was confirmed by the United States Anti-Doping Agency.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text: Zurich Switzerland has chosen Lockheed Martin's F-35A Lightning II as its next-generation fighter jet, the government said on Wednesday, angering opponents who have pledged a new referendum to overturn what they dubbed an unnecessary \"Ferrari\" option.The $5.5 billion deal adds a 15th nation to the world's largest weapons project -- a family of interconnected, single-engine jets to be used by the United States and its allies and partners.It came alongside a $2.1 billion agreement to buy the Patriot surface-to-air missile system from US group Raytheon, with European competitors losing out on both deals.The F-35 has faced multiple budget overruns, delays and technical setbacks, but is building export momentum. Critics say the project, valued at trillions of dollars over its lifetime, has seen costs soar while failing to meet goals on capability.Neutral Switzerland will buy 36 F-35As after an evaluation found it had \"the highest overall benefit at the lowest overall cost,\" the government said.Read MoreBiden admin intends to move forward with $23B UAE weapons salesThe aircraft beat bids from Boeing's F/A-18 Super Hornet, the Rafale from France's Dassault and the four-nation Eurofighter built by Germany- and Spain-backed Airbus, Italy's Leonardo and Britain's BAE Systems.The decision drew immediate criticism from anti-armaments campaigners and left-wing parties who will now launch a campaign for a referendum on the issue, the third Swiss vote on buying fighter jets.Voters seven years ago rejected the purchase of Gripen jets from Sweden's Saab, while the 6 billion Swiss franc ($6.5 billion) funding, which led to the decision to buy the F-35As, was only narrowly approved last year.Opponents say Switzerland doesn't need cutting-edge warplanes to defend its Alpine territory, which a supersonic jet can cross in 10 minutes.US warplanes fly first combat missions off foreign aircraft carrier since World War II\"The decision is simply incomprehensible,\" said Priska Seiler Graf, a member of Parliament for the left-leaning Social Democrats (SP), who has raised concerns about the cost.\"It's not just about buying them, but the upkeep and operating costs,\" she added. \"We should seek a European solution ... we don't want to be dependent on the United States.\"The government picked the Patriot missile system over Franco-Italian group Eurosam.Defense Minister Viola Amherd said the F-35As were chosen after being the most impressive performer in an evaluation and offered best value for money.Total costs of 15.5 billion francs ($16.7 billion) came in 2 billion francs cheaper than the next lowest bidder, the government said, based on buying and operating the aircraft over 30 years.\"We would not have bought a Ferrari if a VW would do and the Ferrari would be three times more expensive,\" Amherd told a news conference.The Swiss Parliament now has to approve the funding for the purchase, with the debate scheduled for early next year. It can debate costs and terms but not revisit the model selection.Dozens of US Air Force F-35 fighters taxi on the runway in preparation for a combat power exercise on Nov. 19, 2018, at Hill Air Force Base, Utah. The fighter decision was closely watched as the first of three face-offs ahead of Finland and Canada.Lockheed's stealthy fifth-generation fighter recently added Poland to its list of European customers which includes Belgium, Denmark, Italy, the Netherlands, Norway, and Britain.US President Joe Biden had lobbied for American companies when meeting his Swiss counterpart while in Geneva for his summit with Russian President Vladimir Putin this month.JUST WATCHEDWatch US F-35 jet fighters arrive in Europe (2017)ReplayMore Videos ...MUST WATCHWatch US F-35 jet fighters arrive in Europe (2017) 00:55Analysts said the decision to snub both the European fighter jet candidates and surface-to-air missile offering could be seen as a Swiss rebuff to the European Union in a time of strained relations between Bern and Brussels after the collapse of talks over a new agreement governing trade and other matters.By doubling down on US suppliers the government could antagonize the 49.8% of voters who opposed funding last year.South Korea rolls out the KF-21, joining elite group of global supersonic fighter jet makersAnti-arms campaigners say Switzerland, which last fought a foreign war more than 200 years ago and has no discernable enemies, does not need cutting-edge fighters.But supporters have said Switzerland needs to be able to protect itself without relying on others.Jonas Kampus, political secretary of the Group for a Switzerland without an Army, said he was confident of winning a referendum against the F-35As.The government \"can expect a heavy defeat in the vote. The follow-up polls in September (2020) showed a clear rejection of the F-35 among the voting population,\" he said.Marionna Schlatter, a lawmaker with the Greens Party said the September poll was too close to ignore opposition concerns.\"The people don't want a Ferrari in the air,\" she said.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies described in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Zurich Switzerland\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A city and country where the decision to buy F-35A Lightning II was made.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Lockheed Martin\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A company that manufactures the F-35A Lightning II.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"F-35A Lightning II\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A next-generation fighter jet chosen by Zurich Switzerland.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Patriot surface-to-air missile system\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A missile system bought alongside the F-35A Lightning II.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Raytheon\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A US group that manufactures the Patriot missile system.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Boeing\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A company that manufactures the F/A-18 Super Hornet.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"F/A-18 Super Hornet\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A fighter jet bid by Boeing.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Dassault\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A French company that manufactures the Rafale.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Rafale\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A fighter jet bid by Dassault.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Eurofighter\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A fighter jet built by Germany- and Spain-backed Airbus, Italy's Leonardo, and Britain's BAE Systems.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Airbus\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A company that is part of the consortium building the Eurofighter.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Leonardo\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"An Italian company that is part of the consortium building the Eurofighter.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"BAE Systems\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A British company that is part of the consortium building the Eurofighter.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Swiss Parliament\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The legislative body of Switzerland that will approve the funding for the F-35A purchase.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Priska Seiler Graf\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A member of Parliament for the left-leaning Social Democrats who raised concerns about the cost of the F-35A.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Viola Amherd\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The Defense Minister of Switzerland who justified the choice of the F-35A.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Joe Biden\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The President of the United States who lobbied for American companies.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Vladimir Putin\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The President of Russia with whom Joe Biden had a summit.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Jonas Kampus\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The political secretary of the Group for a Switzerland without an Army who is confident of winning a referendum against the F-35A.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Marionna Schlatter\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A lawmaker with the Greens Party who expressed opposition to the F-35A.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"F-35A Lightning II\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland has chosen the F-35A Lightning II as its next-generation fighter jet.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Patriot surface-to-air missile system\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland has agreed to buy the Patriot surface-to-air missile system.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"F-35A Lightning II\",\n",
      "\n",
      "\"tgt_id\": \"Lockheed Martin\",\n",
      "\n",
      "\"description\": \"The F-35A Lightning II is manufactured by Lockheed Martin.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Patriot surface-to-air missile system\",\n",
      "\n",
      "\"tgt_id\": \"Raytheon\",\n",
      "\n",
      "\"description\": \"The Patriot surface-to-air missile system is manufactured by Raytheon.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Boeing\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland considered the F/A-18 Super Hornet bid by Boeing.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Dassault\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland considered the Rafale bid by Dassault.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Eurofighter\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland considered the Eurofighter bid by Airbus, Leonardo, and BAE Systems.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Swiss Parliament\",\n",
      "\n",
      "\"description\": \"The Swiss Parliament will approve the funding for the F-35A purchase.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Priska Seiler Graf\",\n",
      "\n",
      "\"description\": \"Priska Seiler Graf, a member of Parliament, raised concerns about the cost of the F-35A.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Viola Amherd\",\n",
      "\n",
      "\"description\": \"Viola Amherd, the Defense Minister, justified the choice of the F-35A.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Joe Biden\",\n",
      "\n",
      "\"description\": \"Joe Biden lobbied for American companies during his meeting with the Swiss counterpart.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Vladimir Putin\",\n",
      "\n",
      "\"description\": \"Joe Biden met with Vladimir Putin during his summit in Geneva.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Jonas Kampus\",\n",
      "\n",
      "\"description\": \"Jonas Kampus is confident of winning a referendum against the F-35A.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Marionna Schlatter\",\n",
      "\n",
      "\"description\": \"Marionna Schlatter expressed opposition to the F-35A.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of entity and relationship extraction from text. It works by first defining a signature that specifies the input fields (input_text and entity_types) and the output fields (reasoning and entities_relationships). The program then uses a TypedPredictor class to enforce type annotations in the signature and handle retries and error explanations if the output is invalid. The TypedEntityRelationshipExtractor class further processes the input text to extract entities and relationships, ensuring that the output is formatted according to the specified JSON schema. The program handles retries and errors by providing detailed explanations and examples to guide the language model in producing the correct output format.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S):\n",
      "Input Text:  (CNN)This weekend either Lewis Hamilton or Max Verstappen will be crowned the Formula One world champion. Either way, the sport won big in 2021. This year's success starts with a boom in the sport's fanbase that can be pinned to Netflix's \"Drive to Survive\" docuseries. The show is a crash course on the 10 teams, the 20 drivers, the rivalries between them and the race competition structure. A word-of-mouth campaign for the series along with short, easy viewing episodes made it a perfect pandemic-time binge watch for millions around the world.The series' intimate interviews combined with the best action from races and the high level drama is a strong pitch for the real-life spectacle of Formula One.The multifaceted storytelling lets fans focus on the aspects of the sport that most appeal to them. And most importantly, \"Drive to Survive\" primed fans for an easy transition to the track when the 2021 season started.Read MoreThe popularity of the Netflix program, notably in the US, has paid dividends. ESPN says its race viewership in 2021 is up 56% over 2020. There was record attendance at the US Grand Prix in Austin this October -- drivers also credit the docuseries for the sport's growth, including Hamilton himself. READ: Title rivals wary of being on collision course in Abu Dhabi showdownMax Verstappen and Lewis Hamilton have created a thrilling title race. Title race enthralls New fans are important but getting them to stick with the sport is critical. This year's constant action on the track anchored by the Hamilton-Verstappen title fight has satisfied the second part of that equation. Eyes across the globe will be on all 58 laps in Abu Dhabi on Sunday, the final race to determine who takes home the title. Up until the last lap, every second of the season has been and will be a nail biter.All the variables that brought the two drivers to tally the same exact score heading into the finale is what kept fans' attention throughout the season. Think Verstappen's car perched on top of Hamilton's after the crash in Monza or the smoke rising forebodingly from Hamilton's brakes seconds before the restart in Baku. Verstappen's car ended up on top of Hamilton's at the Italian Grand Prix in September.The best racing is when the two are at it, wheel-to-wheel, like they were through the opening laps of the British Grand Prix.Sprint Qualifying, a format introduced to three weekends this season was seen across the community as a controversial addition to the sport. Despite that, it provided something new for fans who welcomed the extra racing.F1 still has improvements to make on several fronts that would make the sport and viewing experience more inclusive.There is still an obvious need for greater diversity behind the wheel and in the institution itself. The league's first full-time driver from China, Guanyu Zhou, will be a much-welcomed addition to the track when he makes his debut next season. However, it is hard to ignore just how White and male dominated the sport is.JUST WATCHEDValtteri Bottas: F1 title race will go down to the wireReplayMore Videos ...MUST WATCHValtteri Bottas: F1 title race will go down to the wire 04:17The FIA, the governing body of the sport, also has some work to do to make rules more transparent and easier to follow. Commentators do their best to make sense of the calls being made by the stewards, but sometimes, even they are left scratching their heads -- driver and team penalties often seem totally arbitrary or ill-explained.Fan accessibility will remain a challenge. Part of that is built-in because F1 is a global sport with just over 20 events a year. Those constraints make attending a race weekend expensive. For American fans eager to make it to a race, there is some good news: a race in Miami next season means two races in the US for the first time since 1984.After the exciting culmination of this season comes the anticipation for the next, with new car designs and some changes in the driver lineup. Season four of \"Drive to Survive\" is imminent too. All of that adds up to a feeling that there is so much more to come from the sport. \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the given entity types. We then determine the relationships between these entities, considering the context and interactions described in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Lewis Hamilton\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Formula One driver who is competing for the world championship.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Max Verstappen\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Formula One driver who is competing for the world championship.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Formula One\",\n",
      "\n",
      "\"entity_type\": \"SPORT\",\n",
      "\n",
      "\"description\": \"A motorsport that is the focus of the article, featuring drivers like Lewis Hamilton and Max Verstappen.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Netflix\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A streaming service that produced the 'Drive to Survive' docuseries, which has boosted the popularity of Formula One.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Drive to Survive\",\n",
      "\n",
      "\"entity_type\": \"TV_SHOW\",\n",
      "\n",
      "\"description\": \"A docuseries on Netflix that has increased the fanbase of Formula One.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"ESPN\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A sports network that reported a 56% increase in race viewership in 2021.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"US Grand Prix\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A Formula One race event held in Austin, Texas, with record attendance in October.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Abu Dhabi\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The location of the final race in the Formula One season, which will determine the world champion.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Guanyu Zhou\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A Formula One driver from China who will make his debut next season.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"FIA\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The governing body of Formula One, which needs to improve transparency in its rules.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Lewis Hamilton\",\n",
      "\n",
      "\"tgt_id\": \"Max Verstappen\",\n",
      "\n",
      "\"description\": \"Competing against each other for the Formula One world championship.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Drive to Survive\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"A TV show that has increased the popularity of Formula One.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Netflix\",\n",
      "\n",
      "\"tgt_id\": \"Drive to Survive\",\n",
      "\n",
      "\"description\": \"A streaming service that produced the 'Drive to Survive' docuseries.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"ESPN\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"A sports network that reported increased viewership of Formula One races.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"US Grand Prix\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"A Formula One race event with record attendance.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Abu Dhabi\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"The location of the final race in the Formula One season.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Guanyu Zhou\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"A new driver who will join Formula One next season.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"FIA\",\n",
      "\n",
      "\"tgt_id\": \"Formula One\",\n",
      "\n",
      "\"description\": \"The governing body of Formula One that needs to improve its rules' transparency.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)In a five word tweet, Andy Murray made clear he had no sympathy for a fellow tennis player who had just been banned from tennis for doping.Follow @cnnsport\n",
      "\n",
      "After 29-year-old American Wayne Odesnik was handed a 15-year ban after testing positive for a range of performance enhancing drugs including anabolic steroids, the 2013 Wimbledon champion Murray tweeted: \"Bye bye Wayne... Good riddance.\"Bye bye Wayne... Good riddance— Andy Murray (@andy_murray) March 18, 2015\n",
      "This isn't the first time Odesnik has been caught cheating -- he was initially given a two-year ban in 2010 when Australian customs officials discovered eight vials of human growth hormone in his luggage. As this is his second offense the International Tennis Federation increased his punishment to 15 years with Odesnik, who is ranked 267 in the world, subsequently announcing his retirement.Odesnik, who has made over $1m in prize money over his career, says the positive test results weren't his fault.Read MoreJUST WATCHEDThe power of tennis statisticsReplayMore Videos ...MUST WATCHThe power of tennis statistics 03:46\"In December 2014, I unknowingly ingested a contaminated over-the-counter supplement,\" Odesnik said in a statement.\"Upon learning of my positive test results I was immediately heartbroken as words could not describe my shock and disappointment,\" added the former world No. 77.\"Being the most tested American player on tour, I would never knowingly have taken any chance of consuming a banned substance.\"Fellow American tennis player Andy Roddick was also in no mood to forgive Odesnik, tweeting: \"I hate that he has a U.S. flag next to his name when he's cheating. Good riddance.\"According to the United States Anti-Doping Agency (USADA), Odesnik provided out-of-competition urine samples in December 2014 and January 2015 which tested positive.\"[It] was his second such violation, having been sanctioned in 2010 for the possession of human growth hormone. It was, therefore, determined that he is suspended from participation for a period of 15 years\" USADA said in a statement.\"It was also determined that Mr Odesnik's results at the Happy Valley Challenger event, Australian Open and Maui Challenger event should be disqualified, with forfeiture of the ranking points and prize money.\"Odesnik was born in Johannesburg but moved to the U.S. when he was three, before turning pro in 2004. Read: Thatch point! Roger Federer ribs Andy Murray's hairstyle on TwitterRead: The tournament that 'disgraced America'\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Andy Murray\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professional tennis player and the 2013 Wimbledon champion.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Wayne Odesnik\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A 29-year-old American tennis player who was banned for 15 years for doping.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"International Tennis Federation\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The governing body that increased Odesnik's punishment to 15 years.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"United States Anti-Doping Agency\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The agency that tested Odesnik's samples and confirmed his second doping violation.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Wimbledon\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"A prestigious tennis tournament where Murray won in 2013.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Andy Murray\",\n",
      "\n",
      "\"tgt_id\": \"Wayne Odesnik\",\n",
      "\n",
      "\"description\": \"Andy Murray expressed no sympathy for Wayne Odesnik after his doping ban.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Wayne Odesnik\",\n",
      "\n",
      "\"tgt_id\": \"International Tennis Federation\",\n",
      "\n",
      "\"description\": \"Wayne Odesnik was banned for 15 years by the International Tennis Federation.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Wayne Odesnik\",\n",
      "\n",
      "\"tgt_id\": \"United States Anti-Doping Agency\",\n",
      "\n",
      "\"description\": \"Wayne Odesnik's doping violation was confirmed by the United States Anti-Doping Agency.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text: Zurich Switzerland has chosen Lockheed Martin's F-35A Lightning II as its next-generation fighter jet, the government said on Wednesday, angering opponents who have pledged a new referendum to overturn what they dubbed an unnecessary \"Ferrari\" option.The $5.5 billion deal adds a 15th nation to the world's largest weapons project -- a family of interconnected, single-engine jets to be used by the United States and its allies and partners.It came alongside a $2.1 billion agreement to buy the Patriot surface-to-air missile system from US group Raytheon, with European competitors losing out on both deals.The F-35 has faced multiple budget overruns, delays and technical setbacks, but is building export momentum. Critics say the project, valued at trillions of dollars over its lifetime, has seen costs soar while failing to meet goals on capability.Neutral Switzerland will buy 36 F-35As after an evaluation found it had \"the highest overall benefit at the lowest overall cost,\" the government said.Read MoreBiden admin intends to move forward with $23B UAE weapons salesThe aircraft beat bids from Boeing's F/A-18 Super Hornet, the Rafale from France's Dassault and the four-nation Eurofighter built by Germany- and Spain-backed Airbus, Italy's Leonardo and Britain's BAE Systems.The decision drew immediate criticism from anti-armaments campaigners and left-wing parties who will now launch a campaign for a referendum on the issue, the third Swiss vote on buying fighter jets.Voters seven years ago rejected the purchase of Gripen jets from Sweden's Saab, while the 6 billion Swiss franc ($6.5 billion) funding, which led to the decision to buy the F-35As, was only narrowly approved last year.Opponents say Switzerland doesn't need cutting-edge warplanes to defend its Alpine territory, which a supersonic jet can cross in 10 minutes.US warplanes fly first combat missions off foreign aircraft carrier since World War II\"The decision is simply incomprehensible,\" said Priska Seiler Graf, a member of Parliament for the left-leaning Social Democrats (SP), who has raised concerns about the cost.\"It's not just about buying them, but the upkeep and operating costs,\" she added. \"We should seek a European solution ... we don't want to be dependent on the United States.\"The government picked the Patriot missile system over Franco-Italian group Eurosam.Defense Minister Viola Amherd said the F-35As were chosen after being the most impressive performer in an evaluation and offered best value for money.Total costs of 15.5 billion francs ($16.7 billion) came in 2 billion francs cheaper than the next lowest bidder, the government said, based on buying and operating the aircraft over 30 years.\"We would not have bought a Ferrari if a VW would do and the Ferrari would be three times more expensive,\" Amherd told a news conference.The Swiss Parliament now has to approve the funding for the purchase, with the debate scheduled for early next year. It can debate costs and terms but not revisit the model selection.Dozens of US Air Force F-35 fighters taxi on the runway in preparation for a combat power exercise on Nov. 19, 2018, at Hill Air Force Base, Utah. The fighter decision was closely watched as the first of three face-offs ahead of Finland and Canada.Lockheed's stealthy fifth-generation fighter recently added Poland to its list of European customers which includes Belgium, Denmark, Italy, the Netherlands, Norway, and Britain.US President Joe Biden had lobbied for American companies when meeting his Swiss counterpart while in Geneva for his summit with Russian President Vladimir Putin this month.JUST WATCHEDWatch US F-35 jet fighters arrive in Europe (2017)ReplayMore Videos ...MUST WATCHWatch US F-35 jet fighters arrive in Europe (2017) 00:55Analysts said the decision to snub both the European fighter jet candidates and surface-to-air missile offering could be seen as a Swiss rebuff to the European Union in a time of strained relations between Bern and Brussels after the collapse of talks over a new agreement governing trade and other matters.By doubling down on US suppliers the government could antagonize the 49.8% of voters who opposed funding last year.South Korea rolls out the KF-21, joining elite group of global supersonic fighter jet makersAnti-arms campaigners say Switzerland, which last fought a foreign war more than 200 years ago and has no discernable enemies, does not need cutting-edge fighters.But supporters have said Switzerland needs to be able to protect itself without relying on others.Jonas Kampus, political secretary of the Group for a Switzerland without an Army, said he was confident of winning a referendum against the F-35As.The government \"can expect a heavy defeat in the vote. The follow-up polls in September (2020) showed a clear rejection of the F-35 among the voting population,\" he said.Marionna Schlatter, a lawmaker with the Greens Party said the September poll was too close to ignore opposition concerns.\"The people don't want a Ferrari in the air,\" she said.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies described in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Zurich Switzerland\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A city and country where the decision to buy F-35A Lightning II was made.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Lockheed Martin\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A company that manufactures the F-35A Lightning II.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"F-35A Lightning II\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A next-generation fighter jet chosen by Zurich Switzerland.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Patriot surface-to-air missile system\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A missile system bought alongside the F-35A Lightning II.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Raytheon\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A US group that manufactures the Patriot missile system.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Boeing\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A company that manufactures the F/A-18 Super Hornet.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"F/A-18 Super Hornet\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A fighter jet bid by Boeing.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Dassault\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A French company that manufactures the Rafale.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Rafale\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A fighter jet bid by Dassault.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Eurofighter\",\n",
      "\n",
      "\"entity_type\": \"PRODUCT\",\n",
      "\n",
      "\"description\": \"A fighter jet built by Germany- and Spain-backed Airbus, Italy's Leonardo, and Britain's BAE Systems.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Airbus\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A company that is part of the consortium building the Eurofighter.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Leonardo\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"An Italian company that is part of the consortium building the Eurofighter.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"BAE Systems\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A British company that is part of the consortium building the Eurofighter.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Swiss Parliament\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The legislative body of Switzerland that will approve the funding for the F-35A purchase.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Priska Seiler Graf\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A member of Parliament for the left-leaning Social Democrats who raised concerns about the cost of the F-35A.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Viola Amherd\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The Defense Minister of Switzerland who justified the choice of the F-35A.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Joe Biden\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The President of the United States who lobbied for American companies.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Vladimir Putin\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The President of Russia with whom Joe Biden had a summit.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Jonas Kampus\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The political secretary of the Group for a Switzerland without an Army who is confident of winning a referendum against the F-35A.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Marionna Schlatter\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A lawmaker with the Greens Party who expressed opposition to the F-35A.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"F-35A Lightning II\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland has chosen the F-35A Lightning II as its next-generation fighter jet.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Patriot surface-to-air missile system\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland has agreed to buy the Patriot surface-to-air missile system.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"F-35A Lightning II\",\n",
      "\n",
      "\"tgt_id\": \"Lockheed Martin\",\n",
      "\n",
      "\"description\": \"The F-35A Lightning II is manufactured by Lockheed Martin.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Patriot surface-to-air missile system\",\n",
      "\n",
      "\"tgt_id\": \"Raytheon\",\n",
      "\n",
      "\"description\": \"The Patriot surface-to-air missile system is manufactured by Raytheon.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Boeing\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland considered the F/A-18 Super Hornet bid by Boeing.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Dassault\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland considered the Rafale bid by Dassault.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Eurofighter\",\n",
      "\n",
      "\"description\": \"Zurich Switzerland considered the Eurofighter bid by Airbus, Leonardo, and BAE Systems.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Swiss Parliament\",\n",
      "\n",
      "\"description\": \"The Swiss Parliament will approve the funding for the F-35A purchase.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Priska Seiler Graf\",\n",
      "\n",
      "\"description\": \"Priska Seiler Graf, a member of Parliament, raised concerns about the cost of the F-35A.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Viola Amherd\",\n",
      "\n",
      "\"description\": \"Viola Amherd, the Defense Minister, justified the choice of the F-35A.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Joe Biden\",\n",
      "\n",
      "\"description\": \"Joe Biden lobbied for American companies during his meeting with the Swiss counterpart.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Vladimir Putin\",\n",
      "\n",
      "\"description\": \"Joe Biden met with Vladimir Putin during his summit in Geneva.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Jonas Kampus\",\n",
      "\n",
      "\"description\": \"Jonas Kampus is confident of winning a referendum against the F-35A.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Zurich Switzerland\",\n",
      "\n",
      "\"tgt_id\": \"Marionna Schlatter\",\n",
      "\n",
      "\"description\": \"Marionna Schlatter expressed opposition to the F-35A.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, meticulously identify and extract all entities present in the text that match the provided entity types. Subsequently, determine the relationships between these entities based on their interactions and the context provided. Ensure that the entities and relationships are formatted according to the specified JSON schema, including providing detailed descriptions and importance scores for each entity, as well as defining the source and target IDs, description, weight, and order for each relationship.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, meticulously identify and extract all entities present in the text that match the provided entity types. Subsequently, determine the relationships between these entities based on their interactions and the context provided. Ensure that the entities and relationships are formatted according to the specified JSON schema, including providing detailed descriptions and importance scores for each entity, as well as defining the source and target IDs, description, weight, and order for each relationship.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and relationships from text, specifically focusing on identifying entities based on predefined types and determining the relationships between these entities. It works by using a language model to process the input text and entity types, generating a step-by-step reasoning process to identify and relate the entities, and finally outputting the entities and their relationships in a structured JSON format. The program ensures type annotations are enforced and includes mechanisms for handling errors and retries to improve the accuracy of the output.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "task_demos Input Text:  (CNN)A ban on cellphones in classrooms was announced in the Australian state of Victoria on Wednesday. The ban, which will apply to primary and secondary students, is designed to crack down on cyber-bulling and classroom distractions, the Victorian government said in a statement. While some schools in Australia have already banned cell-phone use, this marks the first statewide ban in the country. It will begin from the first school term of 2020.\"Students will be required to switch off their phones and store them securely in lockers from the start of the school day until the final bell. When emergencies occur, parents or guardians can reach their child by calling the school,\" the statement said.Victoria Education Minister James Merlino said he didn't expect the move to be \"universally popular\" but said it was the \"right thing to do\" on his official social media. Read MoreA report says young people are growing horns on their skulls. Critics don't buy itThe move isn't without precedent. Australia's largest state, New South Wales, banned mobile phones in primary schools in 2018, and France has banned all smart phones and smart devices from schools.Australian Education Minister Dan Tehan said in a statement that he supported the Victoria ban.\"When I talk to parents and teachers the overwhelming majority want action on banning mobile phones in the classroom,\" Tehan said in a statement. In a 2019 survey of about 2,000 Australian adults, by Monash University professor Neil Selywn, almost 80% supported a restriction on cell-phone use in schools, while one-third supported an outright ban.Ann Marie, a secondary school principal at a college in Victoria, told ABC Radio Melbourne that pupils at her school had agreed to restrict their mobile phone use during the day, explaining that they hoped to reduce \"bullying, distraction and one-upmanship.\"But there have been some concerns. The Australian Education Union Victoria said in a statement that while it supports the ban: \"We can't lose sight of the benefits that technology, including mobile phones, can bring to high quality teaching and learning.\"Some pupils with special needs will be exempt from the ban, including those who require telephones to monitor health conditions or those who have received permission from a teacher.  \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering the context and descriptions provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Victoria\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The Australian state where the cellphone ban in classrooms was announced.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"James Merlino\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The Victoria Education Minister who announced the cellphone ban.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"New South Wales\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"Australia's largest state that previously banned mobile phones in primary schools.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"France\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A country that has banned all smart phones and smart devices from schools.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Dan Tehan\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The Australian Education Minister who supported the Victoria ban.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Monash University\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The university where a survey on cell-phone use in schools was conducted.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Neil Selwyn\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professor at Monash University who conducted the survey on cell-phone use in schools.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ann Marie\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A secondary school principal in Victoria who discussed the impact of the cellphone ban.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Australian Education Union Victoria\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"An organization that supports the cellphone ban but highlights the benefits of technology in education.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"James Merlino\",\n",
      "\n",
      "\"description\": \"James Merlino, the Victoria Education Minister, announced the cellphone ban in Victoria.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"New South Wales\",\n",
      "\n",
      "\"description\": \"The cellphone ban in Victoria follows a similar ban in New South Wales.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"France\",\n",
      "\n",
      "\"description\": \"The cellphone ban in Victoria is similar to a ban in France.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Dan Tehan\",\n",
      "\n",
      "\"description\": \"Dan Tehan, the Australian Education Minister, supported the Victoria ban.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Monash University\",\n",
      "\n",
      "\"description\": \"A survey conducted at Monash University showed support for the Victoria ban.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Neil Selwyn\",\n",
      "\n",
      "\"description\": \"Neil Selwyn, a professor at Monash University, conducted the survey on cell-phone use in schools.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Ann Marie\",\n",
      "\n",
      "\"description\": \"Ann Marie, a secondary school principal in Victoria, discussed the impact of the cellphone ban.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Australian Education Union Victoria\",\n",
      "\n",
      "\"description\": \"The Australian Education Union Victoria supports the cellphone ban but highlights the benefits of technology in education.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text: Manchester, England (CNN)Boris Johnson wants to keep his Brexit plan private. But the Prime Minister isn't having much luck these days. On Monday night, Irish broadcaster RTE reported what it claimed were details of part of Johnson's plan to break the Brexit deadlock. According to RTE, the UK's plan to avoid post-Brexit infrastructure on the frontier between Northern Ireland and the Republic of Ireland involve \"customs clearance centers\" several miles from the border -- and on both sides of it. The women of Boris Johnson's past are starting to catch up with himThat, it hopes, will remove the need for something called the Irish border backstop from any final Brexit deal. The backstop is an emergency measure which would keep the two Irish nations in regulatory alignment, removing the need for any border or \"clearance centers\" at all. It's deeply unpopular with many in Johnson's Conservative party and is one of the main reasons his predecessor, Theresa May, failed to get her Withdrawal Agreement through Parliament.Ireland quickly dismissed the idea as a \"non starter\". And Johnson himself told the BBC on Tuesday, \"that's not what we're proposing at all... you'll forgive me, I would like to veil our proposals in decent obscurity until we've been able to share them properly with our friends\". Read MoreSo why is this story a big deal? Keeping the government's formal proposals from Brussels for the time being might be wise. The crunch EU summit, at which any Brexit deal will be struck, is now under three weeks away. JUST WATCHEDBoris Johnson tells opponents to hold no-confidence voteReplayMore Videos ...MUST WATCHBoris Johnson tells opponents to hold no-confidence vote 02:41The EU is a notoriously tough institution to negotiate with and has a history of tearing apart any Brexit proposal from the moment it leaves the door. Johnson has repeatedly said that the only way to make the EU budge on ditching the backstop is to show that he is both deadly serious about getting a deal but also prepared to leave without one. Some of the ideas reported by RTE chime with speculation about the UK government's plans in recent weeks.  And anyone who has followed Brexit for the last three years will tell you, the EU and Ireland will refuse to sign a deal that involves infrastructure between Ireland and Northern Ireland. So, even though the Prime Minister has distanced himself from the proposals, these headlines will have done little to reassure Brussels that Johnson and his government are serious about getting a deal. It's also a bad look for Johnson back home. He is currently out of London and at his Conservative party's annual conference in Manchester, in the north of England. Johnson will close the conference with a keynote speech on Wednesday afternoon. British politics has been taken over by trollsIt's widely thought that he wanted to trail his final Brexit plan during this speech before formally submitting something to Brussels in the subsequent days. The problem with the leak of any Brexit plan now is that it increases the risk of Johnson being greeted by a hostile audience at his conference on Wednesday. Despite being the Brexit hero of 2016, Conservative hard-Brexiteers are deeply worried that Johnson, if he succeeds in getting rid of the backstop, will simply try and push through the rest May's Brexit deal.For Brexiteers, this would be a huge sellout. There are people sitting in Johnson's cabinet who resigned from Theresa May's government to vote against her Brexit deal. And Johnson himself resigned as May's Foreign Secretary over her general approach to Brexit. Up here in Manchester, the mood among party members is generally positive. Johnson has always been a popular Conservative MP and he seems to have broad support for his hard Brexit language. That could turn sour if he's seen to make concessions to Brussels. Which would all be somewhat ironic, for a man who has spent the past few days accusing his opponents of surrendering. \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Boris Johnson\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The Prime Minister of the United Kingdom who is leading the Brexit negotiations.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Brexit\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"The process of the United Kingdom withdrawing from the European Union.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"European Union\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A political and economic union of 27 European countries.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Irish border backstop\",\n",
      "\n",
      "\"entity_type\": \"LAW\",\n",
      "\n",
      "\"description\": \"An emergency measure to keep the two Irish nations in regulatory alignment, removing the need for any border or 'clearance centers'.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Theresa May\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Former Prime Minister of the United Kingdom and predecessor of Boris Johnson.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Conservative party\",\n",
      "\n",
      "\"entity_type\": \"POLITICAL_PARTY\",\n",
      "\n",
      "\"description\": \"The political party in the United Kingdom to which Boris Johnson and Theresa May belong.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"RTE\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"Irish broadcaster that reported details of Johnson's Brexit plan.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Boris Johnson\",\n",
      "\n",
      "\"tgt_id\": \"Brexit\",\n",
      "\n",
      "\"description\": \"Boris Johnson is leading the Brexit negotiations as the Prime Minister of the United Kingdom.\",\n",
      "\n",
      "\"weight\": 1.0,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Brexit\",\n",
      "\n",
      "\"tgt_id\": \"European Union\",\n",
      "\n",
      "\"description\": \"Brexit involves the United Kingdom withdrawing from the European Union.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Boris Johnson\",\n",
      "\n",
      "\"tgt_id\": \"Irish border backstop\",\n",
      "\n",
      "\"description\": \"Boris Johnson aims to remove the Irish border backstop from any final Brexit deal.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Theresa May\",\n",
      "\n",
      "\"tgt_id\": \"Brexit\",\n",
      "\n",
      "\"description\": \"Theresa May failed to get her Withdrawal Agreement through Parliament due to the Irish border backstop.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Boris Johnson\",\n",
      "\n",
      "\"tgt_id\": \"Conservative party\",\n",
      "\n",
      "\"description\": \"Boris Johnson is a member of the Conservative party and its leader.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"RTE\",\n",
      "\n",
      "\"tgt_id\": \"Boris Johnson\",\n",
      "\n",
      "\"description\": \"RTE reported details of part of Johnson's plan to break the Brexit deadlock.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)Across the sports world, athletes took a stand for Black Lives Matter on Wednesday night by holding an unprecedented wildcat strike and refusing to play their regularly scheduled games.The decision started with the NBA's Milwaukee Bucks and stemmed from the police shooting of Jacob Blake in Kenosha, Wisconsin, on Sunday. The stand quickly spread across a number of sports -- from basketball courts in Florida to baseball diamonds in California to soccer fields in places like Miami and Salt Lake City and even into the broadcast booth, where TNT's \"Inside the NBA\" analyst Kenny Smith took off his mic and walked off stage.But the issue is bigger than Jacob Blake or George Floyd or Breonna Taylor. Malcolm Jenkins of the NFL's New Orleans Saints positioned the protests as a response to the systemic racism baked into America, including police violence, cycles of incarceration, and the plunder of generational wealth.\"Until we continue to demand it, until 'Black Lives Matter' goes from just an idea or a goal that we're trying to attain as a society and is actually realized in the streets, we won't see any peace,\" he said. \"And I think we'll continue to see athletes, entertainers as well as citizens disrupt the status quo until that's recognized.\"Here's a look at the teams and athletes who pulled back in order to have their voices be heard.Read MoreNBA Photos: The sports world has been taking a standMembers of the Los Angeles Lakers and the Miami Heat kneel during the National Anthem before Game 1 of the NBA Finals on Wednesday, September 30.Hide Caption 1 of 42 Photos: The sports world has been taking a standThe Philadelphia Eagles and the Washington Football Team stand together before their NFL season opener on September 13.Hide Caption 2 of 42 Photos: The sports world has been taking a standTyler Wright, a two-time World Surf League Champion, takes a knee before competing in an event in Tweed Heads South, Australia, on September 13.Hide Caption 3 of 42 Photos: The sports world has been taking a standTennis star Naomi Osaka wears a face mask with Tamir Rice's name before winning the US Open final on September 12. Osaka wore a different name for each of her seven matches. Rice, a 12-year-old boy, was killed by police gunfire in Cleveland while he was holding a toy replica pistol in 2014.Hide Caption 4 of 42 Photos: The sports world has been taking a standChelsea's Pernille Harder walks out for a warm-up before a soccer match in Leigh, England, on September 6.Hide Caption 5 of 42 Photos: The sports world has been taking a standThe University of Alabama football team, led by coach Nick Saban, marches on campus in support of the Black Lives Matter movement.Hide Caption 6 of 42 Photos: The sports world has been taking a standBlack Lives Matter signage is seen in New York's Louis Armstrong Stadium as Cori Gauff plays against Anastasija Sevastova at the US Open.Hide Caption 7 of 42 Photos: The sports world has been taking a standMembers of the WNBA's Indiana Fever wear Black Lives Matter shirts before their game against the Chicago Sky on August 31.Hide Caption 8 of 42 Photos: The sports world has been taking a standMiami Marlins outfielder Lewis Brinson walks off the field August 27 after placing a Black Lives Matter T-shirt on home plate in New York. The Marlins and New York Mets walked off the field after a moment of silence, choosing not to play their scheduled baseball game. Hide Caption 9 of 42 Photos: The sports world has been taking a standNew Orleans Saints wide receiver Emmanuel Sanders wears Jacob Blake's name on his helmet during a practice on August 27.Hide Caption 10 of 42 Photos: The sports world has been taking a standThe Washington Mystics pay tribute to Jacob Blake after their WNBA game was postponed in Palmetto, Florida, on August 26.Hide Caption 11 of 42 Photos: The sports world has been taking a standA grounds crew covers the field at San Francisco's Oracle Park after a Major League Baseball game was postponed on August 26.Hide Caption 12 of 42 Photos: The sports world has been taking a standThe Milwaukee Bucks make a statement to the media after boycotting a playoff game on August 26.Hide Caption 13 of 42 Photos: The sports world has been taking a standDuring a practice round for the BMW Championship, pro golfer Cameron Champ used his shoes to show his support for Blake and the Black Lives Matter movement.Hide Caption 14 of 42 Photos: The sports world has been taking a standNBA superstar LeBron James has been one of the most outspoken athletes in recent months. \"Having two boys of my own and me being African American in America and to see what continues to happen with the police brutality towards my kind, continue to see what goes on with just the (unjust), it's very troubling. It's very troubling,\" James told Turner Sports' Jared Greenberg. \"My prayers go to (the Blake) family, and hopefully we can have some change.\" Hide Caption 15 of 42 Photos: The sports world has been taking a stand\"End racism\" banners are shown in Toronto's Scotiabank Arena before an NHL playoff game on August 26.Hide Caption 16 of 42 Photos: The sports world has been taking a standDoc Rivers, head coach of the NBA's Los Angeles Clippers, became emotional while talking about the Blake shooting and the Republican National Convention. \"All you hear is Donald Trump and all of them talking about fear,\" Rivers said. \"We're the ones getting killed. We're the ones getting shot. We're the ones who were denied to live in certain communities. We've been hung. We've been shot.\"Hide Caption 17 of 42 Photos: The sports world has been taking a standDetroit Lions defensive end Trey Flowers addresses the media with his teammates outside their practice facility on August 25. The Lions canceled their practice in light of the Blake shooting, and they discussed the incident in a team meeting that lasted hours. \"We're going to spread our message; we're going to do it as a team,\" Flowers said. \"We understand that somebody's going to try to skew the narrative ... get the message lost, but we're going to stay focused on the topic.\"Hide Caption 18 of 42 Photos: The sports world has been taking a standA Real Salt Lake fan sits in the stands after the Major League Soccer team had its game postponed on August 26.Hide Caption 19 of 42 Photos: The sports world has been taking a standNASCAR driver Bubba Wallace tweeted this selfie before a Cup Series race in Talladega, Alabama, on June 22. Fellow drivers and pit crew members walked alongside Wallace's car to show their support for him. Wallace, the only Black driver in NASCAR's top circuit, has been an outspoken advocate of the Black Lives Matter movement. Hide Caption 20 of 42 Photos: The sports world has been taking a standMembers of the NHL's Colorado Avalanche, Vegas Golden Knights, Dallas Stars and Vancouver Canucks gather together after their playoff games were postponed in Edmonton, Alberta.Hide Caption 21 of 42 Photos: The sports world has been taking a standThe Black Lives Matter protests haven't been limited to just North America. Here, professional soccer players from Aston Villa and Sheffield United take a knee as their match kicked off in Birmingham, England, on June 17. Premier League teams sported the words \"Black Lives Matter\" on the back of their jerseys when their seasons resumed.Hide Caption 22 of 42 Photos: The sports world has been taking a standFormula One champion Lewis Hamilton raises his fist before a race in Northampton, England, on August 9.Hide Caption 23 of 42 Photos: The sports world has been taking a standMatt Dumba of the Minnesota Wild kneels during the US National Anthem as it is played before an NHL game in Edmonton, Alberta, on August 1. Dumba, a member of the Hockey Diversity Alliance, gave a short speech before kneeling. He is circled by members of the Edmonton Oilers and the Chicago Blackhawks, who were about to play on the first day of the NHL's return.Hide Caption 24 of 42 Photos: The sports world has been taking a standSoccer players from PSG and Lyon take a knee before a Champions League semifinal in Bilbao, Spain, on August 26.Hide Caption 25 of 42 Photos: The sports world has been taking a standBeach volleyball player April Ross wears a temporary Black Lives Matter tattoo during a match in Long Beach, California, on July 19.Hide Caption 26 of 42 Photos: The sports world has been taking a standTennis players Dan Evans and Kyle Edmund join match umpire James Keothavong in taking a knee in London on June 28.Hide Caption 27 of 42 Photos: The sports world has been taking a standCricketers with the Kent Spitfires take a knee during a match in Canterbury, England.Hide Caption 28 of 42 Photos: The sports world has been taking a standFormula One driver Kimi Raikkonen wears an \"end racism\" shirt before a race in Barcelona, Spain, on August 16.Hide Caption 29 of 42 Photos: The sports world has been taking a standMembers of the Trinbago Knight Riders kneel before a cricket match in Port of Spain, Trinidad and Tobago.Hide Caption 30 of 42 Photos: The sports world has been taking a standThe Washington Nationals observe a moment of silence before Major League Baseball's opening game on July 23. Their opponents, The New York Yankees, also took a knee, and the initials BLM were on the pitcher's mound for the game.Hide Caption 31 of 42 Photos: The sports world has been taking a standMajor League Soccer players participate in a pregame ceremony before the league's restart on July 8.Hide Caption 32 of 42 Photos: The sports world has been taking a standHouston Dynamo goalkeeper Cody Cropper warms up in a Black Lives Matter T-shirt on August 25.Hide Caption 33 of 42 Photos: The sports world has been taking a standThe Boston Red Sox Foundation put this sign behind Fenway Park's famous \"Green Monster\" outfield wall.Hide Caption 34 of 42 Photos: The sports world has been taking a standRugby players from Bath and Northampton show their support before a game in Northampton, England.Hide Caption 35 of 42 Photos: The sports world has been taking a standKansas City outfielder Jorge Soler catches a ball in front of a George Floyd sign in Minneapolis on August 15.Hide Caption 36 of 42 Photos: The sports world has been taking a standA Houston Dash player wears a Black Lives Matter armband before a NWSL match in Herriman, Utah, on July 17.Hide Caption 37 of 42 Photos: The sports world has been taking a standAfter winning the Champions League, Bayern Munich defender David Alaba wears a shirt that says \"Black Lives Still Matter.\"Hide Caption 38 of 42 Photos: The sports world has been taking a standA Black Lives Matter sign is seen during a Major League Soccer match in Harrison, New Jersey, on August 24.Hide Caption 39 of 42 Photos: The sports world has been taking a standMembers of the San Antonio Spurs huddle before a game against Sacramento on July 31.Hide Caption 40 of 42 Photos: The sports world has been taking a standKilmarnock manager Alex Dyer, second from right, takes a knee before a soccer match in Glasgow, Scotland.Hide Caption 41 of 42 Photos: The sports world has been taking a standMembers of the Orlando Magic and Brooklyn Nets kneel during the National Anthem before the start of an NBA game on July 31.Hide Caption 42 of 42The Milwaukee Bucks did not emerge from their locker room before the scheduled tip at 4 p.m. Wednesday as they decided to refuse to play their playoff game.Soon after, the NBA announced it would postpone Game 5 of three different playoff series -- the Bucks vs. Orlando Magic, Houston Rockets vs. Oklahoma City Thunder and Los Angeles Lakers vs. Portland Trail Blazers.The postponed games have not yet been rescheduled.Three playoff games on Thursday also were postponed but the league said it hoped to resume games Friday or Saturday. Strikes are banned under the NBA's collective bargaining agreement, which means the Bucks players broke their own contract to protest racial injustice and police violence. In a statement issued on Wednesday afternoon, the Bucks players said they are \"calling for justice for Jacob Blake and demand the officers be held accountable. \"Full statement from the Milwaukee Bucks: pic.twitter.com/jjGEyVcCmB— Milwaukee Bucks (@Bucks) August 26, 2020\n",
      "\n",
      "\"The past four months have shed a light on the ongoing racial injustices facing our African American communities. Citizens around the country have used their voices and platforms to speak out against these wrongdoings,\" they said in a statement.\"Despite the overwhelming plea for change, there has been no action, so our focus today cannot be on basketball.\"The Los Angeles Lakers also offered a statement in support of the players' decision.\"Eighty percent of NBA players are Black men. We cannot love them for the joy and entertainment that they bring to the world, yet sit in silence and fail to use our platforms and resources to amplify their voices when they demand the justice and equality that America has promised us all, but denied Black people for too long,\" the Lakers said.WNBAElizabeth Williams of the Atlanta Dream said WNBA players were standing in solidarity with \"our brothers in the NBA.\"Representing the six teams slated to play on Wednesday, Atlanta Dream player Elizabeth Williams announced that WNBA players were standing in solidarity with \"our brothers in the NBA\" and also would not play. The ESPN2 broadcast showed players from the six teams scheduled to take the court in locked arms and kneeling while wearing shirts spelling out Jacob Blake's name. The WNBA announced that the three games scheduled for Wednesday evening had been postponed. On Thursday, the league announced the postponement of the day's three scheduled games as well.Instead of playing Thursday, the entire league of WNBA players stood arm-in-arm in solidarity.\"It is important to note that this is not a strike,\" said Women's National Basketball Players Association (WNBPA) president and Los Angeles Sparks star Nneka Ogwumike, reading a statement from the players, to ESPN's Holly Rowe. \"This is not a boycott. This is affirmatively a day of reflection. A day of informed action and mobilization.\"Ogwumike said players plan to play in games that are scheduled for Friday.\"I feel like as a group we decided last night that we want to play,\" Ogwumike said. \"There are games scheduled tomorrow. That's what we're ready to do, but that doesn't come without, of course, demands of players to continue to amplify our voices in more ways than when we came here.\"We realize that the work is not easy, but we also understand that the work is never done. There are things that happen that just allow us times to take a moment -- that's fair; we can take a moment -- and that moment we came together and we decided we need time for ourselves to come back, regroup and continue to amplify our voices, and be there for our communities and demand change from the leaders that are representing us right now.\"MLBThe words 'Black Lives Matter' are displayed on the digital screen after the postponement of the game between the San Francisco Giants and the Los Angeles Dodgers Wednesday.Three MLB games were postponed Wednesday: Cincinnati Reds vs. Milwaukee Brewers, Seattle Mariners vs. San Diego Padres, Los Angeles Dodgers vs. San Francisco Giants.\"With our community and our nation in such pain, we wanted to draw as much attention to the issues that really matter, especially racial injustice and systemic oppression,\" a joint statement from the Brewers and Reds said.\"Given the pain in the communities of Wisconsin and beyond following the shooting of Jacob Blake, we respect the decisions of a number of players not to play tonight,\" a league statement Wednesday said. \"Major League Baseball remains united for change in our society and we will be allies in the fight to end racism and injustice.\"Mets player Dominic Smith, who is Black, was driven to tears on Wednesday, telling reporters after the Mets defeated the Marlins, \"I think the most difficult part is to see people still don't care. And for this to continuously happen it just shows just the hate in people's heart and that just sucks. Being a Black man in America is not easy.\"On Thursday, seven games would not take place: Minnesota Twins vs. Detroit Tigers, Colorado Rockies vs. Arizona Diamondbacks, Baltimore Orioles vs. Tampa Bay Rays, Oakland Athletics vs. Texas Rangers, Philadelphia Phillies vs. Washington Nationals, Boston Red Sox vs. Toronto Blue Jays and Miami Marlins vs. New York Mets.Athletes across US sports take a stand, as games are called off in solidarity with Bucks' boycottIn a powerful moment Thursday at Citi Field in New York, the Mets starting defense took the field as scheduled, and then the remaining players for both teams came out of their dugouts and a moment of silence was observed, which the SNY television broadcast said lasted 42 seconds, and then walked off the field.Before he left the field, Miami Marlins player Lewis Brinson laid a \"Black Lives Matter\" shirt at home plate.\"Enough,\" the Marlins tweeted.Enough. pic.twitter.com/25SnNMCfBu— Miami Marlins (@Marlins) August 27, 2020 MLB is scheduled to observe Jackie Robinson Day on Friday to honor the color-barrier-breaking Hall of Famer, who wore number 42.NFLSeveral National Football League teams canceled practice Thursday to focus on conversations about race.The Denver Broncos joined the Arizona Cardinals, Indianapolis Colts, Washington Football Team and New York Jets in forgoing practice to allow players to weigh in on what they can do to effect change.The Chicago Bears said in a statement Thursday that the organization had decided to pause football activities \"to voice to each other, our coaches and our staff where we stand on the real issues around race and police brutality in our country.\"\"We had a productive discussion, but we all agreed that talks and discussions are simply not enough anymore and we need action,\" the statement said. \"We are putting in plans to take action in our communities and together we believe we can make a real difference. We need action not only today, but in the days to come.\"MLSInter Miami midfielder Lee Nguyen exits the field after Inter Miami and Atlanta United players decided not to play.Five Major League Soccer games scheduled to take place on Wednesday night were postponed, the league announced.\"The entire Major League Soccer family unequivocally condemns racism and has always stood for equality, but we need to do more to take tangible steps to impact change,\" MLS said. \"We will continue to work without players, our clubs and the broader soccer community to harness our collective power to fight for equality and social justice.\"TennisTennis superstar Naomi Osaka announced Wednesday that she would not play in the Western & Southern Open semifinals on Thursday. \"Watching the continued genocide of Black people at the hand of the police is honestly making me sick to my stomach,\" she wrote.Later on Wednesday, after Osaka's post, it was announced that the Western & Southern Open would pause tournament play on Thursday, resuming on Friday.By Thursday, a statement by her management team to The Guardian and The New York Times indicated she planned to play Friday instead.\"They offered to postpone all matches until Friday and in my mind that brings more attention to the movement,\" Osaka said. She also thanked the WTA and the tournament for their support.A WTA spokesperson tells CNN that Osaka did not officially withdraw from the Western & Southern Open on Wednesday. She is scheduled to play Elise Mertens in the semifinals on Friday.NHLThe NHL's Stanley Cup Playoffs continued Wednesday with two games. However, the league opted to postpone two games scheduled for Thursday and two scheduled for Friday.\"After much discussion, NHL Players believe that the best course of action would be to take a step back and not play tonight's and tomorrow's games as scheduled,\" a Thursday joint statement from the league and the players association said. \"The NHL supports the Players' decision and will reschedule those four games beginning Saturday and adjust the remainder of the Second Round schedule accordingly. \"Black and Brown communities continue to face real, painful experiences. The NHL and NHLPA recognize that much work remains to be done before we can play an appropriate role in a discussion centered on diversity, inclusion and social justice.\"Before the start of Game 3 of the second-round series between the Tampa Bay Lightning and Boston Bruins on Wednesday, there was a moment of reflection for racism in response to the Blake shooting.CNN's Ray Sanchez, Eric Levenson and Cesar Marin contributed to this report.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We will first identify the entities in the text based on the provided entity types. Then, we will determine the relationships between these entities, focusing on the interactions and associations described in the text. Finally, we will format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Milwaukee Bucks\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"An NBA team that initiated the wildcat strike.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Jacob Blake\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A person who was shot by police, leading to the sports world's protest.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kenosha, Wisconsin\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The location where Jacob Blake was shot by police.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"NBA\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The National Basketball Association, which saw multiple teams participating in the strike.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Los Angeles Lakers\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"An NBA team that supported the strike.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"WNBA\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The Women's National Basketball Association, which also participated in the strike.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Major League Baseball (MLB)\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A professional baseball organization where games were postponed in solidarity.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"National Football League (NFL)\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A professional football league where teams canceled practices to discuss racial issues.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Major League Soccer (MLS)\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A professional soccer league where games were postponed in solidarity.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Naomi Osaka\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A tennis superstar who refused to play in a tournament to protest racial injustice.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"National Hockey League (NHL)\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A professional hockey league where games were postponed in solidarity.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Milwaukee Bucks\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The Milwaukee Bucks initiated a wildcat strike in the NBA.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Milwaukee Bucks\",\n",
      "\n",
      "\"tgt_id\": \"Jacob Blake\",\n",
      "\n",
      "\"description\": \"The Milwaukee Bucks' strike was in response to the police shooting of Jacob Blake.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Los Angeles Lakers\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The Los Angeles Lakers supported the strike in the NBA.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"WNBA\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The WNBA stood in solidarity with the NBA during the strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Major League Baseball (MLB)\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The MLB postponed games in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"National Football League (NFL)\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The NFL canceled practices to discuss racial issues in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Major League Soccer (MLS)\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The MLS postponed games in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Naomi Osaka\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"Naomi Osaka refused to play in a tournament in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"National Hockey League (NHL)\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The NHL postponed games in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "/opt/homebrew/Caskroom/miniconda/base/envs/nano-graphrag/lib/python3.10/site-packages/optuna/samplers/_tpe/sampler.py:319: ExperimentalWarning: ``multivariate`` option is an experimental feature. The interface can change in the future.\n",
      "  warnings.warn(\n",
      "[I 2024-09-20 18:37:04,086] A new study created in memory with name: no-name-80b7b333-e37b-4380-94c7-15183cc4517f\n",
      "INFO:root:Starting trial num: 0\n",
      "INFO:root:instruction_idx 1\n",
      "INFO:root:demos_idx 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Use the information below to learn about a task that we are trying to solve using calls to an LM, then generate a new instruction that will be used to prompt a Language Model to better solve the task.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "DATASET SUMMARY: A description of the dataset that we are using.\n",
      "\n",
      "PROGRAM CODE: Language model program designed to solve a particular task.\n",
      "\n",
      "PROGRAM DESCRIPTION: Summary of the task the program is designed to solve, and how it goes about solving it.\n",
      "\n",
      "MODULE: The module to create an instruction for.\n",
      "\n",
      "TASK DEMO(S): Example inputs/outputs of our module.\n",
      "\n",
      "BASIC INSTRUCTION: Basic instruction.\n",
      "\n",
      "TIP: A suggestion for how to go about generating the new instruction.\n",
      "\n",
      "PROPOSED INSTRUCTION: Propose an instruction that will be used to prompt a Language Model to perform this task.\n",
      "\n",
      "---\n",
      "\n",
      "DATASET SUMMARY: The dataset consists of news articles from CNN, covering a wide range of topics with a structured format including headlines, summaries, and detailed bodies. Key entities are highlighted with importance scores, and multimedia elements are prevalent, making it suitable for natural language processing and information extraction tasks.\n",
      "\n",
      "PROGRAM CODE:\n",
      "StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions='Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.'\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")\n",
      "\n",
      "\n",
      "\n",
      "class TypedPredictor(dspy.Module):\n",
      "    def __init__(self, signature, instructions=None, *, max_retries=3, wrap_json=False, explain_errors=False):\n",
      "        \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "        Args:\n",
      "            signature: The signature of the module. Can use type annotations.\n",
      "            instructions: A description of what the model should do.\n",
      "            max_retries: The number of times to retry the prediction if the output is invalid.\n",
      "            wrap_json: If True, json objects in the input will be wrapped in ```json ... ```\n",
      "            explain_errors: If True, the model will try to explain the errors it encounters.\n",
      "        \"\"\"\n",
      "        super().__init__()\n",
      "        self.signature = ensure_signature(signature, instructions)\n",
      "        self.predictor = dspy.Predict(signature)\n",
      "        self.max_retries = max_retries\n",
      "        self.wrap_json = wrap_json\n",
      "        self.explain_errors = explain_errors\n",
      "\n",
      "    def copy(self) -> \"TypedPredictor\":\n",
      "        return TypedPredictor(\n",
      "            self.signature,\n",
      "            max_retries=self.max_retries,\n",
      "            wrap_json=self.wrap_json,\n",
      "            explain_errors=self.explain_errors,\n",
      "        )\n",
      "\n",
      "    def __repr__(self):\n",
      "        \"\"\"Return a string representation of the TypedPredictor object.\"\"\"\n",
      "        return f\"TypedPredictor({self.signature})\"\n",
      "\n",
      "    def _make_example(self, type_) -> str:\n",
      "        # Note: DSPy will cache this call so we only pay the first time TypedPredictor is called.\n",
      "        schema = json.dumps(type_.model_json_schema())\n",
      "        if self.wrap_json:\n",
      "            schema = \"```json\\n\" + schema + \"\\n```\\n\"\n",
      "        json_object = dspy.Predict(\n",
      "            make_signature(\n",
      "                \"json_schema -> json_object\",\n",
      "                \"Make a very succinct json object that validates with the following schema\",\n",
      "            ),\n",
      "        )(json_schema=schema).json_object\n",
      "        # We use the model_validate_json method to make sure the example is valid\n",
      "        try:\n",
      "            type_.model_validate_json(_unwrap_json(json_object, type_.model_validate_json))\n",
      "        except (pydantic.ValidationError, ValueError):\n",
      "            return \"\"  # Unable to make an example\n",
      "        return json_object\n",
      "        # TODO: Another fun idea is to only (but automatically) do this if the output fails.\n",
      "        # We could also have a more general \"suggest solution\" prompt that tries to fix the output\n",
      "        # More directly.\n",
      "        # TODO: Instead of using a language model to create the example, we can also just use a\n",
      "        # library like https://pypi.org/project/polyfactory/ that's made exactly to do this.\n",
      "\n",
      "    def _format_error(\n",
      "        self,\n",
      "        error: Exception,\n",
      "        task_description: Union[str, FieldInfo],\n",
      "        model_output: str,\n",
      "        lm_explain: bool,\n",
      "    ) -> str:\n",
      "        if isinstance(error, pydantic.ValidationError):\n",
      "            errors = []\n",
      "            for e in error.errors():\n",
      "                fields = \", \".join(map(str, e[\"loc\"]))\n",
      "                errors.append(f\"{e['msg']}: {fields} (error type: {e['type']})\")\n",
      "            error_text = \"; \".join(errors)\n",
      "        else:\n",
      "            error_text = repr(error)\n",
      "\n",
      "        if self.explain_errors and lm_explain:\n",
      "            if isinstance(task_description, FieldInfo):\n",
      "                args = task_description.json_schema_extra\n",
      "                task_description = args[\"prefix\"] + \" \" + args[\"desc\"]\n",
      "            return (\n",
      "                error_text\n",
      "                + \"\\n\"\n",
      "                + self._make_explanation(\n",
      "                    task_description=task_description,\n",
      "                    model_output=model_output,\n",
      "                    error=error_text,\n",
      "                )\n",
      "            )\n",
      "\n",
      "        return error_text\n",
      "\n",
      "    def _make_explanation(self, task_description: str, model_output: str, error: str) -> str:\n",
      "        class Signature(dspy.Signature):\n",
      "            \"\"\"I gave my language model a task, but it failed.\n",
      "\n",
      "            Figure out what went wrong, and write instructions to help it avoid the error next time.\n",
      "            \"\"\"\n",
      "\n",
      "            task_description: str = dspy.InputField(desc=\"What I asked the model to do\")\n",
      "            language_model_output: str = dspy.InputField(desc=\"The output of the model\")\n",
      "            error: str = dspy.InputField(desc=\"The validation error trigged by the models output\")\n",
      "            explanation: str = dspy.OutputField(desc=\"Explain what the model did wrong\")\n",
      "            advice: str = dspy.OutputField(\n",
      "                desc=\"Instructions for the model to do better next time. A single paragraph.\",\n",
      "            )\n",
      "\n",
      "        # TODO: We could also try repair the output here. For example, if the output is a float, but the\n",
      "        # model returned a \"float + explanation\", the repair could be to remove the explanation.\n",
      "\n",
      "        return dspy.Predict(Signature)(\n",
      "            task_description=task_description,\n",
      "            language_model_output=model_output,\n",
      "            error=error,\n",
      "        ).advice\n",
      "\n",
      "    def _prepare_signature(self) -> dspy.Signature:\n",
      "        \"\"\"Add formats and parsers to the signature fields, based on the type annotations of the fields.\"\"\"\n",
      "        signature = self.signature\n",
      "        for name, field in self.signature.fields.items():\n",
      "            is_output = field.json_schema_extra[\"__dspy_field_type\"] == \"output\"\n",
      "            type_ = field.annotation\n",
      "            if is_output:\n",
      "                if type_ is bool:\n",
      "\n",
      "                    def parse(x):\n",
      "                        x = x.strip().lower()\n",
      "                        if x not in (\"true\", \"false\"):\n",
      "                            raise ValueError(\"Respond with true or false\")\n",
      "                        return x == \"true\"\n",
      "\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\" (Respond with true or false)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=parse,\n",
      "                    )\n",
      "                elif type_ in (str, int, float):\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (f\" (Respond with a single {type_.__name__} value)\" if type_ != str else \"\"),\n",
      "                        format=lambda x: x if isinstance(x, str) else str(x),\n",
      "                        parser=type_,\n",
      "                    )\n",
      "                elif False:\n",
      "                    # TODO: I don't like forcing the model to write \"value\" in the output.\n",
      "                    if not (inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel)):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()[9:-1]  # {\"value\":\"123\"}\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json('{\"value\":' + x + \"}\").value\n",
      "                        schema = json.dumps(type_.model_json_schema()[\"properties\"][\"value\"])\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                else:\n",
      "                    # Anything else we wrap in a pydantic object\n",
      "                    if not (\n",
      "                        inspect.isclass(type_)\n",
      "                        and typing.get_origin(type_) not in (list, tuple)  # To support Python 3.9\n",
      "                        and issubclass(type_, pydantic.BaseModel)\n",
      "                    ):\n",
      "                        type_ = pydantic.create_model(\"Output\", value=(type_, ...), __base__=pydantic.BaseModel)\n",
      "                        to_json = lambda x, type_=type_: type_(value=x).model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x).value\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    else:\n",
      "                        to_json = lambda x: x.model_dump_json()\n",
      "                        from_json = lambda x, type_=type_: type_.model_validate_json(x)\n",
      "                        schema = json.dumps(type_.model_json_schema())\n",
      "                    if self.wrap_json:\n",
      "                        to_json = lambda x, inner=to_json: \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                        schema = \"```json\\n\" + schema + \"\\n```\"\n",
      "                    signature = signature.with_updated_fields(\n",
      "                        name,\n",
      "                        desc=field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        + (\". Respond with a single JSON object. JSON Schema: \" + schema),\n",
      "                        format=lambda x, to_json=to_json: (x if isinstance(x, str) else to_json(x)),\n",
      "                        parser=lambda x, from_json=from_json: from_json(_unwrap_json(x, from_json)),\n",
      "                        type_=type_,\n",
      "                    )\n",
      "            else:  # If input field\n",
      "                is_json = False\n",
      "                format_ = lambda x: x if isinstance(x, str) else str(x)\n",
      "                if type_ in (List[str], list[str], Tuple[str], tuple[str]):\n",
      "                    format_ = passages2text\n",
      "                # Special formatting for lists of known types. Maybe the output fields sohuld have this too?\n",
      "                elif typing.get_origin(type_) in (List, list, Tuple, tuple):\n",
      "                    (inner_type,) = typing.get_args(type_)\n",
      "                    if inspect.isclass(inner_type) and issubclass(inner_type, pydantic.BaseModel):\n",
      "                        format_ = (\n",
      "                            lambda x: x if isinstance(x, str) else \"[\" + \",\".join(i.model_dump_json() for i in x) + \"]\"\n",
      "                        )\n",
      "                    else:\n",
      "                        format_ = lambda x: x if isinstance(x, str) else json.dumps(x)\n",
      "                    is_json = True\n",
      "                elif inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel):\n",
      "                    format_ = lambda x: x if isinstance(x, str) else x.model_dump_json()\n",
      "                    is_json = True\n",
      "                if self.wrap_json and is_json:\n",
      "                    format_ = lambda x, inner=format_: x if isinstance(x, str) else \"```json\\n\" + inner(x) + \"\\n```\\n\"\n",
      "                signature = signature.with_updated_fields(name, format=format_)\n",
      "\n",
      "        return signature\n",
      "\n",
      "    def forward(self, **kwargs) -> dspy.Prediction:\n",
      "        modified_kwargs = kwargs.copy()\n",
      "        # We have to re-prepare the signature on every forward call, because the base\n",
      "        # signature might have been modified by an optimizer or something like that.\n",
      "        signature = self._prepare_signature()\n",
      "        for try_i in range(self.max_retries):\n",
      "            result = self.predictor(**modified_kwargs, new_signature=signature)\n",
      "            errors = {}\n",
      "            parsed_results = []\n",
      "            # Parse the outputs\n",
      "            for completion in result.completions:\n",
      "                parsed = {}\n",
      "                for name, field in signature.output_fields.items():\n",
      "                    try:\n",
      "                        value = completion[name]\n",
      "                        parser = field.json_schema_extra.get(\"parser\", lambda x: x)\n",
      "                        parsed[name] = parser(value)\n",
      "                    except (pydantic.ValidationError, ValueError) as e:\n",
      "                        errors[name] = self._format_error(\n",
      "                            e,\n",
      "                            signature.fields[name],\n",
      "                            value,\n",
      "                            lm_explain=try_i + 1 < self.max_retries,\n",
      "                        )\n",
      "\n",
      "                        # If we can, we add an example to the error message\n",
      "                        current_desc = field.json_schema_extra.get(\"desc\", \"\")\n",
      "                        i = current_desc.find(\"JSON Schema: \")\n",
      "                        if i == -1:\n",
      "                            continue  # Only add examples to JSON objects\n",
      "                        suffix, current_desc = current_desc[i:], current_desc[:i]\n",
      "                        prefix = \"You MUST use this format: \"\n",
      "                        if (\n",
      "                            try_i + 1 < self.max_retries\n",
      "                            and prefix not in current_desc\n",
      "                            and (example := self._make_example(field.annotation))\n",
      "                        ):\n",
      "                            signature = signature.with_updated_fields(\n",
      "                                name,\n",
      "                                desc=current_desc + \"\\n\" + prefix + example + \"\\n\" + suffix,\n",
      "                            )\n",
      "                # No reason trying to parse the general signature, or run more completions, if we already have errors\n",
      "                if errors:\n",
      "                    break\n",
      "                # Instantiate the actual signature with the parsed values.\n",
      "                # This allow pydantic to validate the fields defined in the signature.\n",
      "                try:\n",
      "                    _ = self.signature(**kwargs, **parsed)\n",
      "                    parsed_results.append(parsed)\n",
      "                except pydantic.ValidationError as e:\n",
      "                    errors[\"general\"] = self._format_error(\n",
      "                        e,\n",
      "                        signature.instructions,\n",
      "                        \"\\n\\n\".join(\n",
      "                            \"> \" + field.json_schema_extra[\"prefix\"] + \" \" + completion[name]\n",
      "                            for name, field in signature.output_fields.items()\n",
      "                        ),\n",
      "                        lm_explain=try_i + 1 < self.max_retries,\n",
      "                    )\n",
      "            if errors:\n",
      "                # Add new fields for each error\n",
      "                for name, error in errors.items():\n",
      "                    modified_kwargs[f\"error_{name}_{try_i}\"] = error\n",
      "                    if name == \"general\":\n",
      "                        error_prefix = \"General:\"\n",
      "                    else:\n",
      "                        error_prefix = signature.output_fields[name].json_schema_extra[\"prefix\"]\n",
      "                    number = \"\" if try_i == 0 else f\" ({try_i+1})\"\n",
      "                    signature = signature.append(\n",
      "                        f\"error_{name}_{try_i}\",\n",
      "                        dspy.InputField(\n",
      "                            prefix=f\"Past Error{number} in {error_prefix}\",\n",
      "                            desc=\"An error to avoid in the future\",\n",
      "                        ),\n",
      "                    )\n",
      "            else:\n",
      "                # If there are no errors, we return the parsed results\n",
      "                return Prediction.from_completions(\n",
      "                    {key: [r[key] for r in parsed_results] for key in signature.output_fields},\n",
      "                )\n",
      "        raise ValueError(\n",
      "            \"Too many retries trying to get the correct output format. \" + \"Try simplifying the requirements.\",\n",
      "            errors,\n",
      "        )\n",
      "\n",
      "class TypedEntityRelationshipExtractorException(dspy.Module):\n",
      "    def __init__(self, predictor: dspy.Module, exception_types: tuple[type[Exception]] = (Exception,)):\n",
      "        super().__init__()\n",
      "        self.predictor = predictor\n",
      "        self.exception_types = exception_types\n",
      "\n",
      "    def copy(self):\n",
      "        return TypedEntityRelationshipExtractorException(self.predictor)\n",
      "\n",
      "    def forward(self, **kwargs):\n",
      "        try:\n",
      "            prediction = self.predictor(**kwargs)\n",
      "            return prediction\n",
      "\n",
      "        except Exception as e:\n",
      "            if isinstance(e, self.exception_types):\n",
      "                return dspy.Prediction(entities_relationships=[])\n",
      "\n",
      "            raise e\n",
      "\n",
      "class TypedEntityRelationshipExtractor(dspy.Module):\n",
      "    def __init__(self, instructions: str = None, reasoning: str = None, max_retries: int = 3, lm: dspy.LM = None):\n",
      "        super().__init__()\n",
      "        self.lm = lm\n",
      "        self.entity_types = ENTITY_TYPES\n",
      "        self.extractor = dspy.TypedChainOfThought(\n",
      "            signature=CombinedExtraction, \n",
      "            instructions=instructions, \n",
      "            reasoning=reasoning, \n",
      "            max_retries=max_retries\n",
      "        )\n",
      "        self.extractor = TypedEntityRelationshipExtractorException(self.extractor, exception_types=(ValueError,))\n",
      "\n",
      "    def forward(self, input_text: str) -> dspy.Prediction:\n",
      "        with dspy.context(lm=self.lm if self.lm is not None else dspy.settings.lm):\n",
      "            extraction_result = self.extractor(input_text=input_text, entity_types=self.entity_types)\n",
      "\n",
      "        entities = [\n",
      "            {\n",
      "                \"entity_name\": clean_str(entity['entity_name'].upper()),\n",
      "                \"entity_type\": clean_str(entity['entity_type'].upper()),\n",
      "                \"description\": entity['description'],\n",
      "                \"importance_score\": float(entity['importance_score'])\n",
      "            }\n",
      "            for entity in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Entity)]\n",
      "        ]\n",
      "\n",
      "        relationships = [\n",
      "            {\n",
      "                \"src_id\": clean_str(relationship['src_id'].upper()),\n",
      "                \"tgt_id\": clean_str(relationship['tgt_id'].upper()),\n",
      "                \"description\": relationship['description'],\n",
      "                \"weight\": float(relationship['weight']),\n",
      "                \"order\": int(relationship['order'])\n",
      "            }\n",
      "            for relationship in [item.model_dump() for item in extraction_result.entities_relationships if isinstance(item, Relationship)]\n",
      "        ]\n",
      "        return dspy.Prediction(entities=entities, relationships=relationships)\n",
      "\n",
      "\n",
      "PROGRAM DESCRIPTION: The program is designed to solve the task of extracting entities and relationships from text, specifically focusing on identifying entities based on predefined types and determining the relationships between these entities. It works by using a language model to process the input text and entity types, generating a step-by-step reasoning process to identify and relate the entities, and finally outputting the entities and their relationships in a structured JSON format. The program ensures type annotations are enforced and includes mechanisms for handling errors and retries to improve the accuracy of the output.\n",
      "\n",
      "MODULE: \"\"\"Like dspy.Predict, but enforces type annotations in the signature.\n",
      "\n",
      "TASK DEMO(S):\n",
      "Input Text:  (CNN)A ban on cellphones in classrooms was announced in the Australian state of Victoria on Wednesday. The ban, which will apply to primary and secondary students, is designed to crack down on cyber-bulling and classroom distractions, the Victorian government said in a statement. While some schools in Australia have already banned cell-phone use, this marks the first statewide ban in the country. It will begin from the first school term of 2020.\"Students will be required to switch off their phones and store them securely in lockers from the start of the school day until the final bell. When emergencies occur, parents or guardians can reach their child by calling the school,\" the statement said.Victoria Education Minister James Merlino said he didn't expect the move to be \"universally popular\" but said it was the \"right thing to do\" on his official social media. Read MoreA report says young people are growing horns on their skulls. Critics don't buy itThe move isn't without precedent. Australia's largest state, New South Wales, banned mobile phones in primary schools in 2018, and France has banned all smart phones and smart devices from schools.Australian Education Minister Dan Tehan said in a statement that he supported the Victoria ban.\"When I talk to parents and teachers the overwhelming majority want action on banning mobile phones in the classroom,\" Tehan said in a statement. In a 2019 survey of about 2,000 Australian adults, by Monash University professor Neil Selywn, almost 80% supported a restriction on cell-phone use in schools, while one-third supported an outright ban.Ann Marie, a secondary school principal at a college in Victoria, told ABC Radio Melbourne that pupils at her school had agreed to restrict their mobile phone use during the day, explaining that they hoped to reduce \"bullying, distraction and one-upmanship.\"But there have been some concerns. The Australian Education Union Victoria said in a statement that while it supports the ban: \"We can't lose sight of the benefits that technology, including mobile phones, can bring to high quality teaching and learning.\"Some pupils with special needs will be exempt from the ban, including those who require telephones to monitor health conditions or those who have received permission from a teacher.  \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering the context and descriptions provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Victoria\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The Australian state where the cellphone ban in classrooms was announced.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"James Merlino\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The Victoria Education Minister who announced the cellphone ban.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"New South Wales\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"Australia's largest state that previously banned mobile phones in primary schools.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"France\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"A country that has banned all smart phones and smart devices from schools.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Dan Tehan\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The Australian Education Minister who supported the Victoria ban.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Monash University\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The university where a survey on cell-phone use in schools was conducted.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Neil Selwyn\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A professor at Monash University who conducted the survey on cell-phone use in schools.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Ann Marie\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A secondary school principal in Victoria who discussed the impact of the cellphone ban.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Australian Education Union Victoria\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"An organization that supports the cellphone ban but highlights the benefits of technology in education.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"James Merlino\",\n",
      "\n",
      "\"description\": \"James Merlino, the Victoria Education Minister, announced the cellphone ban in Victoria.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"New South Wales\",\n",
      "\n",
      "\"description\": \"The cellphone ban in Victoria follows a similar ban in New South Wales.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"France\",\n",
      "\n",
      "\"description\": \"The cellphone ban in Victoria is similar to a ban in France.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Dan Tehan\",\n",
      "\n",
      "\"description\": \"Dan Tehan, the Australian Education Minister, supported the Victoria ban.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Monash University\",\n",
      "\n",
      "\"description\": \"A survey conducted at Monash University showed support for the Victoria ban.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Neil Selwyn\",\n",
      "\n",
      "\"description\": \"Neil Selwyn, a professor at Monash University, conducted the survey on cell-phone use in schools.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Ann Marie\",\n",
      "\n",
      "\"description\": \"Ann Marie, a secondary school principal in Victoria, discussed the impact of the cellphone ban.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Victoria\",\n",
      "\n",
      "\"tgt_id\": \"Australian Education Union Victoria\",\n",
      "\n",
      "\"description\": \"The Australian Education Union Victoria supports the cellphone ban but highlights the benefits of technology in education.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text: Manchester, England (CNN)Boris Johnson wants to keep his Brexit plan private. But the Prime Minister isn't having much luck these days. On Monday night, Irish broadcaster RTE reported what it claimed were details of part of Johnson's plan to break the Brexit deadlock. According to RTE, the UK's plan to avoid post-Brexit infrastructure on the frontier between Northern Ireland and the Republic of Ireland involve \"customs clearance centers\" several miles from the border -- and on both sides of it. The women of Boris Johnson's past are starting to catch up with himThat, it hopes, will remove the need for something called the Irish border backstop from any final Brexit deal. The backstop is an emergency measure which would keep the two Irish nations in regulatory alignment, removing the need for any border or \"clearance centers\" at all. It's deeply unpopular with many in Johnson's Conservative party and is one of the main reasons his predecessor, Theresa May, failed to get her Withdrawal Agreement through Parliament.Ireland quickly dismissed the idea as a \"non starter\". And Johnson himself told the BBC on Tuesday, \"that's not what we're proposing at all... you'll forgive me, I would like to veil our proposals in decent obscurity until we've been able to share them properly with our friends\". Read MoreSo why is this story a big deal? Keeping the government's formal proposals from Brussels for the time being might be wise. The crunch EU summit, at which any Brexit deal will be struck, is now under three weeks away. JUST WATCHEDBoris Johnson tells opponents to hold no-confidence voteReplayMore Videos ...MUST WATCHBoris Johnson tells opponents to hold no-confidence vote 02:41The EU is a notoriously tough institution to negotiate with and has a history of tearing apart any Brexit proposal from the moment it leaves the door. Johnson has repeatedly said that the only way to make the EU budge on ditching the backstop is to show that he is both deadly serious about getting a deal but also prepared to leave without one. Some of the ideas reported by RTE chime with speculation about the UK government's plans in recent weeks.  And anyone who has followed Brexit for the last three years will tell you, the EU and Ireland will refuse to sign a deal that involves infrastructure between Ireland and Northern Ireland. So, even though the Prime Minister has distanced himself from the proposals, these headlines will have done little to reassure Brussels that Johnson and his government are serious about getting a deal. It's also a bad look for Johnson back home. He is currently out of London and at his Conservative party's annual conference in Manchester, in the north of England. Johnson will close the conference with a keynote speech on Wednesday afternoon. British politics has been taken over by trollsIt's widely thought that he wanted to trail his final Brexit plan during this speech before formally submitting something to Brussels in the subsequent days. The problem with the leak of any Brexit plan now is that it increases the risk of Johnson being greeted by a hostile audience at his conference on Wednesday. Despite being the Brexit hero of 2016, Conservative hard-Brexiteers are deeply worried that Johnson, if he succeeds in getting rid of the backstop, will simply try and push through the rest May's Brexit deal.For Brexiteers, this would be a huge sellout. There are people sitting in Johnson's cabinet who resigned from Theresa May's government to vote against her Brexit deal. And Johnson himself resigned as May's Foreign Secretary over her general approach to Brexit. Up here in Manchester, the mood among party members is generally positive. Johnson has always been a popular Conservative MP and he seems to have broad support for his hard Brexit language. That could turn sour if he's seen to make concessions to Brussels. Which would all be somewhat ironic, for a man who has spent the past few days accusing his opponents of surrendering. \n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Boris Johnson\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"The Prime Minister of the United Kingdom who is leading the Brexit negotiations.\",\n",
      "\n",
      "\"importance_score\": 1.0\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Brexit\",\n",
      "\n",
      "\"entity_type\": \"EVENT\",\n",
      "\n",
      "\"description\": \"The process of the United Kingdom withdrawing from the European Union.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"European Union\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A political and economic union of 27 European countries.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Irish border backstop\",\n",
      "\n",
      "\"entity_type\": \"LAW\",\n",
      "\n",
      "\"description\": \"An emergency measure to keep the two Irish nations in regulatory alignment, removing the need for any border or 'clearance centers'.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Theresa May\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"Former Prime Minister of the United Kingdom and predecessor of Boris Johnson.\",\n",
      "\n",
      "\"importance_score\": 0.6\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Conservative party\",\n",
      "\n",
      "\"entity_type\": \"POLITICAL_PARTY\",\n",
      "\n",
      "\"description\": \"The political party in the United Kingdom to which Boris Johnson and Theresa May belong.\",\n",
      "\n",
      "\"importance_score\": 0.5\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"RTE\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"Irish broadcaster that reported details of Johnson's Brexit plan.\",\n",
      "\n",
      "\"importance_score\": 0.4\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Boris Johnson\",\n",
      "\n",
      "\"tgt_id\": \"Brexit\",\n",
      "\n",
      "\"description\": \"Boris Johnson is leading the Brexit negotiations as the Prime Minister of the United Kingdom.\",\n",
      "\n",
      "\"weight\": 1.0,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Brexit\",\n",
      "\n",
      "\"tgt_id\": \"European Union\",\n",
      "\n",
      "\"description\": \"Brexit involves the United Kingdom withdrawing from the European Union.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Boris Johnson\",\n",
      "\n",
      "\"tgt_id\": \"Irish border backstop\",\n",
      "\n",
      "\"description\": \"Boris Johnson aims to remove the Irish border backstop from any final Brexit deal.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Theresa May\",\n",
      "\n",
      "\"tgt_id\": \"Brexit\",\n",
      "\n",
      "\"description\": \"Theresa May failed to get her Withdrawal Agreement through Parliament due to the Irish border backstop.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Boris Johnson\",\n",
      "\n",
      "\"tgt_id\": \"Conservative party\",\n",
      "\n",
      "\"description\": \"Boris Johnson is a member of the Conservative party and its leader.\",\n",
      "\n",
      "\"weight\": 0.6,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"RTE\",\n",
      "\n",
      "\"tgt_id\": \"Boris Johnson\",\n",
      "\n",
      "\"description\": \"RTE reported details of part of Johnson's plan to break the Brexit deadlock.\",\n",
      "\n",
      "\"weight\": 0.5,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "Input Text:  (CNN)Across the sports world, athletes took a stand for Black Lives Matter on Wednesday night by holding an unprecedented wildcat strike and refusing to play their regularly scheduled games.The decision started with the NBA's Milwaukee Bucks and stemmed from the police shooting of Jacob Blake in Kenosha, Wisconsin, on Sunday. The stand quickly spread across a number of sports -- from basketball courts in Florida to baseball diamonds in California to soccer fields in places like Miami and Salt Lake City and even into the broadcast booth, where TNT's \"Inside the NBA\" analyst Kenny Smith took off his mic and walked off stage.But the issue is bigger than Jacob Blake or George Floyd or Breonna Taylor. Malcolm Jenkins of the NFL's New Orleans Saints positioned the protests as a response to the systemic racism baked into America, including police violence, cycles of incarceration, and the plunder of generational wealth.\"Until we continue to demand it, until 'Black Lives Matter' goes from just an idea or a goal that we're trying to attain as a society and is actually realized in the streets, we won't see any peace,\" he said. \"And I think we'll continue to see athletes, entertainers as well as citizens disrupt the status quo until that's recognized.\"Here's a look at the teams and athletes who pulled back in order to have their voices be heard.Read MoreNBA Photos: The sports world has been taking a standMembers of the Los Angeles Lakers and the Miami Heat kneel during the National Anthem before Game 1 of the NBA Finals on Wednesday, September 30.Hide Caption 1 of 42 Photos: The sports world has been taking a standThe Philadelphia Eagles and the Washington Football Team stand together before their NFL season opener on September 13.Hide Caption 2 of 42 Photos: The sports world has been taking a standTyler Wright, a two-time World Surf League Champion, takes a knee before competing in an event in Tweed Heads South, Australia, on September 13.Hide Caption 3 of 42 Photos: The sports world has been taking a standTennis star Naomi Osaka wears a face mask with Tamir Rice's name before winning the US Open final on September 12. Osaka wore a different name for each of her seven matches. Rice, a 12-year-old boy, was killed by police gunfire in Cleveland while he was holding a toy replica pistol in 2014.Hide Caption 4 of 42 Photos: The sports world has been taking a standChelsea's Pernille Harder walks out for a warm-up before a soccer match in Leigh, England, on September 6.Hide Caption 5 of 42 Photos: The sports world has been taking a standThe University of Alabama football team, led by coach Nick Saban, marches on campus in support of the Black Lives Matter movement.Hide Caption 6 of 42 Photos: The sports world has been taking a standBlack Lives Matter signage is seen in New York's Louis Armstrong Stadium as Cori Gauff plays against Anastasija Sevastova at the US Open.Hide Caption 7 of 42 Photos: The sports world has been taking a standMembers of the WNBA's Indiana Fever wear Black Lives Matter shirts before their game against the Chicago Sky on August 31.Hide Caption 8 of 42 Photos: The sports world has been taking a standMiami Marlins outfielder Lewis Brinson walks off the field August 27 after placing a Black Lives Matter T-shirt on home plate in New York. The Marlins and New York Mets walked off the field after a moment of silence, choosing not to play their scheduled baseball game. Hide Caption 9 of 42 Photos: The sports world has been taking a standNew Orleans Saints wide receiver Emmanuel Sanders wears Jacob Blake's name on his helmet during a practice on August 27.Hide Caption 10 of 42 Photos: The sports world has been taking a standThe Washington Mystics pay tribute to Jacob Blake after their WNBA game was postponed in Palmetto, Florida, on August 26.Hide Caption 11 of 42 Photos: The sports world has been taking a standA grounds crew covers the field at San Francisco's Oracle Park after a Major League Baseball game was postponed on August 26.Hide Caption 12 of 42 Photos: The sports world has been taking a standThe Milwaukee Bucks make a statement to the media after boycotting a playoff game on August 26.Hide Caption 13 of 42 Photos: The sports world has been taking a standDuring a practice round for the BMW Championship, pro golfer Cameron Champ used his shoes to show his support for Blake and the Black Lives Matter movement.Hide Caption 14 of 42 Photos: The sports world has been taking a standNBA superstar LeBron James has been one of the most outspoken athletes in recent months. \"Having two boys of my own and me being African American in America and to see what continues to happen with the police brutality towards my kind, continue to see what goes on with just the (unjust), it's very troubling. It's very troubling,\" James told Turner Sports' Jared Greenberg. \"My prayers go to (the Blake) family, and hopefully we can have some change.\" Hide Caption 15 of 42 Photos: The sports world has been taking a stand\"End racism\" banners are shown in Toronto's Scotiabank Arena before an NHL playoff game on August 26.Hide Caption 16 of 42 Photos: The sports world has been taking a standDoc Rivers, head coach of the NBA's Los Angeles Clippers, became emotional while talking about the Blake shooting and the Republican National Convention. \"All you hear is Donald Trump and all of them talking about fear,\" Rivers said. \"We're the ones getting killed. We're the ones getting shot. We're the ones who were denied to live in certain communities. We've been hung. We've been shot.\"Hide Caption 17 of 42 Photos: The sports world has been taking a standDetroit Lions defensive end Trey Flowers addresses the media with his teammates outside their practice facility on August 25. The Lions canceled their practice in light of the Blake shooting, and they discussed the incident in a team meeting that lasted hours. \"We're going to spread our message; we're going to do it as a team,\" Flowers said. \"We understand that somebody's going to try to skew the narrative ... get the message lost, but we're going to stay focused on the topic.\"Hide Caption 18 of 42 Photos: The sports world has been taking a standA Real Salt Lake fan sits in the stands after the Major League Soccer team had its game postponed on August 26.Hide Caption 19 of 42 Photos: The sports world has been taking a standNASCAR driver Bubba Wallace tweeted this selfie before a Cup Series race in Talladega, Alabama, on June 22. Fellow drivers and pit crew members walked alongside Wallace's car to show their support for him. Wallace, the only Black driver in NASCAR's top circuit, has been an outspoken advocate of the Black Lives Matter movement. Hide Caption 20 of 42 Photos: The sports world has been taking a standMembers of the NHL's Colorado Avalanche, Vegas Golden Knights, Dallas Stars and Vancouver Canucks gather together after their playoff games were postponed in Edmonton, Alberta.Hide Caption 21 of 42 Photos: The sports world has been taking a standThe Black Lives Matter protests haven't been limited to just North America. Here, professional soccer players from Aston Villa and Sheffield United take a knee as their match kicked off in Birmingham, England, on June 17. Premier League teams sported the words \"Black Lives Matter\" on the back of their jerseys when their seasons resumed.Hide Caption 22 of 42 Photos: The sports world has been taking a standFormula One champion Lewis Hamilton raises his fist before a race in Northampton, England, on August 9.Hide Caption 23 of 42 Photos: The sports world has been taking a standMatt Dumba of the Minnesota Wild kneels during the US National Anthem as it is played before an NHL game in Edmonton, Alberta, on August 1. Dumba, a member of the Hockey Diversity Alliance, gave a short speech before kneeling. He is circled by members of the Edmonton Oilers and the Chicago Blackhawks, who were about to play on the first day of the NHL's return.Hide Caption 24 of 42 Photos: The sports world has been taking a standSoccer players from PSG and Lyon take a knee before a Champions League semifinal in Bilbao, Spain, on August 26.Hide Caption 25 of 42 Photos: The sports world has been taking a standBeach volleyball player April Ross wears a temporary Black Lives Matter tattoo during a match in Long Beach, California, on July 19.Hide Caption 26 of 42 Photos: The sports world has been taking a standTennis players Dan Evans and Kyle Edmund join match umpire James Keothavong in taking a knee in London on June 28.Hide Caption 27 of 42 Photos: The sports world has been taking a standCricketers with the Kent Spitfires take a knee during a match in Canterbury, England.Hide Caption 28 of 42 Photos: The sports world has been taking a standFormula One driver Kimi Raikkonen wears an \"end racism\" shirt before a race in Barcelona, Spain, on August 16.Hide Caption 29 of 42 Photos: The sports world has been taking a standMembers of the Trinbago Knight Riders kneel before a cricket match in Port of Spain, Trinidad and Tobago.Hide Caption 30 of 42 Photos: The sports world has been taking a standThe Washington Nationals observe a moment of silence before Major League Baseball's opening game on July 23. Their opponents, The New York Yankees, also took a knee, and the initials BLM were on the pitcher's mound for the game.Hide Caption 31 of 42 Photos: The sports world has been taking a standMajor League Soccer players participate in a pregame ceremony before the league's restart on July 8.Hide Caption 32 of 42 Photos: The sports world has been taking a standHouston Dynamo goalkeeper Cody Cropper warms up in a Black Lives Matter T-shirt on August 25.Hide Caption 33 of 42 Photos: The sports world has been taking a standThe Boston Red Sox Foundation put this sign behind Fenway Park's famous \"Green Monster\" outfield wall.Hide Caption 34 of 42 Photos: The sports world has been taking a standRugby players from Bath and Northampton show their support before a game in Northampton, England.Hide Caption 35 of 42 Photos: The sports world has been taking a standKansas City outfielder Jorge Soler catches a ball in front of a George Floyd sign in Minneapolis on August 15.Hide Caption 36 of 42 Photos: The sports world has been taking a standA Houston Dash player wears a Black Lives Matter armband before a NWSL match in Herriman, Utah, on July 17.Hide Caption 37 of 42 Photos: The sports world has been taking a standAfter winning the Champions League, Bayern Munich defender David Alaba wears a shirt that says \"Black Lives Still Matter.\"Hide Caption 38 of 42 Photos: The sports world has been taking a standA Black Lives Matter sign is seen during a Major League Soccer match in Harrison, New Jersey, on August 24.Hide Caption 39 of 42 Photos: The sports world has been taking a standMembers of the San Antonio Spurs huddle before a game against Sacramento on July 31.Hide Caption 40 of 42 Photos: The sports world has been taking a standKilmarnock manager Alex Dyer, second from right, takes a knee before a soccer match in Glasgow, Scotland.Hide Caption 41 of 42 Photos: The sports world has been taking a standMembers of the Orlando Magic and Brooklyn Nets kneel during the National Anthem before the start of an NBA game on July 31.Hide Caption 42 of 42The Milwaukee Bucks did not emerge from their locker room before the scheduled tip at 4 p.m. Wednesday as they decided to refuse to play their playoff game.Soon after, the NBA announced it would postpone Game 5 of three different playoff series -- the Bucks vs. Orlando Magic, Houston Rockets vs. Oklahoma City Thunder and Los Angeles Lakers vs. Portland Trail Blazers.The postponed games have not yet been rescheduled.Three playoff games on Thursday also were postponed but the league said it hoped to resume games Friday or Saturday. Strikes are banned under the NBA's collective bargaining agreement, which means the Bucks players broke their own contract to protest racial injustice and police violence. In a statement issued on Wednesday afternoon, the Bucks players said they are \"calling for justice for Jacob Blake and demand the officers be held accountable. \"Full statement from the Milwaukee Bucks: pic.twitter.com/jjGEyVcCmB— Milwaukee Bucks (@Bucks) August 26, 2020\n",
      "\n",
      "\"The past four months have shed a light on the ongoing racial injustices facing our African American communities. Citizens around the country have used their voices and platforms to speak out against these wrongdoings,\" they said in a statement.\"Despite the overwhelming plea for change, there has been no action, so our focus today cannot be on basketball.\"The Los Angeles Lakers also offered a statement in support of the players' decision.\"Eighty percent of NBA players are Black men. We cannot love them for the joy and entertainment that they bring to the world, yet sit in silence and fail to use our platforms and resources to amplify their voices when they demand the justice and equality that America has promised us all, but denied Black people for too long,\" the Lakers said.WNBAElizabeth Williams of the Atlanta Dream said WNBA players were standing in solidarity with \"our brothers in the NBA.\"Representing the six teams slated to play on Wednesday, Atlanta Dream player Elizabeth Williams announced that WNBA players were standing in solidarity with \"our brothers in the NBA\" and also would not play. The ESPN2 broadcast showed players from the six teams scheduled to take the court in locked arms and kneeling while wearing shirts spelling out Jacob Blake's name. The WNBA announced that the three games scheduled for Wednesday evening had been postponed. On Thursday, the league announced the postponement of the day's three scheduled games as well.Instead of playing Thursday, the entire league of WNBA players stood arm-in-arm in solidarity.\"It is important to note that this is not a strike,\" said Women's National Basketball Players Association (WNBPA) president and Los Angeles Sparks star Nneka Ogwumike, reading a statement from the players, to ESPN's Holly Rowe. \"This is not a boycott. This is affirmatively a day of reflection. A day of informed action and mobilization.\"Ogwumike said players plan to play in games that are scheduled for Friday.\"I feel like as a group we decided last night that we want to play,\" Ogwumike said. \"There are games scheduled tomorrow. That's what we're ready to do, but that doesn't come without, of course, demands of players to continue to amplify our voices in more ways than when we came here.\"We realize that the work is not easy, but we also understand that the work is never done. There are things that happen that just allow us times to take a moment -- that's fair; we can take a moment -- and that moment we came together and we decided we need time for ourselves to come back, regroup and continue to amplify our voices, and be there for our communities and demand change from the leaders that are representing us right now.\"MLBThe words 'Black Lives Matter' are displayed on the digital screen after the postponement of the game between the San Francisco Giants and the Los Angeles Dodgers Wednesday.Three MLB games were postponed Wednesday: Cincinnati Reds vs. Milwaukee Brewers, Seattle Mariners vs. San Diego Padres, Los Angeles Dodgers vs. San Francisco Giants.\"With our community and our nation in such pain, we wanted to draw as much attention to the issues that really matter, especially racial injustice and systemic oppression,\" a joint statement from the Brewers and Reds said.\"Given the pain in the communities of Wisconsin and beyond following the shooting of Jacob Blake, we respect the decisions of a number of players not to play tonight,\" a league statement Wednesday said. \"Major League Baseball remains united for change in our society and we will be allies in the fight to end racism and injustice.\"Mets player Dominic Smith, who is Black, was driven to tears on Wednesday, telling reporters after the Mets defeated the Marlins, \"I think the most difficult part is to see people still don't care. And for this to continuously happen it just shows just the hate in people's heart and that just sucks. Being a Black man in America is not easy.\"On Thursday, seven games would not take place: Minnesota Twins vs. Detroit Tigers, Colorado Rockies vs. Arizona Diamondbacks, Baltimore Orioles vs. Tampa Bay Rays, Oakland Athletics vs. Texas Rangers, Philadelphia Phillies vs. Washington Nationals, Boston Red Sox vs. Toronto Blue Jays and Miami Marlins vs. New York Mets.Athletes across US sports take a stand, as games are called off in solidarity with Bucks' boycottIn a powerful moment Thursday at Citi Field in New York, the Mets starting defense took the field as scheduled, and then the remaining players for both teams came out of their dugouts and a moment of silence was observed, which the SNY television broadcast said lasted 42 seconds, and then walked off the field.Before he left the field, Miami Marlins player Lewis Brinson laid a \"Black Lives Matter\" shirt at home plate.\"Enough,\" the Marlins tweeted.Enough. pic.twitter.com/25SnNMCfBu— Miami Marlins (@Marlins) August 27, 2020 MLB is scheduled to observe Jackie Robinson Day on Friday to honor the color-barrier-breaking Hall of Famer, who wore number 42.NFLSeveral National Football League teams canceled practice Thursday to focus on conversations about race.The Denver Broncos joined the Arizona Cardinals, Indianapolis Colts, Washington Football Team and New York Jets in forgoing practice to allow players to weigh in on what they can do to effect change.The Chicago Bears said in a statement Thursday that the organization had decided to pause football activities \"to voice to each other, our coaches and our staff where we stand on the real issues around race and police brutality in our country.\"\"We had a productive discussion, but we all agreed that talks and discussions are simply not enough anymore and we need action,\" the statement said. \"We are putting in plans to take action in our communities and together we believe we can make a real difference. We need action not only today, but in the days to come.\"MLSInter Miami midfielder Lee Nguyen exits the field after Inter Miami and Atlanta United players decided not to play.Five Major League Soccer games scheduled to take place on Wednesday night were postponed, the league announced.\"The entire Major League Soccer family unequivocally condemns racism and has always stood for equality, but we need to do more to take tangible steps to impact change,\" MLS said. \"We will continue to work without players, our clubs and the broader soccer community to harness our collective power to fight for equality and social justice.\"TennisTennis superstar Naomi Osaka announced Wednesday that she would not play in the Western & Southern Open semifinals on Thursday. \"Watching the continued genocide of Black people at the hand of the police is honestly making me sick to my stomach,\" she wrote.Later on Wednesday, after Osaka's post, it was announced that the Western & Southern Open would pause tournament play on Thursday, resuming on Friday.By Thursday, a statement by her management team to The Guardian and The New York Times indicated she planned to play Friday instead.\"They offered to postpone all matches until Friday and in my mind that brings more attention to the movement,\" Osaka said. She also thanked the WTA and the tournament for their support.A WTA spokesperson tells CNN that Osaka did not officially withdraw from the Western & Southern Open on Wednesday. She is scheduled to play Elise Mertens in the semifinals on Friday.NHLThe NHL's Stanley Cup Playoffs continued Wednesday with two games. However, the league opted to postpone two games scheduled for Thursday and two scheduled for Friday.\"After much discussion, NHL Players believe that the best course of action would be to take a step back and not play tonight's and tomorrow's games as scheduled,\" a Thursday joint statement from the league and the players association said. \"The NHL supports the Players' decision and will reschedule those four games beginning Saturday and adjust the remainder of the Second Round schedule accordingly. \"Black and Brown communities continue to face real, painful experiences. The NHL and NHLPA recognize that much work remains to be done before we can play an appropriate role in a discussion centered on diversity, inclusion and social justice.\"Before the start of Game 3 of the second-round series between the Tampa Bay Lightning and Boston Bruins on Wednesday, there was a moment of reflection for racism in response to the Blake shooting.CNN's Ray Sanchez, Eric Levenson and Cesar Marin contributed to this report.\n",
      "Entity Types: ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY']\n",
      "Reasoning: Let's think step by step in order to produce the entities_relationships. We will first identify the entities in the text based on the provided entity types. Then, we will determine the relationships between these entities, focusing on the interactions and associations described in the text. Finally, we will format the entities and relationships according to the specified JSON schema.\n",
      "Entities Relationships: ```json\n",
      "\n",
      "{\n",
      "\n",
      "\"value\": [\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Milwaukee Bucks\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"An NBA team that initiated the wildcat strike.\",\n",
      "\n",
      "\"importance_score\": 0.9\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Jacob Blake\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A person who was shot by police, leading to the sports world's protest.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Kenosha, Wisconsin\",\n",
      "\n",
      "\"entity_type\": \"LOCATION\",\n",
      "\n",
      "\"description\": \"The location where Jacob Blake was shot by police.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"NBA\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The National Basketball Association, which saw multiple teams participating in the strike.\",\n",
      "\n",
      "\"importance_score\": 0.8\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Los Angeles Lakers\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"An NBA team that supported the strike.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"WNBA\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"The Women's National Basketball Association, which also participated in the strike.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Major League Baseball (MLB)\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A professional baseball organization where games were postponed in solidarity.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"National Football League (NFL)\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A professional football league where teams canceled practices to discuss racial issues.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Major League Soccer (MLS)\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A professional soccer league where games were postponed in solidarity.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"Naomi Osaka\",\n",
      "\n",
      "\"entity_type\": \"PERSON\",\n",
      "\n",
      "\"description\": \"A tennis superstar who refused to play in a tournament to protest racial injustice.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"entity_name\": \"National Hockey League (NHL)\",\n",
      "\n",
      "\"entity_type\": \"ORGANIZATION\",\n",
      "\n",
      "\"description\": \"A professional hockey league where games were postponed in solidarity.\",\n",
      "\n",
      "\"importance_score\": 0.7\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Milwaukee Bucks\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The Milwaukee Bucks initiated a wildcat strike in the NBA.\",\n",
      "\n",
      "\"weight\": 0.9,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Milwaukee Bucks\",\n",
      "\n",
      "\"tgt_id\": \"Jacob Blake\",\n",
      "\n",
      "\"description\": \"The Milwaukee Bucks' strike was in response to the police shooting of Jacob Blake.\",\n",
      "\n",
      "\"weight\": 0.8,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Los Angeles Lakers\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The Los Angeles Lakers supported the strike in the NBA.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"WNBA\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The WNBA stood in solidarity with the NBA during the strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Major League Baseball (MLB)\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The MLB postponed games in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"National Football League (NFL)\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The NFL canceled practices to discuss racial issues in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Major League Soccer (MLS)\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The MLS postponed games in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"Naomi Osaka\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"Naomi Osaka refused to play in a tournament in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "},\n",
      "\n",
      "{\n",
      "\n",
      "\"src_id\": \"National Hockey League (NHL)\",\n",
      "\n",
      "\"tgt_id\": \"NBA\",\n",
      "\n",
      "\"description\": \"The NHL postponed games in solidarity with the NBA strike.\",\n",
      "\n",
      "\"weight\": 0.7,\n",
      "\n",
      "\"order\": 1\n",
      "\n",
      "}\n",
      "\n",
      "]\n",
      "\n",
      "}\n",
      "\n",
      "```\n",
      "\n",
      "\n",
      "BASIC INSTRUCTION: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "TIP: Make sure your instruction is very informative and descriptive.\n",
      "\n",
      "Please provide the output field PROPOSED INSTRUCTION. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with only the field PROPOSED INSTRUCTION.\n",
      "\n",
      "\u001b[32mPROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, your task is to meticulously extract entities and their relationships from the text. First, identify all entities in the text that match the provided entity types. Then, analyze the context to determine the relationships between these entities, considering their interactions and dependencies within the text. Finally, format the identified entities and their relationships according to the specified JSON schema, ensuring all fields are accurately populated with relevant details such as entity names, types, descriptions, and importance scores for entities, and source IDs, target IDs, descriptions, weights, and orders for relationships.\u001b[0m\n",
      "\n",
      "\n",
      "\n",
      "PROPOSED INSTRUCTION: Given the `input_text` and a list of `entity_types`, your task is to meticulously extract entities and their relationships from the text. First, identify all entities in the text that match the provided entity types. Then, analyze the context to determine the relationships between these entities, considering their interactions and dependencies within the text. Finally, format the identified entities and their relationships according to the specified JSON schema, ensuring all fields are accurately populated with relevant details such as entity names, types, descriptions, and importance scores for entities, and source IDs, target IDs, descriptions, weights, and orders for relationships.\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, meticulously extract and identify all entities and their relationships within the text. Ensure that each entity is accurately classified according to the provided entity types, and clearly define the relationships between entities, including their descriptions, weights, and orders. Provide a step-by-step reasoning process to justify the extraction and classification of each entity and relationship.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.0 / 1  (100.0):   4%|▍         | 1/25 [00:50<20:21, 50.90s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.7333333333333334 / 3  (91.1):  12%|█▏        | 3/25 [01:03<05:42, 15.57s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.7333333333333334 / 4  (93.3):  16%|█▌        | 4/25 [01:18<05:16, 15.08s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.622222222222222 / 5  (92.4):  20%|██        | 5/25 [01:19<03:22, 10.10s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.288888888888889 / 6  (88.1):  24%|██▍       | 6/25 [01:20<02:14,  7.11s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.9 / 7  (84.3):  28%|██▊       | 7/25 [01:22<01:37,  5.42s/it]              INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.358333333333333 / 8  (79.5):  32%|███▏      | 8/25 [01:25<01:18,  4.60s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.233333333333333 / 9  (80.4):  36%|███▌      | 9/25 [01:26<00:57,  3.59s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 8.233333333333334 / 10  (82.3):  40%|████      | 10/25 [01:49<02:19,  9.33s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 8.833333333333334 / 11  (80.3):  44%|████▍     | 11/25 [01:51<01:42,  7.32s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.770833333333334 / 12  (81.4):  48%|████▊     | 12/25 [01:55<01:20,  6.17s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 10.770833333333334 / 13  (82.9):  52%|█████▏    | 13/25 [01:59<01:05,  5.44s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 20.914880952380955 / 25  (83.7): 100%|██████████| 25/25 [03:10<00:00,  7.62s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:40:14.752404Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 20.914880952380955 / 25 (83.7%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.9375 / 1  (93.8): 100%|██████████| 1/1 [00:00<00:00, 2849.39it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:40:14.777811Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.9375 / 1 (93.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 83.66\n",
      "Best Combination: 1,{0: [[], [Example({'input_text': ' (CNN)Roger Federer thinks the professional tennis circuit won\\'t return for a while due to the coronavirus pandemic but, when the time does come, the Swiss superstar said he would find it difficult to play without fans. While European football\\'s Bundesliga resurfaced last week behind closed doors and Spain\\'s La Liga is set to resume the middle of next month, the last official word from tennis authorities essentially saw all action suspended through July. The hiatus began in March, with Federer already sidelined since he was recuperating from knee surgery. Sunday would have marked the first day of the French Open in its usual spot on the tennis calendar -- in March, though, it was rescheduled for September -- and another grand slam, Wimbledon in July, was called off. \"I\\'m not training at the moment because I don\\'t see a reason for that to be honest,\" Federer told three-time French Open champion Gustavo Kuerten -- who is raising funds for coronavirus relief efforts in his native Brazil -- in a video interview reported by Tennis.com.Read More\"I am happy with my body now and I still believe that the return of the tour\\xa0is a long way off,\" continued the 38-year-old. \"And I think it\\'s important\\xa0mentally to enjoy this break, having played so much tennis.\\xa0\"When I\\'m getting towards returning and have a goal to train for, I think I will be super motivated.\"We should be sliding into @rolandgarros right now, thinking of our mates in Paris 👋 pic.twitter.com/0PLKryyIjj— #AusOpen (@AustralianOpen) May 24, 2020 Federer is arguably tennis\\' best supported player ever, and the prospect of competing without spectators doesn\\'t appeal to him. \"Most of the time when we are training, there is no one,\" said the men\\'s record 20-time grand slam champion. \"For us, of course, it is possible to play if there are no fans. But on the other hand, I really hope that the circuit can return as it normally is. \"And hold off till the time is appropriate, minimum\\xa0a third of the stadium or half full. But, for me, completely empty when playing big tournaments is very difficult.\"Federer has been active on social media during the lockdown, sparking a public discussion on the merging of the men\\'s and women\\'s tours with a tweet last month and embarking on a funny Instagram Live with tennis rival Rafael Nadal.Nadal, unlike Federer, has started practicing, though only very recently. The Spaniard would have been favored to win a 20th major and tie Federer had the French Open been played as usual given he has collected a record 12 titles at Roland Garros. Here I am, the first pictures I am posting for you on court. This is my practice earlier today at @rnadalacademy #BackOnCourt #BabolatFamily 🎾👍🏻💪🏻😉 pic.twitter.com/x7tzgLj9pc— Rafa Nadal (@RafaelNadal) May 22, 2020 The next grand slam is scheduled to be late August\\'s US Open in New York, with organizers expected to announce in June if it will go ahead.  ', 'entities': [{'entity_name': 'ROGER FEDERER', 'entity_type': 'PERSON', 'description': \"Swiss tennis superstar who thinks the professional tennis circuit won't return for a while due to the coronavirus pandemic.\", 'importance_score': 1.0}, {'entity_name': 'GUSTAVO KUERTEN', 'entity_type': 'PERSON', 'description': 'Three-time French Open champion who is raising funds for coronavirus relief efforts in his native Brazil.', 'importance_score': 0.8}, {'entity_name': 'RAFAEL NADAL', 'entity_type': 'PERSON', 'description': 'Tennis rival of Roger Federer who has started practicing recently.', 'importance_score': 0.9}, {'entity_name': 'FRENCH OPEN', 'entity_type': 'EVENT', 'description': 'A grand slam tennis tournament that was rescheduled for September.', 'importance_score': 0.7}, {'entity_name': 'WIMBLEDON', 'entity_type': 'EVENT', 'description': 'A grand slam tennis tournament in July that was called off.', 'importance_score': 0.7}, {'entity_name': 'US OPEN', 'entity_type': 'EVENT', 'description': 'A grand slam tennis tournament scheduled for late August in New York.', 'importance_score': 0.7}, {'entity_name': 'ROLAND GARROS', 'entity_type': 'LOCATION', 'description': 'The location where the French Open is usually held.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'ROGER FEDERER', 'tgt_id': 'GUSTAVO KUERTEN', 'description': 'Roger Federer discussed the return of the tennis tour with Gustavo Kuerten in a video interview.', 'weight': 0.8, 'order': 1}, {'src_id': 'ROGER FEDERER', 'tgt_id': 'RAFAEL NADAL', 'description': 'Roger Federer has engaged in social media discussions and a funny Instagram Live with tennis rival Rafael Nadal.', 'weight': 0.9, 'order': 1}, {'src_id': 'ROGER FEDERER', 'tgt_id': 'FRENCH OPEN', 'description': 'Roger Federer mentioned the rescheduling of the French Open in September.', 'weight': 0.7, 'order': 1}, {'src_id': 'ROGER FEDERER', 'tgt_id': 'WIMBLEDON', 'description': 'Roger Federer mentioned the cancellation of Wimbledon.', 'weight': 0.7, 'order': 1}, {'src_id': 'RAFAEL NADAL', 'tgt_id': 'FRENCH OPEN', 'description': 'Rafael Nadal would have been favored to win the French Open if it had been played as usual.', 'weight': 0.8, 'order': 1}, {'src_id': 'RAFAEL NADAL', 'tgt_id': 'US OPEN', 'description': \"Rafael Nadal's practice is in preparation for the upcoming US Open.\", 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)A ban on cellphones in classrooms was announced in the Australian state of Victoria on Wednesday. The ban, which will apply to primary and secondary students, is designed to crack down on cyber-bulling and classroom distractions, the Victorian government said in a statement. While some schools in Australia have already banned cell-phone use, this marks the first statewide ban in the country. It will begin from the first school term of 2020.\"Students will be required to switch off their phones and store them securely in lockers from the start of the school day until the final bell. When emergencies occur, parents or guardians can reach their child by calling the school,\" the statement said.Victoria Education Minister James Merlino said he didn\\'t expect the move to be \"universally popular\" but said it was the \"right thing to do\" on his official social media. Read MoreA report says young people are growing horns on their skulls. Critics don\\'t buy itThe move isn\\'t without precedent. Australia\\'s largest state, New South Wales, banned mobile phones in primary schools in 2018, and France has banned all smart phones and smart devices from schools.Australian Education Minister Dan Tehan said in a statement that he supported the Victoria ban.\"When I talk to parents and teachers the overwhelming majority want action on banning mobile phones in the classroom,\" Tehan said in a statement. In a 2019 survey of about 2,000 Australian adults, by Monash University professor Neil Selywn, almost 80% supported a restriction on cell-phone use in schools, while one-third supported an outright ban.Ann Marie, a secondary school principal at a college in Victoria, told ABC Radio Melbourne that pupils at her school had agreed to restrict their mobile phone use during the day, explaining that they hoped to reduce \"bullying, distraction and one-upmanship.\"But there have been some concerns. The Australian Education Union Victoria said in a statement that while it supports the ban: \"We can\\'t lose sight of the benefits that technology, including mobile phones, can bring to high quality teaching and learning.\"Some pupils with special needs will be exempt from the ban, including those who require telephones to monitor health conditions or those who have received permission from a teacher.  ', 'entities': [{'entity_name': 'VICTORIA', 'entity_type': 'LOCATION', 'description': 'The Australian state of Victoria where the cellphone ban in classrooms was announced.', 'importance_score': 0.9}, {'entity_name': 'JAMES MERLINO', 'entity_type': 'PERSON', 'description': 'Victoria Education Minister who announced the cellphone ban in classrooms.', 'importance_score': 0.8}, {'entity_name': 'NEW SOUTH WALES', 'entity_type': 'LOCATION', 'description': \"Australia's largest state that previously banned mobile phones in primary schools.\", 'importance_score': 0.7}, {'entity_name': 'FRANCE', 'entity_type': 'LOCATION', 'description': 'Country that has banned all smart phones and smart devices from schools.', 'importance_score': 0.6}, {'entity_name': 'DAN TEHAN', 'entity_type': 'PERSON', 'description': 'Australian Education Minister who supported the Victoria ban.', 'importance_score': 0.7}, {'entity_name': 'MONASH UNIVERSITY', 'entity_type': 'ORGANIZATION', 'description': 'University where a survey was conducted about cell-phone use in schools.', 'importance_score': 0.6}, {'entity_name': 'NEIL SELWYN', 'entity_type': 'PERSON', 'description': 'Professor at Monash University who conducted the survey about cell-phone use in schools.', 'importance_score': 0.6}, {'entity_name': 'ANN MARIE', 'entity_type': 'PERSON', 'description': 'Secondary school principal at a college in Victoria who discussed the cellphone ban.', 'importance_score': 0.6}, {'entity_name': 'AUSTRALIAN EDUCATION UNION VICTORIA', 'entity_type': 'ORGANIZATION', 'description': 'Union that supports the cellphone ban but also acknowledges the benefits of technology in teaching.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'JAMES MERLINO', 'tgt_id': 'VICTORIA', 'description': 'James Merlino, the Victoria Education Minister, announced a ban on cellphones in classrooms in the state of Victoria.', 'weight': 0.9, 'order': 1}, {'src_id': 'DAN TEHAN', 'tgt_id': 'VICTORIA', 'description': 'Dan Tehan, the Australian Education Minister, supported the cellphone ban in the state of Victoria.', 'weight': 0.8, 'order': 2}, {'src_id': 'MONASH UNIVERSITY', 'tgt_id': 'NEIL SELWYN', 'description': 'Neil Selwyn, a professor at Monash University, conducted a survey about cell-phone use in schools.', 'weight': 0.7, 'order': 1}, {'src_id': 'ANN MARIE', 'tgt_id': 'VICTORIA', 'description': 'Ann Marie, a secondary school principal in Victoria, discussed the cellphone ban in her school.', 'weight': 0.7, 'order': 1}, {'src_id': 'AUSTRALIAN EDUCATION UNION VICTORIA', 'tgt_id': 'VICTORIA', 'description': 'The Australian Education Union Victoria supports the cellphone ban in the state of Victoria.', 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsF1 drivers threaten to boycott German GP over tire safety Their association expresses grave concerns over events at SilverstoneFive drivers suffered tire failures in British Grand PrixFernando Alonso says they have to place trust in tire manufacturer Pirelli Formula One drivers threatened to boycott the German GP this weekend if the tire problems which blighted the British round at Silverstone are repeated.The Grand Prix Drivers\\' Association (GPDA) issued a statement after a meeting Thursday to \"express their deepest concerns\" over the events Sunday which saw five drivers, including race leader Lewis Hamilton, suffer high speed blow outs.Manufacturer Pirelli promised prompt action after the chaotic scenes and new tires will be used, which feature a Kevlar belt rather than the steel one previously used, apparently offering better protection from punctures.Teams have also been banned from tire swapping and have been told to adhere to limits on tire pressures.Read: Rosberg reigns amid tire chaos JUST WATCHEDItalian \\'passion\\' drives Pirelli growthReplayMore Videos ...MUST WATCHItalian \\'passion\\' drives Pirelli growth 04:05JUST WATCHEDPirelli tires: Ready to rollReplayMore Videos ...MUST WATCHPirelli tires: Ready to roll 03:06JUST WATCHEDBurning rubber on the BhosphorousReplayMore Videos ...MUST WATCHBurning rubber on the Bhosphorous 05:41JUST WATCHEDEngines on, Formula 1 returns!ReplayMore Videos ...MUST WATCHEngines on, Formula 1 returns! 03:58\"We trust that the changes made to the tires will have the desired results and that similar problems will not occur during the German GP weekend,\" said the GPDA. \"We are ready to drive our cars to the limit, as we always do, and as it is expected by our teams, sponsors and fans.\" Aside from Hamilton, who battled back to fourth place behind victorious Mercedes teammate Nico Rosberg, Felipe Massa, Jean-Eric Vergne, Sergio Perez and Esteban Gutierrez were also affected, with four of the drivers suffering the same left rear tire blow out.The stars of the grid said that if similar events manifested themselves at Nurburgring then they would not hesitate to pull out of the race.\"We shall immediately withdraw from the event, as this avoidable problem with the tires endangers again the lives of drivers, marshals and fans,\" ended the statement.Read: Pirelli comes out fighting over tire controversy Earlier, Ferrari ace Fernando Alonso, who narrowly avoided serious injury when debris from Perez\\'s puncture nearly hit him at high speed, said he was keeping his fingers crossed that the problems will be eradicated by the new measures introduced by Pirelli.\"At the moment, we can\\'t make any predictions, because no one has tried them and we don\\'t know what and how many benefits they can bring, apart from trusting in the fact that it won\\'t be dangerous to race, \" he told the official Ferrari website.\"Let\\'s hope that means all drivers can race in safe conditions,\" he added.Alonso, second in the title race, will be hoping the triple defending champion Sebastian Vettel will extend his run of failing to win his home grand prix, despite his incredible success of recent seasons in the Red Bull.The 26-year-old German secured his first podium finish in F1 at the 2009 race but has not improved on that result.\"Surely, it is special,\" he said. \"In terms of championship points, it is the same as every other place, but it is something special to race in front of  your home crowd,\" he told the official F1 website.Friday sees the first practice runs on the famous circuit and the first chance to see if any further tire problems arise after last Sunday\\'s worrying scenes.', 'entities': [{'entity_name': 'LEWIS HAMILTON', 'entity_type': 'PERSON', 'description': 'Race leader who suffered a high-speed blowout during the British Grand Prix.', 'importance_score': 0.9}, {'entity_name': 'NICO ROSBERG', 'entity_type': 'PERSON', 'description': 'Mercedes teammate of Lewis Hamilton who won the British Grand Prix.', 'importance_score': 0.8}, {'entity_name': 'FERNANDO ALONSO', 'entity_type': 'PERSON', 'description': 'Ferrari ace who narrowly avoided serious injury due to tire failure.', 'importance_score': 0.8}, {'entity_name': 'SEBASTIAN VETTEL', 'entity_type': 'PERSON', 'description': 'Triple defending champion who has not won his home grand prix.', 'importance_score': 0.7}, {'entity_name': 'PIRELLI', 'entity_type': 'ORGANIZATION', 'description': 'Tire manufacturer that promised prompt action after the chaotic scenes at the British Grand Prix.', 'importance_score': 0.9}, {'entity_name': \"GRAND PRIX DRIVERS' ASSOCIATION (GPDA)\", 'entity_type': 'ORGANIZATION', 'description': 'Association that issued a statement expressing deepest concerns over tire safety.', 'importance_score': 0.8}, {'entity_name': 'GERMAN GP', 'entity_type': 'EVENT', 'description': 'Upcoming event that Formula One drivers threatened to boycott if tire problems are repeated.', 'importance_score': 0.9}, {'entity_name': 'BRITISH GRAND PRIX', 'entity_type': 'EVENT', 'description': 'Event where five drivers suffered tire failures.', 'importance_score': 0.9}], 'relationships': [{'src_id': 'LEWIS HAMILTON', 'tgt_id': 'PIRELLI', 'description': 'Lewis Hamilton suffered a high-speed blowout using Pirelli tires.', 'weight': 0.9, 'order': 1}, {'src_id': 'NICO ROSBERG', 'tgt_id': 'BRITISH GRAND PRIX', 'description': 'Nico Rosberg won the British Grand Prix.', 'weight': 0.8, 'order': 1}, {'src_id': 'FERNANDO ALONSO', 'tgt_id': 'PIRELLI', 'description': 'Fernando Alonso narrowly avoided serious injury due to Pirelli tire failure.', 'weight': 0.8, 'order': 1}, {'src_id': 'SEBASTIAN VETTEL', 'tgt_id': 'GERMAN GP', 'description': 'Sebastian Vettel has not won his home grand prix, the German GP.', 'weight': 0.7, 'order': 1}, {'src_id': \"GRAND PRIX DRIVERS' ASSOCIATION (GPDA)\", 'tgt_id': 'PIRELLI', 'description': 'The GPDA issued a statement expressing concerns over Pirelli tire safety.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men\\'s elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that\\'s why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it\\'s also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge\\'s world record time two years ago. Bekele catches his breath after this year\\'s Berlin Marathon. Despite expectations that he could challenge Kipchoge\\'s record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night\\'s sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It\\'s a little bit tough for me because the day before also I couldn\\'t sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I\\'ve recovered well ... At this moment, I\\'m really strong. I hope I\\'ll achieve a good result on Sunday.\"For race organizers, who called off last year\\'s New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele\\'s 5,000m world record stood for 16 years before it was broken by Uganda\\'s Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has \\'the qualities of an ascetic monk\\'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya\\'s Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance\\'s two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city\\'s five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It\\'s more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands\\' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women\\'s race is headlined by Kenya\\'s Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA\\'s Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he\\'s grateful to be able to race in New York following the pandemic and last year\\'s cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"', 'entities': [{'entity_name': 'KENENISA BEKELE', 'entity_type': 'PERSON', 'description': 'Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.', 'importance_score': 1.0}, {'entity_name': 'NEW YORK CITY MARATHON', 'entity_type': 'EVENT', 'description': 'Annual marathon race held in New York City, returning after a two-year hiatus due to the pandemic.', 'importance_score': 0.9}, {'entity_name': 'ELIUD KIPCHOGE', 'entity_type': 'PERSON', 'description': 'Marathon world record holder and considered one of the greatest male distance runners of all time.', 'importance_score': 0.8}, {'entity_name': 'BERLIN MARATHON', 'entity_type': 'EVENT', 'description': 'Annual marathon race held in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.', 'importance_score': 0.7}, {'entity_name': 'ADBI NAGEEYE', 'entity_type': 'PERSON', 'description': 'Dutch runner who won the silver medal at the Olympics in Sapporo.', 'importance_score': 0.6}, {'entity_name': 'KIBIWOTT KANDIE', 'entity_type': 'PERSON', 'description': 'Kenyan runner and half marathon world record holder, making his marathon debut.', 'importance_score': 0.6}, {'entity_name': 'PERES JEPCHIRCHIR', 'entity_type': 'PERSON', 'description': \"Kenyan runner and gold medalist at the Olympics, headlining the women's race.\", 'importance_score': 0.6}, {'entity_name': 'MOLLY SEIDEL', 'entity_type': 'PERSON', 'description': \"American runner and Olympic bronze medalist, competing in the women's race.\", 'importance_score': 0.6}, {'entity_name': 'SHALANE FLANAGAN', 'entity_type': 'PERSON', 'description': 'American runner attempting to run six marathons in 42 days, including the New York City Marathon.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'KENENISA BEKELE', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': 'Kenenisa Bekele is competing in the New York City Marathon, aiming to make more history in his storied career.', 'weight': 0.9, 'order': 1}, {'src_id': 'KENENISA BEKELE', 'tgt_id': 'BERLIN MARATHON', 'description': 'Kenenisa Bekele had a disappointing outing six weeks ago at the Berlin Marathon.', 'weight': 0.7, 'order': 1}, {'src_id': 'KENENISA BEKELE', 'tgt_id': 'ELIUD KIPCHOGE', 'description': 'Kenenisa Bekele is often compared to Eliud Kipchoge, another legendary distance runner.', 'weight': 0.8, 'order': 2}, {'src_id': 'NEW YORK CITY MARATHON', 'tgt_id': 'BERLIN MARATHON', 'description': 'Both the New York City Marathon and the Berlin Marathon are significant events in the marathon circuit.', 'weight': 0.7, 'order': 2}, {'src_id': 'ADBI NAGEEYE', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': 'Adbi Nageeye is competing in the New York City Marathon, having won the silver medal at the Olympics.', 'weight': 0.6, 'order': 1}, {'src_id': 'KIBIWOTT KANDIE', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': 'Kibiwott Kandie is making his marathon debut in the New York City Marathon.', 'weight': 0.6, 'order': 1}, {'src_id': 'PERES JEPCHIRCHIR', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': \"Peres Jepchirchir is headlining the women's race in the New York City Marathon.\", 'weight': 0.6, 'order': 1}, {'src_id': 'MOLLY SEIDEL', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': \"Molly Seidel is competing in the women's race of the New York City Marathon.\", 'weight': 0.6, 'order': 1}, {'src_id': 'SHALANE FLANAGAN', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': 'Shalane Flanagan is aiming to complete her challenge of running six marathons in 42 days, with the New York City Marathon being the final one.', 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)A federal jury has awarded $85 million to the family of a California man who died in 2015 after a confrontation with San Diego County sheriff\\'s deputies, court records show.The jury\\'s verdict came in a negligence and wrongful death lawsuit filed by the family of Lucky Phounsy against the county and sheriffs.\"What we asked the jury for is to return a verdict that reflected the truth about his death and that reflected justice for what was taken from this family,\" said Tim Scott, an attorney for the family, according to CNN affiliate KGTV. \"We think that the jury verdict did deliver both truth and justice.\"The San Diego County Sheriff\\'s Department plans to meet with its legal representatives to \"evaluate the verdict further,\" according to a statement.\"As always, our ultimate goal is to provide exceptional law enforcement services in San Diego County,\" the statement said.Read MoreRecently unsealed video shows California man screaming \\'I can\\'t breathe\\' before dying in police custody after 2020 traffic stopOn April 13, 2015, Phounsy, 32, \"began experiencing symptoms of a mental health crisis\" and called 911 \"to report that unknown assailants were trying to harm him,\" according to the complaint filed on behalf of Phounsy\\'s two children, wife, and mother.Sheriff\\'s deputies who responded to the call \"were unnecessarily confrontational, aggressive, and profane,\" the lawsuit claimed. After deputies attempted to handcuff him, \"Lucky became frightened and confused\" before an altercation with one of the deputies, the lawsuit says.Deputies, emergency medical technicians and paramedics used a Taser on Phounsy and hog-tied him, and on the way to the hospital paramedics put a sock over his face, according to the lawsuit. According to an incident summary in court documents, the two responding deputies called for back-up units \"while they were being assaulted and injured by Phounsy.\" Both deputies were injured in the altercation, one of them severely, according to the summary.Phounsy was treated in a local hospital and died a few days later, the complaint said.The federal jury found the deputies used excessive force against Phounsy, weren\\'t trained properly, violated Phounsy\\'s civil rights, and were negligent in their duties -- all of which led to his wrongful death, according to court records.Phounsy\\'s family was awarded $5 million for the pain and suffering he experienced -- $2 million for suffering endured before he was placed into an ambulance, and $3 million for suffering endured before his death -- as well as $80 million for their loss of his love, companionship and more, court records show.CNN\\'s Theresa Waldrop contributed to this report. ', 'entities': [{'entity_name': 'LUCKY PHOUNSY', 'entity_type': 'PERSON', 'description': \"A California man who died in 2015 after a confrontation with San Diego County sheriff's deputies.\", 'importance_score': 1.0}, {'entity_name': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'entity_type': 'ORGANIZATION', 'description': 'The law enforcement agency involved in the confrontation with Lucky Phounsy.', 'importance_score': 0.9}, {'entity_name': 'APRIL 13, 2015', 'entity_type': 'DATE', 'description': 'The date when Lucky Phounsy began experiencing symptoms of a mental health crisis and called 911.', 'importance_score': 0.8}, {'entity_name': '$85 MILLION', 'entity_type': 'MONEY', 'description': \"The amount awarded to Lucky Phounsy's family by the federal jury.\", 'importance_score': 0.9}], 'relationships': [{'src_id': 'LUCKY PHOUNSY', 'tgt_id': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'description': \"Lucky Phounsy had a confrontation with deputies from the San Diego County Sheriff's Department, leading to his death.\", 'weight': 1.0, 'order': 1}, {'src_id': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'tgt_id': 'LUCKY PHOUNSY', 'description': \"The San Diego County Sheriff's Department was found to have used excessive force against Lucky Phounsy.\", 'weight': 0.9, 'order': 1}, {'src_id': 'LUCKY PHOUNSY', 'tgt_id': 'APRIL 13, 2015', 'description': 'Lucky Phounsy began experiencing symptoms of a mental health crisis on April 13, 2015.', 'weight': 0.8, 'order': 1}, {'src_id': 'LUCKY PHOUNSY', 'tgt_id': '$85 MILLION', 'description': \"The federal jury awarded $85 million to Lucky Phounsy's family.\", 'weight': 0.9, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': 'Melbourne, Australia (CNN)After spending part of the off-season training with Mike Tyson, Serena Williams is hoping to deliver a knockout punch at the Australian Open. Follow @cnnsport\\n\\nFor Williams that would mean winning a record-tying 24th grand slam title, which has so far proved elusive despite getting close four times since returning to the tour after giving birth to daughter Alexis Olympia. Her preparation for the year\\'s first major couldn\\'t have gone much better, suggesting the mini grand slam drought for arguably tennis\\' greatest ever player is about to cease. Williams let rip into a punching bag in December -- drawing a compliment from former heavyweight boxing champion Tyson, whose daughter happens to be a budding tennis star -- and then won a buildup tournament in Auckland last week to incredibly land a title in a fourth straight decade. She also mingled with one of tennis\\' youngest sensations, Coco Gauff, as part of the training camp in Florida organized by her coach, Patrick Mouratoglou. JUST WATCHEDMouratoglou on Serena comeback and McEnroeReplayMore Videos ...MUST WATCHMouratoglou on Serena comeback and McEnroe 02:19Read MoreWilliams overcame singles opponents with differing styles, reached the doubles final with one of her best friends -- the soon-to-be retired Caroline Wozniacki -- and most crucially, ended a five-match losing streak in finals with her daughter and husband Alexis Ohanian looking on.  No wonder the 38-year-old said following her straight-set victory over fellow American Jessica Pegula: \"It\\'s pretty satisfying just to get a win in the final. That was really important for me. And I just want to build on it,\" added Williams, who donated her prize money check of $43,000 to bush fire relief efforts in Australia. \"It\\'s just a step towards the next goal.\"Indeed. READ: Can Rafael Nadal match Roger Federer\\'s all-time grand slam record?READ: Player brands Australian Open email a \\'slap in the face\\'Eyes on bigger prizeYes, as nice as it was to be holding the winners\\' trophy in Auckland -- where Williams once hit 88 unforced errors in a loss to Madison Brengle -- she didn\\'t make the long trip to simply prosper in New Zealand. The much bigger prize is the Australian Open, where Williams triumphed while in the early stages of pregnancy in 2017.  If Williams makes the final in Melbourne -- and she might have to defeat the likes of twice grand slam winner Naomi Osaka and current world No. 1 Ashleigh Barty along the way -- she will probably have to then defeat someone with a heftier reputation than the 66th-ranked Pegula. Helping Williams, however, is that one of the main contenders, Bianca Andreescu, isn\\'t in Melbourne because of another injury, this time to a knee. But winning any final -- after losses in grand slam finals to Osaka, Andreescu, Angelique Kerber and Simona Halep and retiring against Andreescu in the Rogers Cup finale last August -- could potentially be turning point as Williams attempts to draw level with the grand slam haul of Australia\\'s Margaret Court. JUST WATCHEDSerena Williams falls short in major title chaseReplayMore Videos ...MUST WATCHSerena Williams falls short in major title chase 01:00\"Serena, she certainly looks hungry, and I think she\\'s got a little momentum going into the Australian Open,\" Chris Evert, the 18-time grand slam champion, told reporters in an ESPN conference call last week. \"And it would probably be the least pressure, this grand slam, to win for her. \"I think every other tournament, the French Open, the clay isn\\'t her best surface. Wimbledon is a lot of pressure, US Open is a lot of pressure. \"This one, the first one of the year, it\\'s a \\'Happy Slam,\\'\" referring to the Australian Open\\'s nickname. \"I think if she just takes a little bit of pressure off herself and she can just play her brand of tennis, I think she\\'s got a good shot at winning it.\"She\\'s better at grand slams than any other player when you look at the last two years.\"The way Wozniacki put it, Williams has a \"big chance\" to match Court. pic.twitter.com/skoZilynH8— Serena Williams (@serenawilliams) January 12, 2020 Other high-profile players, such as Halep and former world No. 1 Karolina Pliskova -- who saved four match points last year in Melbourne against Williams and rallied from 5-1 down in the third set after the American rolled her ankle -- aren\\'t discounting her chances, either, despite just falling short recently at grand slams. \"I\\'m very impressed about her, that she keeps playing at this level, with being a mother and also being a little bit older than us,\" said Halep, who made a mere three unforced errors in downing Williams in the 2019 Wimbledon final. \"It\\'s impressive what she does.\"Challenges aheadBut Evert also underscored the stiffer challenges facing Williams. \"There are some darned good players out there that I have a lot of respect for, and the way that Osaka, Barty, Pliskova, Halep ... there\\'s not one or two threats to Serena, there\\'s probably about eight threats, eight players that can probably do some damage and that can compete against her.\"And one more thing is -- I always felt this way -- the older you get, I think the more bad days you may have, days when you feel burned out, days when you don\\'t want to get out of bed, days when you don\\'t have incentive. You don\\'t want to have that day during a grand slam, but sometimes you can\\'t help it.\"JUST WATCHEDSimona Halep on winning her first Wimbledon titleReplayMore Videos ...MUST WATCHSimona Halep on winning her first Wimbledon title 01:56Visit our tennis page for more news and videosWilliams figures to still be around towards the end of the Australian Open, but whether it is as the last person standing continues to be the question. ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Melbourne\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A city in Australia where the Australian Open is held.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Australia\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The country where Melbourne is located and where the Australian Open takes place.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Serena Williams\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player aiming to win the Australian Open.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Mike Tyson\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A former heavyweight boxing champion who trained with Serena Williams.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Australian Open\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A major tennis tournament held annually in Melbourne, Australia.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Alexis Olympia\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The daughter of Serena Williams.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Caroline Wozniacki\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player and friend of Serena Williams.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Coco Gauff\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A young tennis sensation who trained with Serena Williams.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Patrick Mouratoglou\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The coach of Serena Williams who organized the training camp.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Naomi Osaka\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player and grand slam winner who could face Serena Williams.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Ashleigh Barty\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The current world No. 1 tennis player who could face Serena Williams.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Bianca Andreescu\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player who is a main contender but is not in Melbourne due to injury.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Simona Halep\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player who defeated Serena Williams in the 2019 Wimbledon final.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Chris Evert\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"An 18-time grand slam champion who commented on Serena Williams\\' chances at the Australian Open.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Margaret Court\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"An Australian tennis player with a record-tying 24 grand slam titles.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Jessica Pegula\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A fellow American tennis player who Serena Williams defeated in a match.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Alexis Ohanian\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The husband of Serena Williams.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Karolina Pliskova\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A former world No. 1 tennis player who saved match points against Serena Williams in Melbourne.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Mike Tyson\",\\n\\n\"description\": \"Serena Williams trained with Mike Tyson during the off-season.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Australian Open\",\\n\\n\"description\": \"Serena Williams is aiming to win the Australian Open.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Alexis Olympia\",\\n\\n\"description\": \"Serena Williams is the mother of Alexis Olympia.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Caroline Wozniacki\",\\n\\n\"description\": \"Serena Williams reached the doubles final with Caroline Wozniacki.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Coco Gauff\",\\n\\n\"description\": \"Serena Williams trained with Coco Gauff.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Patrick Mouratoglou\",\\n\\n\"description\": \"Patrick Mouratoglou is the coach of Serena Williams.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Naomi Osaka\",\\n\\n\"description\": \"Serena Williams might have to defeat Naomi Osaka to reach the final of the Australian Open.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Ashleigh Barty\",\\n\\n\"description\": \"Serena Williams might have to defeat Ashleigh Barty to reach the final of the Australian Open.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Bianca Andreescu\",\\n\\n\"description\": \"Bianca Andreescu is a main contender but is not in Melbourne due to injury.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Simona Halep\",\\n\\n\"description\": \"Simona Halep defeated Serena Williams in the 2019 Wimbledon final.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Chris Evert\",\\n\\n\"description\": \"Chris Evert commented on Serena Williams\\' chances at the Australian Open.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Margaret Court\",\\n\\n\"description\": \"Serena Williams is attempting to match Margaret Court\\'s record of 24 grand slam titles.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Jessica Pegula\",\\n\\n\"description\": \"Serena Williams defeated Jessica Pegula in a match.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Alexis Ohanian\",\\n\\n\"description\": \"Alexis Ohanian is the husband of Serena Williams.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Karolina Pliskova\",\\n\\n\"description\": \"Karolina Pliskova saved match points against Serena Williams in Melbourne.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)Neymar surpassed Ronaldo and moved to second on Brazil\\'s all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.Two penalties and a last-minute tap-in took the Paris Saint-Germain forward\\'s tally to 64 for his country, two ahead of Ronaldo and 13 behind Pele\\'s all-time record of 77.Everton\\'s Richarlison scored Brazil\\'s other goal as the five-time world champion twice had to come from behind to secure the win.Brazil head coach Tite told reporters after the match that it was \"unfair\" to compare Neymar and Ronaldo.\"What I can say is Neymar has this unpredictability,\" he said. \"He is the bow and the arrow, he\\'s a player who both makes and takes chances. And he gets better and better, and more mature.\"Read MoreNeymar celebrates after completing his hat-trick against Peru.The match had a number of controversial VAR moments, particularly the decision to award Neymar a second penalty late in the game with the score tied at 2-2, a decision which surprised even the Brazilian players.Peru\\'s anger was compounded in stoppage time when Carlos Zambrano was shown a red card for an elbow on Richarlison. The Everton forward had escaped punishment for a similar incident earlier in the match that left Peru\\'s Miguel Trauco with a bloody wound above his eye.The latest incidents added to a growing list of decisions that have left South American fans scratching their heads during this international break, the first time VAR has been used in CONMEBOL World Cup qualifiersBrazil\\'s victory ensures it begins the grueling 18-month campaign with a 100% record to top the standings on six points along with Argentina, which secured an impressive 2-1 win in the altitude of La Paz, Bolivia earlier in the day.The top four teams will qualify automatically for Qatar 2022, with the fifth-placed team competing in a two-legged playoff against a country from another continent.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Neymar\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Brazilian footballer who surpassed Ronaldo and moved to second on Brazil\\'s all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Ronaldo\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A former Brazilian footballer who was previously second on Brazil\\'s all-time goalscoring list.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Pele\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A legendary Brazilian footballer who holds the all-time record for Brazil with 77 goals.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Brazil\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A country where the football match took place and where Neymar and Ronaldo are from.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Peru\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The opposing country in the football match against Brazil.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"World Cup\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"An international football competition where the qualifying match between Brazil and Peru took place.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Neymar\",\\n\\n\"tgt_id\": \"Ronaldo\",\\n\\n\"description\": \"Neymar surpassed Ronaldo on Brazil\\'s all-time goalscoring list.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Neymar\",\\n\\n\"tgt_id\": \"Pele\",\\n\\n\"description\": \"Neymar is 13 goals behind Pele\\'s all-time record for Brazil.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Brazil\",\\n\\n\"tgt_id\": \"Peru\",\\n\\n\"description\": \"Brazil won a football match against Peru in World Cup qualifying.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men\\'s elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that\\'s why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it\\'s also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge\\'s world record time two years ago. Bekele catches his breath after this year\\'s Berlin Marathon. Despite expectations that he could challenge Kipchoge\\'s record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night\\'s sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It\\'s a little bit tough for me because the day before also I couldn\\'t sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I\\'ve recovered well ... At this moment, I\\'m really strong. I hope I\\'ll achieve a good result on Sunday.\"For race organizers, who called off last year\\'s New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele\\'s 5,000m world record stood for 16 years before it was broken by Uganda\\'s Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has \\'the qualities of an ascetic monk\\'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya\\'s Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance\\'s two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city\\'s five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It\\'s more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands\\' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women\\'s race is headlined by Kenya\\'s Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA\\'s Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he\\'s grateful to be able to race in New York following the pandemic and last year\\'s cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Kenenisa Bekele\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"New York City Marathon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Annual marathon in New York City, returning after a two-year hiatus due to the pandemic.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Eliud Kipchoge\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Marathon world record holder and dominant runner over the 26.2 miles of a marathon.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Berlin Marathon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Annual marathon in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Guye Adola\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Winner of the Berlin Marathon, finishing more than a minute ahead of Kenenisa Bekele.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Adbi Nageeye\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Dutch runner who won the silver medal at the Olympics in Sapporo and will compete in the New York City Marathon.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Kibiwott Kandie\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Half marathon world record holder from Kenya, making his marathon debut in New York.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Peres Jepchirchir\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Kenyan runner and gold medalist at the Olympics, headlining the women\\'s race in the New York City Marathon.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Molly Seidel\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"American runner and Olympic bronze medalist, competing in the New York City Marathon.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Shalane Flanagan\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"US star attempting to run six marathons in 42 days, including the New York City Marathon.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"New York City Marathon\",\\n\\n\"description\": \"Kenenisa Bekele is primed to compete in the New York City Marathon.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Eliud Kipchoge\",\\n\\n\"description\": \"Kenenisa Bekele aims to make more history in his storied career, comparing himself to Eliud Kipchoge.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Berlin Marathon\",\\n\\n\"description\": \"Kenenisa Bekele had a disappointing outing at the Berlin Marathon six weeks ago.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Guye Adola\",\\n\\n\"description\": \"Kenenisa Bekele finished third in the Berlin Marathon, more than a minute behind winner Guye Adola.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Adbi Nageeye\",\\n\\n\"description\": \"Adbi Nageeye will compete in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Kibiwott Kandie\",\\n\\n\"description\": \"Kibiwott Kandie will make his marathon debut in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Peres Jepchirchir\",\\n\\n\"description\": \"Peres Jepchirchir will headline the women\\'s race in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Molly Seidel\",\\n\\n\"description\": \"Molly Seidel will compete in the New York City Marathon.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Shalane Flanagan\",\\n\\n\"description\": \"Shalane Flanagan will aim to complete her challenge of running six marathons in 42 days in the New York City Marathon.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'Story highlights200 people take to streets of central Paris to protest police violence Alleged rape of 22-year-old man by police in city\\'s suburbs sparked outragePolice report claims rape was accident (CNN)Violent anti-police protests that have swept the suburbs of Paris since early February spread into the French capital\\'s city center on Wednesday night.Two hundred demonstrators gathered in the neighborhood of Barbes, near Paris\\' Gare du Nord train station, protesting against the alleged rape of a 22-year-old black man by police. An investigation into the incident is ongoing.They demanded justice for the victim, identified only as Théo, chanting \"We do not forget we do not forgive.\" Others set trashcans and rubbish alight in the streets. Videos and photos shared on social media showed riot police throwing tear gas canisters at the crowds, which were lobbed back by protesters. Échanges de projectiles avec la police et les manifestants à #Barbes. Situation très tendue. La police vient de charger. pic.twitter.com/flqdC0C68W— Clément Lanot (@ClementLanot) February 15, 2017\\nA spokesperson for the Paris police prefecture confirmed to CNN that officers had fired tear gas to disperse the crowds, adding that one person had been arrested. The local metro station was shuttered during the unrest.  Riot police stand guard in Paris\\' Barbes neighborhood.Read MorePolice suspended, charged JUST WATCHEDFrench protests turn violent over alleged rapeReplayMore Videos ...MUST WATCHFrench protests turn violent over alleged rape 02:30Amid a sea of signs and banners at the Paris protest on Wednesday night, one stood out: \"F*** the police by accident.\" The message, scrawled in black ink on cardboard, hit back at the way authorities have described the incident.Speaking at the National Assembly on Tuesday, French Interior Minister Bruno Le Roux labeled the alleged sexual assault a \"tragic accident.\" He later walked back the comments in a statement on Twitter. According to the Agence France-Presse news agency, an internal police investigation found that the officer who allegedly sodomized Théo with his baton in the February 2 incident did so unintentionally. CNN was unable to obtain a copy of the police report.  A riot policeman holds a tear gas canister at the Paris protest.Weeks of clashes have broken out since four police officers purportedly threw Théo to the ground, beat and raped him, leaving him with injuries so severe he required surgery.Protesters stand in front of burning trash bins.The officers were suspended pending an inquiry into accusations that they used excessive force while arresting the young man during an identity check in the northern Paris suburb of Aulnay-sous-Bois.All four officers involved in the incident have been charged with aggravated assault, while one was also charged with rape, according to the Interior Ministry.', 'entities': [{'entity_name': 'THÉO', 'entity_type': 'PERSON', 'description': \"A 22-year-old black man allegedly raped by police in Paris' suburbs.\", 'importance_score': 0.9}, {'entity_name': 'PARIS', 'entity_type': 'LOCATION', 'description': 'The French capital where protests against police violence took place.', 'importance_score': 0.8}, {'entity_name': 'BARBES', 'entity_type': 'LOCATION', 'description': 'A neighborhood in Paris where 200 demonstrators gathered to protest against the alleged rape of Théo.', 'importance_score': 0.7}, {'entity_name': 'GARE DU NORD', 'entity_type': 'LOCATION', 'description': 'A train station near the Barbes neighborhood in Paris.', 'importance_score': 0.6}, {'entity_name': 'BRUNO LE ROUX', 'entity_type': 'PERSON', 'description': \"French Interior Minister who labeled the alleged sexual assault a 'tragic accident'.\", 'importance_score': 0.7}, {'entity_name': 'AULNAY-SOUS-BOIS', 'entity_type': 'LOCATION', 'description': 'A northern Paris suburb where Théo was allegedly assaulted by police.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'THÉO', 'tgt_id': 'PARIS', 'description': 'Théo, a 22-year-old man, was allegedly raped by police in the suburbs of Paris, sparking protests in the city center.', 'weight': 0.9, 'order': 1}, {'src_id': 'PARIS', 'tgt_id': 'BARBES', 'description': 'Protests against the alleged rape of Théo took place in the Barbes neighborhood of Paris.', 'weight': 0.8, 'order': 1}, {'src_id': 'BARBES', 'tgt_id': 'GARE DU NORD', 'description': \"The Barbes neighborhood is near Paris' Gare du Nord train station.\", 'weight': 0.7, 'order': 2}, {'src_id': 'THÉO', 'tgt_id': 'BRUNO LE ROUX', 'description': 'Bruno Le Roux, the French Interior Minister, commented on the alleged rape of Théo.', 'weight': 0.7, 'order': 2}, {'src_id': 'THÉO', 'tgt_id': 'AULNAY-SOUS-BOIS', 'description': 'Théo was allegedly assaulted by police in the Aulnay-sous-Bois suburb of Paris.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsThe phone was auctioned Sunday by a Maryland auction house and was bought by phone bidderThe \"mobile device of destruction\" was recovered from Nazi leader\\'s bunker by British officer (CNN)Adolf Hitler\\'s telephone was sold at auction in the United States on Sunday for $243,000. The winning bid was made by phone but the name of the bidder has not been released.The phone was presented to Hitler by the Wehrmacht and was used by the Nazi leader to issue most of his commands during the last two years of World War II, according to a description in the catalog for Alexander Historical Auctions in Maryland.The phone was recovered from the Fuhrerbunker in 1945 and has been kept in a box in an English country house ever since. Made by Siemens as a black Bakelite phone, it was later painted red and engraved with Hitler\\'s name and a swastika, the catalog says.The auction house describes the telephone as \"Hitler\\'s mobile device of destruction\" and called it \"arguably the most destructive \\'weapon\\' of all time, which sent millions to their deaths around the world.\"Hitler\\'s name is engraved on the back of the phone, along with an eagle and swastika.Read MoreBritish officer Ralph Rayner recovered the phone from Hitler\\'s bunker while visiting Berlin on the orders of Field Marshall Bernard Montgomery just a few days after the end of the war, according to Rayner\\'s personal account and shipping documents from that time period, according to the auction house. His son Ranulf Rayner, 82, inherited the phone after his father\\'s death in 1977. \"My father didn\\'t see it as a relic of Hitler\\'s glory days, more a battered remnant of his defeat, a sort of war trophy,\" he told CNN. \"He never thought it would become an important artifact.\"Ralph Rayner would have been \"chuffed to bits\" that the phone has had so much attention, his son said.He had hoped the phone would fetch a larger sum, but he is happy to be able to say goodbye to it.\"I certainly won\\'t miss it,\" he told CNN. \"It\\'s a fairly sinister bit of kit and I\\'ve always lived in fear of someone trying to steal it. I\\'ve also been told it\\'ll bring me bad luck.\"Sent to the shattered German capital to establish contact with the Russian forces who had captured the city, Ralph Rayner was probably the very first non-Soviet victor to enter Hitler\\'s bunker.How Hitler\\'s \\'Mein Kampf\\' became a bestseller in 2016\"He could still smell burning flesh,\" Ranulf Rayner said, recalling his father\\'s description of the underground shelter where Hitler spent his final days. In his words, it was a \"dreadful hellhole.\" First offered the black telephone found in the room of Eva Braun, Hitler\\'s bride, Ralph Rayner instead chose the red phone next to Hitler\\'s bed. \"He told the Russians that red was his favorite color,\" Ranulf Rayner said, \"which the Russians rather liked.\"In a letter to his wife Elizabeth on May 18, 1945, Ralph Rayner wrote of the \"utter horror\" he witnessed in Berlin, but did not mention the remarkable souvenir he had in his possession.If British soldiers were caught looting from the Germans, Ranulf Rayner explained, they would face a court martial.Ralph Rayner returned to Devon in western England with both the phone and a porcelain model of an Alsatian, also taken from the bunker, hidden in his suitcase.Ralph Rayner also recovered a porcelain Alsatian from Hitler\\'s bunker.The china dog, made by slave laborers at Dachau concentration camp and probably presented to Hitler by Heinrich Himmler, SS chief and architect of the Final Solution, was also auctioned Sunday. It was bought by a different phone bidder for $24,300.Ranulf Rayner hopes these objects will end up in a museum one day. \"I don\\'t want them to be hidden again,\" he said. \"I want them to remind the world of the horrors of war.\"', 'entities': [{'entity_name': 'ADOLF HITLER', 'entity_type': 'PERSON', 'description': 'Nazi leader whose telephone was auctioned.', 'importance_score': 1.0}, {'entity_name': 'ALEXANDER HISTORICAL AUCTIONS', 'entity_type': 'ORGANIZATION', 'description': \"Maryland auction house that auctioned Adolf Hitler's telephone.\", 'importance_score': 0.8}, {'entity_name': 'FUHRERBUNKER', 'entity_type': 'LOCATION', 'description': \"Underground bunker where Adolf Hitler's telephone was recovered.\", 'importance_score': 0.7}, {'entity_name': 'RALPH RAYNER', 'entity_type': 'PERSON', 'description': \"British officer who recovered Adolf Hitler's telephone from the Fuhrerbunker.\", 'importance_score': 0.9}, {'entity_name': 'RANULF RAYNER', 'entity_type': 'PERSON', 'description': 'Son of Ralph Rayner, who inherited the telephone.', 'importance_score': 0.6}, {'entity_name': 'SIEMENS', 'entity_type': 'ORGANIZATION', 'description': \"Company that manufactured Adolf Hitler's telephone.\", 'importance_score': 0.5}], 'relationships': [{'src_id': 'ADOLF HITLER', 'tgt_id': 'ALEXANDER HISTORICAL AUCTIONS', 'description': \"Adolf Hitler's telephone was auctioned by Alexander Historical Auctions.\", 'weight': 0.9, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'FUHRERBUNKER', 'description': \"Adolf Hitler's telephone was recovered from the Fuhrerbunker.\", 'weight': 0.8, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'RALPH RAYNER', 'description': \"Ralph Rayner recovered Adolf Hitler's telephone from the Fuhrerbunker.\", 'weight': 0.9, 'order': 1}, {'src_id': 'RALPH RAYNER', 'tgt_id': 'RANULF RAYNER', 'description': 'Ranulf Rayner inherited the telephone from his father, Ralph Rayner.', 'weight': 0.7, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'SIEMENS', 'description': \"Adolf Hitler's telephone was manufactured by Siemens.\", 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)Former Bosnian Serb army leader Ratko Mladic was sentenced to life in prison Wednesday after being found guilty of genocide for atrocities committed during the Bosnian war from 1992 to 1995.Verdict proceedings had been interrupted earlier when the 74-year-old\\'s legal team claimed that his blood pressure was too high to continue.After outbursts from Mladic, Judge Alphons Orie, who was delivering a summation of the case, ordered the removal of the ex-general, telling him he could monitor proceedings by audio and video. \"I am very distraught,\" Mladic shouted inside the courtroom. \"Everything that you have said is pure lies. Shame on you. It\\'s all lies.\"Mladic\\'s legal team had asked for proceedings to be halted or for the summation of the case to be skipped, which the Judge refused. Read MoreMladic was charged with two counts of genocide and nine crimes against humanity and war crimes for his role in the conflict in the former Yugoslavia from 1992 to 1995, during which 100,000 people were killed and another 2.2 million displaced. He was found not guilty on one charge of genocide, but received a guilty verdict on each of the other 10 counts. Mladic\\'s lawyer, Dragan Ivetic, said it was \"certain\" Mladic would appeal.\"Butcher of Bosnia\" Ratko Mladic has been found guilty of the highest crimes against international law, says CNN\\'s @camanpour, who covered the Bosnian war https://t.co/4A7DtVjHn8 pic.twitter.com/HdPKU3tqRD— CNN International (@cnni) November 22, 2017The trial, which opened in 2012, took place at the International Criminal Tribunal for the former Yugoslavia in The Hague, Netherlands. The ad hoc court was established to prosecute crimes committed during the Balkans conflict.  Mladic was accused of orchestrating a campaign of ethnic cleansing, including the slaughter of thousands of Muslim men and boys at Srebrenica in July 1995. It is the worst massacre to have taken place in Europe since the Second World War.Mladic judgment brings back stench of Bosnian genocideProsecutor Serge Brammertz told reporters that Mladic will be remembered by history \"for the many communities and lives he destroyed.\"\"Today\\'s judgment is a milestone in the tribunal\\'s history and for international justice,\" he added.The trial of Mladic, who was arrested in 2011, has lasted 530 days and included more than 500 witnesses and nearly 10,000 exhibits. Before the case was adjourned last December, prosecutors recommended a life sentence. Mladic had previously referred to the court as \"satanic\" and labeled the charges against him as \"obnoxious.\"ReactionAt a center for the association of women victims of war in Sarajevo, there was an outpouring of emotion during the judge\\'s summation.There was particular frustration that Mladic was acquitted on one charge of genocide in Bosnian municipalities outside of Srebrenica.Amela Meduseljac (L) and Meliha Mrdzic were unhappy that Mladic was acquitted on one charge.Meliha Mrdzic, who said her father and brother were killed and thrown into the Drina River in Visegrad, told CNN she was left humiliated by the decision.\"The international community made me a victim a second time,\" she said. \"They make it seem like we killed ourselves, raped ourselves, slaughtered ourselves. I feel so hurt, I can\\'t describe it.\"Amela Meduseljac, who said she was raped by Mladic\\'s soldiers at Visegrad, said that victims will struggle to get over the judgment.\"Our mission as a rape survivor association was to stop victims from feeling like victims,\" she said. \"But it\\'s getting worse from year to year and it will get especially worse after this verdict.\"People in Srebrenica celebrate as they watch a live TV broadcast of the trial Wednesday.UN High Commissioner for Human Rights Zeid Ra\\'ad Al Hussein called Mladic the \"epitome of evil\" and labeled his conviction a \"momentous victory for justice.\"  \"Mladic presided over some of the darkest crimes to occur in Europe since World War II, bringing terror, death and destruction to thousands of victims, and sorrow, tragedy and trauma to countless more,\" Zeid said in a statement.\"His conviction is a testament to the courage and determination of those victims and witnesses who never gave up hope that they would see him brought to justice.\"A woman writes in a book inside a traveling monument called \"Prijedor 92\" outside the tribunal in The Hague on Wednesday.In Serbia, the country\\'s president, Aleksandar Vučić, urged his people to look forward to the future.\"Today is not a day for joy, nor for sorrow, but to see what kind of future we want,\" he told reporters. \"We all knew that the judgment would be like that. There is no one who did not know it in advance. My call to all citizens of Serbia is to start looking at the future today. \"Let\\'s think about where and how our children will live. How and in what way will we preserve peace and stability in the region\"In a separate development, Serbia\\'s Minister for Justice Nela Kuburović urged that Mladic be released to undergo medical treatment.Who is Ratko Mladic?The ex-general -- accused of being \"the Butcher of Bosnia\" -- was in command of the Bosnian Serb army that entered the town of Srebrenica in July 1995. In the days that followed, 8,000 Muslim men and boys were systematically slaughtered by troops under his leadership.JUST WATCHEDAmanpour meets the \\'Butcher of Bosnia\\'ReplayMore Videos ...MUST WATCHAmanpour meets the \\'Butcher of Bosnia\\' 04:05The late Bosnia peace negotiator Richard Holbrooke once described Mladic as \"one of those lethal combinations that history thrusts up occasionally -- a charismatic murderer.\"Read: Bosnia\\'s future is tied to justiceMladic faced charges over his actions during the siege of Sarajevo, where his heavily armed forces cut the city off from the outside world. Serb forces pounded the city from higher ground each day, trapping Sarajevo\\'s residents in the valley below. More than 10,000 people, mostly civilians, perished.JUST WATCHEDMarking 20 years since Srebrenica: A survivor\\'s storyReplayMore Videos ...MUST WATCHMarking 20 years since Srebrenica: A survivor\\'s story 04:26After the war ended in 1995, Mladic went on the run before being found 16 years later when police burst into the garden of a small house in northern Serbia.Though he was carrying two handguns, he surrendered without a fight. He was extradited for trial in the Netherlands.Srebrenica massacre: Two decades on, wounds still raw, graves still openIn 2011, a tribunal judge entered pleas of not guilty for Mladic after he refused to cooperate and was forcibly removed from the courtroom at the judge\\'s order.Mladic\\'s judgment day comes more than a year after Bosnian Serb political leader Radovan Karadzic was sentenced to 40 years in prison for his role in the 1990s conflict. Former Serbian President Slobodan Milosevic was arrested in 2001 but died before his trial could be completed.At a news conference following the verdict, Mladic\\'s son Darko said that his father felt sorry for every victim of the conflict. \"General Mladic cannot accept responsibility for things he did not do,\" Darko Mladic said. He argued that what had happened in Srebrenica was \"legitimate.\"Melina Borcak and Lindsay Isaac in Sarajevo contributed to this report.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. We ensure that each entity and relationship is described comprehensively and assigned appropriate importance scores and weights.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Ratko Mladic\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Former Bosnian Serb army leader found guilty of genocide and other crimes during the Bosnian war.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Bosnian war\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Conflict in the former Yugoslavia from 1992 to 1995 involving atrocities and genocide.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Srebrenica\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"Site of the worst massacre in Europe since World War II, where thousands of Muslim men and boys were slaughtered.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"International Criminal Tribunal for the former Yugoslavia\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"Ad hoc court established to prosecute crimes committed during the Balkans conflict.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Sarajevo\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"Capital of Bosnia and Herzegovina, heavily affected by the Bosnian war.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Drina River\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"River in Bosnia and Herzegovina where victims were thrown.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Aleksandar Vučić\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"President of Serbia during the trial of Ratko Mladic.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Radovan Karadzic\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Bosnian Serb political leader sentenced for his role in the 1990s conflict.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Slobodan Milosevic\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Former Serbian President who died before his trial could be completed.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Bosnian war\",\\n\\n\"description\": \"Ratko Mladic was a key figure in the Bosnian war, leading the Bosnian Serb army.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Bosnian war\",\\n\\n\"tgt_id\": \"Srebrenica\",\\n\\n\"description\": \"The Bosnian war included the massacre at Srebrenica.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"International Criminal Tribunal for the former Yugoslavia\",\\n\\n\"description\": \"Ratko Mladic\\'s trial took place at the International Criminal Tribunal for the former Yugoslavia.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Sarajevo\",\\n\\n\"description\": \"Ratko Mladic\\'s forces besieged Sarajevo during the Bosnian war.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Drina River\",\\n\\n\"description\": \"Victims of Ratko Mladic\\'s forces were thrown into the Drina River.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Aleksandar Vučić\",\\n\\n\"tgt_id\": \"Ratko Mladic\",\\n\\n\"description\": \"Aleksandar Vučić, as the President of Serbia, commented on the trial of Ratko Mladic.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Radovan Karadzic\",\\n\\n\"description\": \"Ratko Mladic and Radovan Karadzic were both key figures in the Bosnian Serb leadership during the war.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Slobodan Milosevic\",\\n\\n\"description\": \"Ratko Mladic and Slobodan Milosevic were both involved in the conflicts in the former Yugoslavia.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)Neymar surpassed Ronaldo and moved to second on Brazil\\'s all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.Two penalties and a last-minute tap-in took the Paris Saint-Germain forward\\'s tally to 64 for his country, two ahead of Ronaldo and 13 behind Pele\\'s all-time record of 77.Everton\\'s Richarlison scored Brazil\\'s other goal as the five-time world champion twice had to come from behind to secure the win.Brazil head coach Tite told reporters after the match that it was \"unfair\" to compare Neymar and Ronaldo.\"What I can say is Neymar has this unpredictability,\" he said. \"He is the bow and the arrow, he\\'s a player who both makes and takes chances. And he gets better and better, and more mature.\"Read MoreNeymar celebrates after completing his hat-trick against Peru.The match had a number of controversial VAR moments, particularly the decision to award Neymar a second penalty late in the game with the score tied at 2-2, a decision which surprised even the Brazilian players.Peru\\'s anger was compounded in stoppage time when Carlos Zambrano was shown a red card for an elbow on Richarlison. The Everton forward had escaped punishment for a similar incident earlier in the match that left Peru\\'s Miguel Trauco with a bloody wound above his eye.The latest incidents added to a growing list of decisions that have left South American fans scratching their heads during this international break, the first time VAR has been used in CONMEBOL World Cup qualifiersBrazil\\'s victory ensures it begins the grueling 18-month campaign with a 100% record to top the standings on six points along with Argentina, which secured an impressive 2-1 win in the altitude of La Paz, Bolivia earlier in the day.The top four teams will qualify automatically for Qatar 2022, with the fifth-placed team competing in a two-legged playoff against a country from another continent.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Neymar\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Brazilian footballer who surpassed Ronaldo and moved to second on Brazil\\'s all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Ronaldo\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A former Brazilian footballer who was previously second on Brazil\\'s all-time goalscoring list.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Pele\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A legendary Brazilian footballer who holds the all-time record for Brazil with 77 goals.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Brazil\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A country where the football match took place and where Neymar and Ronaldo are from.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Peru\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The opposing country in the football match against Brazil.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"World Cup\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"An international football competition where the qualifying match between Brazil and Peru took place.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Neymar\",\\n\\n\"tgt_id\": \"Ronaldo\",\\n\\n\"description\": \"Neymar surpassed Ronaldo on Brazil\\'s all-time goalscoring list.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Neymar\",\\n\\n\"tgt_id\": \"Pele\",\\n\\n\"description\": \"Neymar is 13 goals behind Pele\\'s all-time record for Brazil.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Brazil\",\\n\\n\"tgt_id\": \"Peru\",\\n\\n\"description\": \"Brazil won a football match against Peru in World Cup qualifying.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'Story highlightsMax Verstappen made his F1 debut aged 17Won the 2016 Spanish GP aged 18 in his first race for Red BullMax Verstappen stars in May\\'s edition of The Circuit, which was filmed on location at the Spanish Grand Prix.Barcelona (CNN)Red Bull Racing\\'s Max Verstappen is the youngest man to top a Formula One podium in the history of the sport, having triumphed in his Red Bull debut at last year\\'s Spanish Grand Prix. Follow @cnnsport\\n\\nAll in all, the teenager competed in 14 races before he even got his driving license, negotiating breakneck turns and high-speed chicanes while the rest of us were worrying about zebra crossings. Legal to drive. Born to race! #driverlicense pic.twitter.com/rofgrA9jKp— Max Verstappen (@Max33Verstappen) September 30, 2015\\nBut what was the Dutchman\\'s first ever road car? \"It was a Renault Clio!\" Verstappen told CNN\\'s The Circuit in Barcelona ahead of last weekend\\'s Spanish Grand Prix. \"I couldn\\'t even use it that much because I was not yet 18 and racing for Toro Rosso.\"At first I had a yellow one, and then they swapped it to the gray. I preferred that...\"Read MoreWATCH: The Ice Man reveals his first ever road carJUST WATCHEDA chat with Max VerstappenReplayMore Videos ...MUST WATCHA chat with Max Verstappen 03:08The talented young driver says he might have opted for a Volkswagen Golf had he needed to actually buy a car, with the Renault given as a \"gift.\" But for a man used to exceeding 200 mph, the highway code presents something of a limitation.  In fact, though Verstappen admits plans to buy an Aston Martin DB11 are afoot, he currently uses rather less glamorous mode of transport...\"At the moment I\\'m just driving my scooter,\" says the 19-year-old, who spends his spare time with his parents in Belgium or at home in Monte Carlo. WATCH: Lewis Hamilton reveals his first ever road carAn F1 driver on two wheels? Watch the video above to find out more...', 'entities': [{'entity_name': 'MAX VERSTAPPEN', 'entity_type': 'PERSON', 'description': 'Max Verstappen is a talented young driver who made his F1 debut aged 17 and won the 2016 Spanish GP aged 18 in his first race for Red Bull.', 'importance_score': 1.0}, {'entity_name': 'RED BULL', 'entity_type': 'ORGANIZATION', 'description': 'Red Bull is the racing team for which Max Verstappen made his debut and won the 2016 Spanish GP.', 'importance_score': 0.9}, {'entity_name': 'SPANISH GRAND PRIX', 'entity_type': 'EVENT', 'description': 'The Spanish Grand Prix is a Formula One race where Max Verstappen won his first race for Red Bull.', 'importance_score': 0.8}, {'entity_name': 'BARCELONA', 'entity_type': 'LOCATION', 'description': 'Barcelona is the location where the Spanish Grand Prix took place and where Max Verstappen was interviewed.', 'importance_score': 0.7}, {'entity_name': 'RENAULT CLIO', 'entity_type': 'VEHICLE', 'description': 'Renault Clio is the first road car that Max Verstappen owned.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'MAX VERSTAPPEN', 'tgt_id': 'RED BULL', 'description': 'Max Verstappen made his F1 debut and won the 2016 Spanish GP in his first race for Red Bull.', 'weight': 1.0, 'order': 1}, {'src_id': 'MAX VERSTAPPEN', 'tgt_id': 'SPANISH GRAND PRIX', 'description': 'Max Verstappen won the 2016 Spanish GP in his first race for Red Bull.', 'weight': 1.0, 'order': 1}, {'src_id': 'MAX VERSTAPPEN', 'tgt_id': 'BARCELONA', 'description': 'Max Verstappen was interviewed in Barcelona ahead of the Spanish Grand Prix.', 'weight': 0.8, 'order': 1}, {'src_id': 'MAX VERSTAPPEN', 'tgt_id': 'RENAULT CLIO', 'description': \"Max Verstappen's first road car was a Renault Clio.\", 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)It\\'s a question that has been asked for 50 years -- again and again.\"Why do these people continue to make a mockery of our culture?\" The question in 1970 was posed by Dennis Banks in reference to the use of Native American heritage being used for names and mascots for American sports teams. Banks was a Native American activist and a longtime leader of the American Indian Movement (AIM).Banks devoted much of his life and attention to campaigning for the team formerly known as the Washington Redskins to change its name.He died in 2017, aged 80, with the team\\'s name still intact.The Washington Football Team changed its name after 50 years of protests.Read MoreThe year 2020 put the issue of race front and center of political and societal debate.The killing of George Floyd also forced many sport teams that utilize Native American heritage to review that association -- be it their name or logo.Washington has changed its logo and is now known as the Washington Football Team. Additionally, the Kansas City Chiefs in the NFL, the Cleveland Indians and Atlanta Braves in the MLB, and the Chicago Blackhawks in the NHL have all looked inwards and made changes.Changes also came in Canada. In July, the Edmonton Eskimos football team announced that the team would retire the \"Eskimos\" name. The Inuit -- Indigenous People of the Canadian Arctic -- often take offense at the term \"Eskimo.\" \"While many fans are deeply committed to keeping the name, others are increasingly uncomfortable with the moniker,\" said the club in an official statement. The club said it had engaged with Inuit communities in recent years to discuss the name and felt now the time was right to change it.The team has retained its recognizable \"EE\" logo, but is yet to choose a new name. For the moment, the club is called the Edmonton Football Team or the EE Football Team. While originally a placeholder name, Washington president Jason Wright said the \"Football Team\" name may remain the team\\'s long-term name.But across the rest of the world, notably in Latin America, there\\'s arguably been less willingness to engage with the idea of what these associations potentially mean for Indigenous communities.In Latin America, it isn\\'t just the sporting world turning its back on Indigenous communities. According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.For Native Americans, the use -- and abuse -- of their images, likenesses and culture in sports is a contemporary form of the marginalization they have historically experienced.The director of First Peoples Worldwide Carla Fredericks told CNN that a lot of the offense caused is due to false representation and outright racism.\"Of course, in the US, Native Americans have endured a really brutal history of colonization, marginalization, and so on,\" she says.\"And one of the kind of end results about that is that Americans really don\\'t have a good grip on who contemporary Native American people are and so the only representative of us is the representation that we see in sport -- for many people. \"And obviously that\\'s troubling because that\\'s a caricatured representation and not an accurate representation of living, breathing cultures.\" The use of indigenous culture in sport is, therefore, an act that reminds Native Americans of their historic oppression at the hands of colonizers.There is also evidence to suggest that caricaturing Indigenous culture in sports causes depression, low self-esteem, substance abuse and even suicide among Native American youth.According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.Fredericks adds that \"the notion of consent and stakeholder engagement\" -- or lack thereof -- is central to the issue too.She says consent is key when considering the acceptability of the use of Indigenous Peoples\\' culture, pointing to the UN Declaration on the Rights of Indigenous Peoples.\"I think the right approach at this point in time is really to seek counsel from those communities and ask them, you know, \\'Where do you stand on this? Is this something that you appreciate? Is it something that is harmful to you?\\'\"The issue has long been the focal point of media and activist attention in the US, particularly over professional sports franchises. But it is not a uniquely American issue, and it is not a social phenomenon that affects just Native Americans. It is a global problem, and one that affects Indigenous people around the world. The story beyond North AmericaThe Exeter Chiefs rugby union team in the UK, the KAA Gent soccer team in Belgium and the Kaizer Chiefs soccer team in South Africa all use a Native American man in headdress as their logos.While teams in the US are reviewing and removing similar logos and names, these teams have each chosen to keep their logo. This is in spite of public pressure in some cases.The logos of soccer teams Kaizer Chiefs in South Africa, KAA Gent in Belgium and rugby team Exeter Chiefs in the UK all have a Native American wearing a headdress.A recent petition, launched by an Exeter fan named Ash Green, asked the Exeter Chiefs to change its \"harmful use of Indigenous Peoples\\' imagery and branding.\" It initially gained 3,700 signatures and the club announced its board would meet to discuss a rebranding. However, that meeting resulted in only the retirement of the team\\'s mascot, \"Big Chief.\" The club released a statement saying that the logo would remain, and that the board took the view that it was \"in fact highly respectful.\"As for the \"Chiefs\" name, the club said that the name \"dated back into the early 1900s and had a long history with people in the Devon area,\" the English county in which Exeter lies.The Exeter Chiefs for Change, a group campaigning for the club to change its name and remove references to Native American culture, released a statement labeling the decision as \"incredibly disappointing,\" and that the club had \"thrown away an opportunity to show itself as an inclusive club.\" \"We accept that the intention of the club for the branding was originally positive and not derogatory,\" they continued. \"But now they know it is not perceived in that way, they are making a conscious decision to be intentionally offensive by continuing to use it.\"The group concluded its statement saying that they were \"horrified\" and that \"the decision will not age well.\"In their statement, the Chiefs said the club will be making no further comment on the matter.Exeter Chiefs rugby team has retired its mascot \"Big Chief\" but will not remove the \"Chiefs\" part of its name. KAA Gent has an extensive section on its website that speaks to the historic oppression and present-day struggle of Native Americans. It also explains the history of the club\\'s logo, and that the cultural context was \"a positive one.\" It says that the club represents \"respect, courage and honor. Values that they attributed to the Native Americans rather than to their White oppressor.\"Despite acknowledging the potential offense that its logo may cause, the club explains that it chooses to retain the logo as it \"draws attention throughout Europe to the social situation facing the Native American population today.\"KAA Gent acknowledge potential offense the team\\'s logo can cause, but said it would remain the club\\'s logo.In addition, the club says through its foundation, it is \"willing to investigate, along with representatives of the Native American population, if and how KAA Gent can organize a social partnership with an initiative in the United States that aims to bring about an improvement in the standard of living experienced by Native Americans, using football as a powerful instrument.\"CNN was told by the club that it reached out to \"some [Native American] organizations/representatives\" via Facebook in 2018 but received no rejection or acceptance of an \"exchange of views.\"The club says if a Native American organization did reach out, representatives \"would listen respectfully and try to establish such a partnership for the future.\"CNN contacted Kaizer Chiefs but did not receive a response at the time of publication.The Latin American storyIn Latin America, there is a case to be made that not only do the clubs not engage with Indigenous communities, but actively ignore scrutiny of practices. Only two of the five Latin American clubs contacted for this story responded to CNN.Guarani people are indigenous to South America, and live in Paraguay, Brazil, Argentina, Uruguay and Bolivia.The Guarani people represent the largest indigenous group in Brazil with a population of 51,000.They are one of the most vulnerable Indigenous groups in the world. In 2013, it was found that Guarani people suffer a murder rate four times higher than the national homicide rate in Brazil, according to the Brazilian non-governmental organization CIMI.Most of their land was taken from them during the twentieth century, and they have an unequaled suicide rate in South America.Guarani people in Brazil are one of the most vulnerable Indigenous groups in the world.In the world of soccer, there are numerous Brazilian teams named after the Guarani people.Second division side Guarani FC last played in the top division in 2010 and won the Serie A title in 1978.In Paraguay, the fourth most successful team is Club Guarani. These two sides represent the best known \"Guarani\" soccer clubs and it is unclear whether the clubs ever obtained the consent of the Guarani people. CNN reached out to both clubs to seek comment but didn\\'t receive a response from either.Guarani FC is based in Campinas, and is named in homage to the opera Il Guarany by Campinas-born composer Carlos Gomes. While the name is born out of an opera, it still marks an appropriation of an Indigenous peoples\\' identity.Fans of Guarani sometimes use an ethnic slur for an Indigenous Brazilian when referring to the club.Guarani FC have been promoted back to the Brazilian Serie A after one season in Serie B. The club came second to Neymar\\'s Santos in the 2012 Campeonato Paulista.There are numerous other examples across the continent where Indigenous culture is used by clubs without affiliation to Indigenous groups.Chapecoense made global headlines after a 2016 plane crash killed the vast majority of players and staff at the club.The club\\'s stadium was formerly known as Estadio Indio Conda. Brazilian football historian and podcaster Matias Pinto says that in Latin America, Indio is often a word regularly utilized as a racial slur that connotes indigenous people. \"In Brazil and other parts of Latin America, it depends how you say it. But when you chant \\'Indio\\' it\\'s derogatory,\" he says.He also adds that the club has no link to native people.\"Conda is an Indigenous leader from the past, so they honor this native hero in the West of Santa Catarina. But the Chapecoense fans are not native. They are mostly European descendants from the 19th century.\"The club\\'s mascot is an indigenous person -- in reality, a person wearing Chapecoense kit alongside a mask of an indigenous person. One can also download a cartoon image of the mascot from the club\\'s website, which is entitled \"Indio.\"Chapecoense was contacted by CNN but did not receive a response at the time of publication.Chapecoense\\'s mascot is an indigenous person.\"They were barbarians, they looked like the Xavantes.\"It isn\\'t just appropriation that can cause problems for Indigenous People, as Fredericks says: \"Unfortunately, because of the nature of sport, not only home team fans might behave in a way that\\'s very disparaging and appropriative. But the opposing team fans might engage in behavior that\\'s very insulting towards people.\"The Xavante are an Indigenous People in Brazil numbering approximately 22,000, according to Povos Indigenas no Brasil. Fans of the football club Gremio Esportivo Brasil, also known as Brasil de Pelotas -- which is based in the south of Brazil -- have been nicknamed Xavantes since 1946. According to an official statement made to CNN by the club, the nickname came about following a 1946 match against its main rivals Esporte Clube Pelotas. Down 3-1 at half time, Brasil de Pelotas came back in the second half to win 5-3. After the final whistle, fans of Brasil de Pelotas destroyed the fence separating the field from the stands and broke onto the field to celebrate.Following the game and the subsequent field invasion, an Esporte Clube Pelotas official gave a statement to the press, saying: \"They were barbarians, they looked like the Xavantes.\"Fans of Brasi de Pelotas, who wear red and black, are known as Xavantes after an official of a rival used it as a slur against them in 1946.The name was soon adopted by Brasil de Pelotas fans with pride and the club says that \"despite the pejorative\" meaning behind the name, it sees the name as \"an honor.\"\"It relates to the bravery of the indigenous tribe with the team. In our history, we have as main characteristics the guts, the fight for every ball and not to give up any play.\"The fans and the club adhered to the nickname and the likeable figure of the Indian, and today we are known in the country as Xavante, the red-black gaucho. And we won\\'t change it.\"Sao Paolo-based Pinto says that it goes further than that: \"It started with a slur but nowadays Brasil de Pelotas fans are very proud [to be] Xavantes,\" as fans perceive themselves similarly to the Xavante people: warlike, brave and tough.\"Pelotas is a city that is facing an exodus,\" he says. \"People are moving to other parts of Brazil. So they have a lot of supporters\\' clubs around Brazil and they always merge the name of the state/city with Xavantes.\"Pinto says that racist slurs against Indigenous People are most common in intercontinental football matches in South America.\"In the continental competitions it happens too. Here in Sao Paulo, we do not have a lot of Indigenous, in Buenos Aires and Montevideo too. In Sao Paulo we are more Black or White, not Indigenous. \"So when a club from Bolivia or Peru or Ecuador [visits], countries in the middle [of the continent] are closer to indigenous traces, the supporters from Brazilian clubs, Argentinian clubs, Uruguayan clubs reference these people as \\'Indios.\\'\"Brazilian president Jair Bolsonaro has actively sought to limit the legal protections of Indigenous People.While racism against Indigenous People through sport continues across the continent, in Brazil Pinto offers that, \"they have more urgent issues [with which] to struggle.\"He speaks with reference to president Jair Bolsonaro and the policies towards Indigenous People during his presidency.\"It was a promise that [Bolsonaro] made in his campaign,\" Pinto says. \"He will not concede any land to the communities, that he will explore the surface for miners, and the environmental minister is very close to the farmers and miners. So the Indigenous, since the first day of this government, are very scared about these promises.\"During the Covid-19 pandemic, Bolsonaro has actively sought to limit protections of Indigenous People as well as devastating indigenous lands while the world is distracted. CNN contacted the Brazilian government but did not receive a response at the time of publication.Positive steps in Latin AmericaChile\\'s most successful club Colo-Colo was founded by a White Chilean footballer but is named after Colocolo, a Mapuche tribal leader during the Arauco War fought against the Spanish colonizers.The club\\'s badge also features the likeness of Colocolo.Colo-Colo\\'s badge depicts its namesake, the Mapuche tribal leader Colocolo. Unlike many other clubs, Colo-Colo has actively engaged with the Indigenous community on which its name is based.In a statement, the club told CNN it believes there are \"essential differences\" from other teams around the globe which \"have a negative or derogatory charge.\"According to Pinto, the club was founded by \"rebels and workers\", so it acts as a symbol of an oppressed people fighting against oppressive powers.The club told CNN that the \"Mapuche identity is present and diluted in the Chilean population in a patent and documented way\" and as such the club has taken steps to recognize that.Colo-Colo flies the Mapuche flag alongside the Chilean flag at its stadium, and signage around the ground is written in both Spanish and Mapuche.The club said it was making efforts \"to seek an understanding and solution of the demands of the Mapuche people,\" along with \"performing ceremonies such as the the Mapuche June Solstice celebration in the stadium together with partners, fans, Mapuche communities and club authorities.\"Tribe members march for indigenous territorial rights on November 11, 2015 in Angra dos Reis, Brazil. Members of the Pataxo and Guarani tribes in Rio de Janeiro state joined the march. Pinto is less optimistic that real change will happen soon. Speaking of indigenous communities in his local Rio state, he said: \"They are very threatened by the Rio state ... they [Indigenous People] march and make demos but the majority of society doesn\\'t give a sh*t.\"There is still a long way to go in Latin America for Indigenous People, let alone their representation in sports.', 'entities': [{'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}, {'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'DENNIS BANKS', 'tgt_id': 'AMERICAN INDIAN MOVEMENT', 'description': 'Dennis Banks was a longtime leader of the American Indian Movement.', 'weight': 0.9, 'order': 1}, {'src_id': 'DENNIS BANKS', 'tgt_id': 'WASHINGTON REDSKINS', 'description': 'Dennis Banks devoted much of his life to campaigning for the team formerly known as the Washington Redskins to change its name.', 'weight': 0.8, 'order': 1}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'WASHINGTON FOOTBALL TEAM', 'description': 'The killing of George Floyd forced the Washington Football Team to review its association with Native American heritage.', 'weight': 0.8, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'KANSAS CITY CHIEFS', 'description': 'The killing of George Floyd forced the Kansas City Chiefs to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CLEVELAND INDIANS', 'description': 'The killing of George Floyd forced the Cleveland Indians to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'ATLANTA BRAVES', 'description': 'The killing of George Floyd forced the Atlanta Braves to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CHICAGO BLACKHAWKS', 'description': 'The killing of George Floyd forced the Chicago Blackhawks to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'EDMONTON ESKIMOS', 'tgt_id': 'EDMONTON FOOTBALL TEAM', 'description': 'The Edmonton Eskimos retired their name and became the Edmonton Football Team.', 'weight': 0.8, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAA GENT', 'description': 'Both Exeter Chiefs and KAA Gent use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both Exeter Chiefs and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'KAA GENT', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both KAA Gent and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'GUARANI FC', 'tgt_id': 'CLUB GUARANI', 'description': 'Both Guarani FC and Club Guarani are named after the Guarani people.', 'weight': 0.7, 'order': 1}, {'src_id': 'CHAPECOENSE', 'tgt_id': 'BRASIL DE PELOTAS', 'description': 'Both Chapecoense and Brasil de Pelotas have associations with indigenous culture.', 'weight': 0.7, 'order': 1}, {'src_id': 'COLO-COLO', 'tgt_id': 'MAPUCHE', 'description': 'Colo-Colo is named after a Mapuche tribal leader and has actively engaged with the Indigenous community.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsRory McIlroy and Luke Donald lead the way after second day in DubaiScotland\\'s 189th ranked Marc Warren also level with leaders on 11-underSergio Garcia equals course record of 64 following round of eight-underSouth African duo Louis Oosthuizen and Branden Grace a shot off the leadRory McIlroy and Luke Donald look set to fight it out for the $8million prize at the World Tour Championship after finishing level at the top of the leaderboard Friday.The pair, who are joined on 11-under by Scotland\\'s world No.189 Marc Warren, are in pole position after another impressive day on the Earth course.World no.1 McIlroy, who revealed that he had been suffering with the extreme heat, looked in top form with tennis ace girlfriend Caroline Wozniacki smiling on from the gallery.Top two dominate in Dubai   \"I didn\\'t feel great last night, but I felt much better this morning and felt nearly 100 % on the golf course,\" McIlroy told reporters.   \"I guess it\\'s just us Irish and the skin just not used to this sort of sun.  That\\'s my excuse anyway.JUST WATCHEDTiger and Rory talk friendly competitionReplayMore Videos ...MUST WATCHTiger and Rory talk friendly competition 01:29JUST WATCHEDExclusive: Tiger and Rory\\'s \\'bromance\\'ReplayMore Videos ...MUST WATCHExclusive: Tiger and Rory\\'s \\'bromance\\' 09:34JUST WATCHEDOchoa: Motherhood has changed meReplayMore Videos ...MUST WATCHOchoa: Motherhood has changed me 06:03   \"I played well. I continued to drive the ball really well and gave myself plenty of opportunities. It was a solid round and obviously, puts me in a good position going into the weekend.   \"I am as motivated as I have been the whole year and I am not going to let it drop just for this week.\"McIlroy clinches money list doubleIt was another successful day for Englishman Donald, who hit a bogey-free round of 68 with two birdies on either half of the course. \"I haven\\'t dropped a shot in 36 holes, so that feels really good,\" he said.\"But it  wasn\\'t quite as good on the greens today...I had some opportunities on a few  holes that I just misread.\"While the world\\'s top two have dominated, the emergence of Warren has come of something of a surprise, not least to the man himself.   \"It was nice to be the Scot in that pack with the Englishman and the  Northern Irishman,\" said Warren, who is ranked 55th in the Race to Dubai.   \"It\\'s great to be in contention with guys like that. I just looked at the  leaderboard and kind of enjoyed it really. \"At the same time, I am just trying to stay patient and keep doing what I am doing. I am really looking forward to the weekend.\"While the top three stole the headlines, it was Spain\\'s Sergio Garcia who carded the round of the day after equalling the course record of eight-under 64.Elsewhere, South African pair Louis Oosthuizen (67) and Branden Grace (65) sit a shot off the lead with Masters champion Charl Schwartzel (67) and Scotsman Richie Ramsay (68) tied for sixth at nine-under par.', 'entities': [{'entity_name': 'RORY MCILROY', 'entity_type': 'PERSON', 'description': 'World no.1 golfer who is leading the tournament in Dubai.', 'importance_score': 1.0}, {'entity_name': 'LUKE DONALD', 'entity_type': 'PERSON', 'description': 'English golfer who is tied with Rory McIlroy at the top of the leaderboard.', 'importance_score': 0.9}, {'entity_name': 'MARC WARREN', 'entity_type': 'PERSON', 'description': \"Scotland's 189th ranked golfer who is also level with the leaders on 11-under.\", 'importance_score': 0.8}, {'entity_name': 'SERGIO GARCIA', 'entity_type': 'PERSON', 'description': 'Spanish golfer who equalled the course record of 64 following a round of eight-under.', 'importance_score': 0.7}, {'entity_name': 'LOUIS OOSTHUIZEN', 'entity_type': 'PERSON', 'description': 'South African golfer who is a shot off the lead.', 'importance_score': 0.6}, {'entity_name': 'BRANDEN GRACE', 'entity_type': 'PERSON', 'description': 'South African golfer who is a shot off the lead.', 'importance_score': 0.6}, {'entity_name': 'CAROLINE WOZNIACKI', 'entity_type': 'PERSON', 'description': 'Tennis ace girlfriend of Rory McIlroy, present in the gallery.', 'importance_score': 0.5}, {'entity_name': 'DUBAI', 'entity_type': 'LOCATION', 'description': 'Location where the golf tournament is taking place.', 'importance_score': 0.9}, {'entity_name': 'WORLD TOUR CHAMPIONSHIP', 'entity_type': 'EVENT', 'description': 'Golf tournament where the players are competing for an $8million prize.', 'importance_score': 1.0}, {'entity_name': '$8MILLION', 'entity_type': 'MONEY', 'description': 'Prize money for the winner of the World Tour Championship.', 'importance_score': 0.8}], 'relationships': [{'src_id': 'RORY MCILROY', 'tgt_id': 'LUKE DONALD', 'description': 'Rory McIlroy and Luke Donald are tied at the top of the leaderboard in the World Tour Championship.', 'weight': 1.0, 'order': 1}, {'src_id': 'RORY MCILROY', 'tgt_id': 'MARC WARREN', 'description': 'Rory McIlroy is tied with Marc Warren at the top of the leaderboard.', 'weight': 0.9, 'order': 1}, {'src_id': 'LUKE DONALD', 'tgt_id': 'MARC WARREN', 'description': 'Luke Donald is tied with Marc Warren at the top of the leaderboard.', 'weight': 0.9, 'order': 1}, {'src_id': 'RORY MCILROY', 'tgt_id': 'SERGIO GARCIA', 'description': 'Rory McIlroy is leading the tournament, while Sergio Garcia equalled the course record.', 'weight': 0.8, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'SERGIO GARCIA', 'description': 'Luke Donald is leading the tournament, while Sergio Garcia equalled the course record.', 'weight': 0.8, 'order': 2}, {'src_id': 'RORY MCILROY', 'tgt_id': 'LOUIS OOSTHUIZEN', 'description': 'Rory McIlroy is leading the tournament, while Louis Oosthuizen is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'LOUIS OOSTHUIZEN', 'description': 'Luke Donald is leading the tournament, while Louis Oosthuizen is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'RORY MCILROY', 'tgt_id': 'BRANDEN GRACE', 'description': 'Rory McIlroy is leading the tournament, while Branden Grace is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'BRANDEN GRACE', 'description': 'Luke Donald is leading the tournament, while Branden Grace is a shot off the lead.', 'weight': 0.7, 'order': 2}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men\\'s elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that\\'s why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it\\'s also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge\\'s world record time two years ago. Bekele catches his breath after this year\\'s Berlin Marathon. Despite expectations that he could challenge Kipchoge\\'s record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night\\'s sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It\\'s a little bit tough for me because the day before also I couldn\\'t sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I\\'ve recovered well ... At this moment, I\\'m really strong. I hope I\\'ll achieve a good result on Sunday.\"For race organizers, who called off last year\\'s New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele\\'s 5,000m world record stood for 16 years before it was broken by Uganda\\'s Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has \\'the qualities of an ascetic monk\\'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya\\'s Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance\\'s two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city\\'s five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It\\'s more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands\\' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women\\'s race is headlined by Kenya\\'s Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA\\'s Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he\\'s grateful to be able to race in New York following the pandemic and last year\\'s cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Kenenisa Bekele\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"New York City Marathon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Annual marathon in New York City, returning after a two-year hiatus due to the pandemic.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Eliud Kipchoge\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Marathon world record holder and dominant runner over the 26.2 miles of a marathon.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Berlin Marathon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Annual marathon in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Guye Adola\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Winner of the Berlin Marathon, finishing more than a minute ahead of Kenenisa Bekele.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Adbi Nageeye\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Dutch runner who won the silver medal at the Olympics in Sapporo and will compete in the New York City Marathon.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Kibiwott Kandie\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Half marathon world record holder from Kenya, making his marathon debut in New York.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Peres Jepchirchir\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Kenyan runner and gold medalist at the Olympics, headlining the women\\'s race in the New York City Marathon.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Molly Seidel\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"American runner and Olympic bronze medalist, competing in the New York City Marathon.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Shalane Flanagan\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"US star attempting to run six marathons in 42 days, including the New York City Marathon.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"New York City Marathon\",\\n\\n\"description\": \"Kenenisa Bekele is primed to compete in the New York City Marathon.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Eliud Kipchoge\",\\n\\n\"description\": \"Kenenisa Bekele aims to make more history in his storied career, comparing himself to Eliud Kipchoge.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Berlin Marathon\",\\n\\n\"description\": \"Kenenisa Bekele had a disappointing outing at the Berlin Marathon six weeks ago.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Guye Adola\",\\n\\n\"description\": \"Kenenisa Bekele finished third in the Berlin Marathon, more than a minute behind winner Guye Adola.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Adbi Nageeye\",\\n\\n\"description\": \"Adbi Nageeye will compete in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Kibiwott Kandie\",\\n\\n\"description\": \"Kibiwott Kandie will make his marathon debut in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Peres Jepchirchir\",\\n\\n\"description\": \"Peres Jepchirchir will headline the women\\'s race in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Molly Seidel\",\\n\\n\"description\": \"Molly Seidel will compete in the New York City Marathon.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Shalane Flanagan\",\\n\\n\"description\": \"Shalane Flanagan will aim to complete her challenge of running six marathons in 42 days in the New York City Marathon.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': ' (CNN)This weekend either Lewis Hamilton or Max Verstappen will be crowned the Formula One world champion. Either way, the sport won big in 2021. This year\\'s success starts with a boom in the sport\\'s fanbase that can be pinned to Netflix\\'s \"Drive to Survive\" docuseries. The show is a crash course on the 10 teams, the 20 drivers, the rivalries between them and the race competition structure. A word-of-mouth campaign for the series along with short, easy viewing episodes made it a perfect pandemic-time binge watch for millions around the world.The series\\' intimate interviews combined with the best action from races and the high level drama is a strong pitch for the real-life spectacle of Formula One.The multifaceted storytelling lets fans focus on the aspects of the sport that most appeal to them. And most importantly, \"Drive to Survive\" primed fans for an easy transition to the track when the 2021 season started.Read MoreThe popularity of the Netflix program, notably in the US, has paid dividends. ESPN says its race viewership in 2021 is up 56% over 2020. There was record attendance at the US Grand Prix in Austin this October -- drivers also credit the docuseries for the sport\\'s growth, including Hamilton himself. READ: Title rivals wary of being on collision course in Abu Dhabi showdownMax Verstappen and Lewis Hamilton have created a thrilling title race. Title race enthralls New fans are important but getting them to stick with the sport is critical. This year\\'s constant action on the track anchored by the Hamilton-Verstappen title fight has satisfied the second part of that equation. Eyes across the globe will be on all 58 laps in Abu Dhabi on Sunday, the final race to determine who takes home the title. Up until the last lap, every second of the season has been and will be a nail biter.All the variables that brought the two drivers to tally the same exact score heading into the finale is what kept fans\\' attention throughout the season. Think Verstappen\\'s car perched on top of Hamilton\\'s after the crash in Monza or the smoke rising forebodingly from Hamilton\\'s brakes seconds before the restart in Baku. Verstappen\\'s car ended up on top of Hamilton\\'s at the Italian Grand Prix in September.The best racing is when the two are at it, wheel-to-wheel, like they were through the opening laps of the British Grand Prix.Sprint Qualifying, a format introduced to three weekends this season was seen across the community as a controversial addition to the sport. Despite that, it provided something new for fans who welcomed the extra racing.F1 still has improvements to make on several fronts that would make the sport and viewing experience more inclusive.There is still an obvious need for greater diversity behind the wheel and in the institution itself. The league\\'s first full-time driver from China, Guanyu Zhou, will be a much-welcomed addition to the track when he makes his debut next season. However, it is hard to ignore just how White and male dominated the sport is.JUST WATCHEDValtteri Bottas: F1 title race will go down to the wireReplayMore Videos ...MUST WATCHValtteri Bottas: F1 title race will go down to the wire 04:17The FIA, the governing body of the sport, also has some work to do to make rules more transparent and easier to follow. Commentators do their best to make sense of the calls being made by the stewards, but sometimes, even they are left scratching their heads -- driver and team penalties often seem totally arbitrary or ill-explained.Fan accessibility will remain a challenge. Part of that is built-in because F1 is a global sport with just over 20 events a year. Those constraints make attending a race weekend expensive. For American fans eager to make it to a race, there is some good news: a race in Miami next season means two races in the US for the first time since 1984.After the exciting culmination of this season comes the anticipation for the next, with new car designs and some changes in the driver lineup. Season four of \"Drive to Survive\" is imminent too. All of that adds up to a feeling that there is so much more to come from the sport. ', 'entities': [{'entity_name': 'LEWIS HAMILTON', 'entity_type': 'PERSON', 'description': 'A Formula One driver who is competing for the world championship.', 'importance_score': 0.9}, {'entity_name': 'MAX VERSTAPPEN', 'entity_type': 'PERSON', 'description': 'A Formula One driver who is competing for the world championship.', 'importance_score': 0.9}, {'entity_name': 'FORMULA ONE', 'entity_type': 'SPORT', 'description': 'A high-profile motor racing sport.', 'importance_score': 0.8}, {'entity_name': 'NETFLIX', 'entity_type': 'ORGANIZATION', 'description': \"A streaming service that produced the 'Drive to Survive' docuseries.\", 'importance_score': 0.7}, {'entity_name': 'DRIVE TO SURVIVE', 'entity_type': 'TV_SHOW', 'description': 'A docuseries on Netflix that focuses on Formula One.', 'importance_score': 0.8}, {'entity_name': 'ESPN', 'entity_type': 'ORGANIZATION', 'description': 'A sports broadcasting network.', 'importance_score': 0.6}, {'entity_name': 'US GRAND PRIX', 'entity_type': 'EVENT', 'description': 'A Formula One race event held in Austin, Texas.', 'importance_score': 0.7}, {'entity_name': 'ABU DHABI', 'entity_type': 'LOCATION', 'description': 'The location of the final race to determine the Formula One world champion.', 'importance_score': 0.6}, {'entity_name': 'GUANYU ZHOU', 'entity_type': 'PERSON', 'description': 'The first full-time driver from China in Formula One.', 'importance_score': 0.5}, {'entity_name': 'FIA', 'entity_type': 'ORGANIZATION', 'description': 'The governing body of Formula One.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'LEWIS HAMILTON', 'tgt_id': 'MAX VERSTAPPEN', 'description': 'Lewis Hamilton and Max Verstappen are competing for the Formula One world championship.', 'weight': 0.9, 'order': 1}, {'src_id': 'DRIVE TO SURVIVE', 'tgt_id': 'FORMULA ONE', 'description': \"The 'Drive to Survive' docuseries on Netflix has increased the popularity of Formula One.\", 'weight': 0.8, 'order': 1}, {'src_id': 'ESPN', 'tgt_id': 'FORMULA ONE', 'description': 'ESPN has reported a 56% increase in race viewership for Formula One in 2021.', 'weight': 0.7, 'order': 1}, {'src_id': 'US GRAND PRIX', 'tgt_id': 'FORMULA ONE', 'description': 'The US Grand Prix is a significant event in the Formula One calendar.', 'weight': 0.7, 'order': 1}, {'src_id': 'ABU DHABI', 'tgt_id': 'FORMULA ONE', 'description': 'The final race of the Formula One season is held in Abu Dhabi.', 'weight': 0.6, 'order': 1}, {'src_id': 'GUANYU ZHOU', 'tgt_id': 'FORMULA ONE', 'description': 'Guanyu Zhou is the first full-time driver from China in Formula One.', 'weight': 0.5, 'order': 1}, {'src_id': 'FIA', 'tgt_id': 'FORMULA ONE', 'description': 'The FIA is the governing body of Formula One.', 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'The Dutch parliament on Thursday passed a non-binding motion saying the treatment of the Uyghur Muslim minority in China amounts to genocide, the first such move by a European country.Activists and United Nations rights experts say at least one million Muslims are being detained in camps in the remote western region of Xinjiang. The activists and some Western politicians accuse China of using torture, forced labor and sterilizations.China denies any human rights abuses in Xinjiang and says its camps provide vocational training and are needed to fight extremism.\"A genocide on the Uyghur minority is occurring in China,\" the Dutch motion said, stopping short of directly saying that the Chinese government was responsible.The Chinese Embassy in The Hague said on Thursday any suggestion of a genocide in Xinjiang was an \"outright lie\" and the Dutch parliament had \"deliberately smeared China and grossly interfered in China\\'s internal affairs.\"The frozen Hofvijver pond is seen outside the Dutch parliament buildings in The Hague, Netherlands, Tuesday, February 9.Read MoreCanada passed a non-binding resolution labeling China\\'s treatment of the Uyghurs genocide earlier this week.The Dutch motion said that actions by the Chinese government such as \"measures intended to prevent births\" and \"having punishment camps\" fell under United Nations Resolution 260, generally known as the genocide convention.Prime Minister Mark Rutte\\'s conservative VVD party voted against the resolution.\\'Great concern\\'Foreign Minister Stef Blok said the government did not want to use the term genocide, as the situation has not been declared as such by the United Nations or by an international court.\"The situation of the Uyghurs is a cause of great concern\", Blok told reporters after the motion was passed, adding that the Netherlands hoped to work with other nations on the matter.The author of the motion, lawmaker Sjoerd Sjoerdsma of the centre-left D-66 Party, has separately proposed lobbying the International Olympic Committee to move the 2022 Winter Olympics away from Beijing.JUST WATCHEDLeaked records expose China\\'s Xinjiang campsReplayMore Videos ...MUST WATCHLeaked records expose China\\'s Xinjiang camps 06:57\"Recognizing the atrocities that are taking place against the Uyghurs in China for what they are, namely genocide, prevents the world from looking the other way and forces us into action,\" he told Reuters in an emailed response to questions.In a statement on its website, the Chinese Embassy in The Hague said the Uyghur population in Xinjiang has been growing in in recent years, enjoying a higher standard of living, and a longer life expectancy.\"How can you call this a genocide?\" it said. \"Xinjiang-related issues are never about human rights, ethnicity or religion, but about combating violent terrorism and secession.\"China\\'s ambassador to the United Nations in Geneva accused Western powers on Wednesday of using the Uyghur issue to meddle in his country\\'s internal affairs.', 'entities': [{'entity_name': 'DUTCH PARLIAMENT', 'entity_type': 'ORGANIZATION', 'description': 'The legislative body of the Netherlands that passed a non-binding motion regarding the treatment of the Uyghur Muslim minority in China.', 'importance_score': 0.9}, {'entity_name': 'CHINA', 'entity_type': 'LOCATION', 'description': \"A country where the Uyghur Muslim minority is allegedly being subjected to genocide according to the Dutch parliament's motion.\", 'importance_score': 0.9}, {'entity_name': 'UYGHUR MUSLIM MINORITY', 'entity_type': 'NATIONALITY', 'description': 'A group of people in China who are the subject of a non-binding motion passed by the Dutch parliament, alleging genocide.', 'importance_score': 0.8}, {'entity_name': 'UNITED NATIONS', 'entity_type': 'ORGANIZATION', 'description': 'An international organization that has rights experts who report on the situation of the Uyghur Muslim minority in China.', 'importance_score': 0.7}, {'entity_name': 'XINJIANG', 'entity_type': 'LOCATION', 'description': 'A remote western region of China where at least one million Muslims are reportedly being detained in camps.', 'importance_score': 0.8}, {'entity_name': 'MARK RUTTE', 'entity_type': 'PERSON', 'description': \"The Prime Minister of the Netherlands whose conservative VVD party voted against the resolution labeling China's treatment of the Uyghurs as genocide.\", 'importance_score': 0.7}, {'entity_name': 'STEF BLOK', 'entity_type': 'PERSON', 'description': 'The Foreign Minister of the Netherlands who expressed great concern about the situation of the Uyghurs but did not want to use the term genocide.', 'importance_score': 0.7}, {'entity_name': 'SJOERD SJOERDSMA', 'entity_type': 'PERSON', 'description': 'A lawmaker from the centre-left D-66 Party who authored the motion and proposed lobbying the International Olympic Committee to move the 2022 Winter Olympics away from Beijing.', 'importance_score': 0.7}, {'entity_name': 'INTERNATIONAL OLYMPIC COMMITTEE', 'entity_type': 'ORGANIZATION', 'description': 'An international organization that Sjoerd Sjoerdsma proposed to lobby to move the 2022 Winter Olympics away from Beijing due to the Uyghur situation.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'DUTCH PARLIAMENT', 'tgt_id': 'CHINA', 'description': 'The Dutch parliament passed a non-binding motion saying the treatment of the Uyghur Muslim minority in China amounts to genocide.', 'weight': 0.9, 'order': 1}, {'src_id': 'CHINA', 'tgt_id': 'UYGHUR MUSLIM MINORITY', 'description': \"China is accused of committing genocide against the Uyghur Muslim minority, according to the Dutch parliament's motion.\", 'weight': 0.9, 'order': 1}, {'src_id': 'UNITED NATIONS', 'tgt_id': 'XINJIANG', 'description': 'United Nations rights experts report that at least one million Muslims are being detained in camps in the remote western region of Xinjiang.', 'weight': 0.8, 'order': 1}, {'src_id': 'MARK RUTTE', 'tgt_id': 'DUTCH PARLIAMENT', 'description': \"Mark Rutte's conservative VVD party voted against the resolution in the Dutch parliament labeling China's treatment of the Uyghurs as genocide.\", 'weight': 0.7, 'order': 1}, {'src_id': 'STEF BLOK', 'tgt_id': 'UYGHURS', 'description': 'Foreign Minister Stef Blok expressed great concern about the situation of the Uyghurs but did not want to use the term genocide.', 'weight': 0.7, 'order': 1}, {'src_id': 'SJOERD SJOERDSMA', 'tgt_id': 'INTERNATIONAL OLYMPIC COMMITTEE', 'description': 'Sjoerd Sjoerdsma proposed lobbying the International Olympic Committee to move the 2022 Winter Olympics away from Beijing due to the Uyghur situation.', 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)It\\'s a question that has been asked for 50 years -- again and again.\"Why do these people continue to make a mockery of our culture?\" The question in 1970 was posed by Dennis Banks in reference to the use of Native American heritage being used for names and mascots for American sports teams. Banks was a Native American activist and a longtime leader of the American Indian Movement (AIM).Banks devoted much of his life and attention to campaigning for the team formerly known as the Washington Redskins to change its name.He died in 2017, aged 80, with the team\\'s name still intact.The Washington Football Team changed its name after 50 years of protests.Read MoreThe year 2020 put the issue of race front and center of political and societal debate.The killing of George Floyd also forced many sport teams that utilize Native American heritage to review that association -- be it their name or logo.Washington has changed its logo and is now known as the Washington Football Team. Additionally, the Kansas City Chiefs in the NFL, the Cleveland Indians and Atlanta Braves in the MLB, and the Chicago Blackhawks in the NHL have all looked inwards and made changes.Changes also came in Canada. In July, the Edmonton Eskimos football team announced that the team would retire the \"Eskimos\" name. The Inuit -- Indigenous People of the Canadian Arctic -- often take offense at the term \"Eskimo.\" \"While many fans are deeply committed to keeping the name, others are increasingly uncomfortable with the moniker,\" said the club in an official statement. The club said it had engaged with Inuit communities in recent years to discuss the name and felt now the time was right to change it.The team has retained its recognizable \"EE\" logo, but is yet to choose a new name. For the moment, the club is called the Edmonton Football Team or the EE Football Team. While originally a placeholder name, Washington president Jason Wright said the \"Football Team\" name may remain the team\\'s long-term name.But across the rest of the world, notably in Latin America, there\\'s arguably been less willingness to engage with the idea of what these associations potentially mean for Indigenous communities.In Latin America, it isn\\'t just the sporting world turning its back on Indigenous communities. According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.For Native Americans, the use -- and abuse -- of their images, likenesses and culture in sports is a contemporary form of the marginalization they have historically experienced.The director of First Peoples Worldwide Carla Fredericks told CNN that a lot of the offense caused is due to false representation and outright racism.\"Of course, in the US, Native Americans have endured a really brutal history of colonization, marginalization, and so on,\" she says.\"And one of the kind of end results about that is that Americans really don\\'t have a good grip on who contemporary Native American people are and so the only representative of us is the representation that we see in sport -- for many people. \"And obviously that\\'s troubling because that\\'s a caricatured representation and not an accurate representation of living, breathing cultures.\" The use of indigenous culture in sport is, therefore, an act that reminds Native Americans of their historic oppression at the hands of colonizers.There is also evidence to suggest that caricaturing Indigenous culture in sports causes depression, low self-esteem, substance abuse and even suicide among Native American youth.According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.Fredericks adds that \"the notion of consent and stakeholder engagement\" -- or lack thereof -- is central to the issue too.She says consent is key when considering the acceptability of the use of Indigenous Peoples\\' culture, pointing to the UN Declaration on the Rights of Indigenous Peoples.\"I think the right approach at this point in time is really to seek counsel from those communities and ask them, you know, \\'Where do you stand on this? Is this something that you appreciate? Is it something that is harmful to you?\\'\"The issue has long been the focal point of media and activist attention in the US, particularly over professional sports franchises. But it is not a uniquely American issue, and it is not a social phenomenon that affects just Native Americans. It is a global problem, and one that affects Indigenous people around the world. The story beyond North AmericaThe Exeter Chiefs rugby union team in the UK, the KAA Gent soccer team in Belgium and the Kaizer Chiefs soccer team in South Africa all use a Native American man in headdress as their logos.While teams in the US are reviewing and removing similar logos and names, these teams have each chosen to keep their logo. This is in spite of public pressure in some cases.The logos of soccer teams Kaizer Chiefs in South Africa, KAA Gent in Belgium and rugby team Exeter Chiefs in the UK all have a Native American wearing a headdress.A recent petition, launched by an Exeter fan named Ash Green, asked the Exeter Chiefs to change its \"harmful use of Indigenous Peoples\\' imagery and branding.\" It initially gained 3,700 signatures and the club announced its board would meet to discuss a rebranding. However, that meeting resulted in only the retirement of the team\\'s mascot, \"Big Chief.\" The club released a statement saying that the logo would remain, and that the board took the view that it was \"in fact highly respectful.\"As for the \"Chiefs\" name, the club said that the name \"dated back into the early 1900s and had a long history with people in the Devon area,\" the English county in which Exeter lies.The Exeter Chiefs for Change, a group campaigning for the club to change its name and remove references to Native American culture, released a statement labeling the decision as \"incredibly disappointing,\" and that the club had \"thrown away an opportunity to show itself as an inclusive club.\" \"We accept that the intention of the club for the branding was originally positive and not derogatory,\" they continued. \"But now they know it is not perceived in that way, they are making a conscious decision to be intentionally offensive by continuing to use it.\"The group concluded its statement saying that they were \"horrified\" and that \"the decision will not age well.\"In their statement, the Chiefs said the club will be making no further comment on the matter.Exeter Chiefs rugby team has retired its mascot \"Big Chief\" but will not remove the \"Chiefs\" part of its name. KAA Gent has an extensive section on its website that speaks to the historic oppression and present-day struggle of Native Americans. It also explains the history of the club\\'s logo, and that the cultural context was \"a positive one.\" It says that the club represents \"respect, courage and honor. Values that they attributed to the Native Americans rather than to their White oppressor.\"Despite acknowledging the potential offense that its logo may cause, the club explains that it chooses to retain the logo as it \"draws attention throughout Europe to the social situation facing the Native American population today.\"KAA Gent acknowledge potential offense the team\\'s logo can cause, but said it would remain the club\\'s logo.In addition, the club says through its foundation, it is \"willing to investigate, along with representatives of the Native American population, if and how KAA Gent can organize a social partnership with an initiative in the United States that aims to bring about an improvement in the standard of living experienced by Native Americans, using football as a powerful instrument.\"CNN was told by the club that it reached out to \"some [Native American] organizations/representatives\" via Facebook in 2018 but received no rejection or acceptance of an \"exchange of views.\"The club says if a Native American organization did reach out, representatives \"would listen respectfully and try to establish such a partnership for the future.\"CNN contacted Kaizer Chiefs but did not receive a response at the time of publication.The Latin American storyIn Latin America, there is a case to be made that not only do the clubs not engage with Indigenous communities, but actively ignore scrutiny of practices. Only two of the five Latin American clubs contacted for this story responded to CNN.Guarani people are indigenous to South America, and live in Paraguay, Brazil, Argentina, Uruguay and Bolivia.The Guarani people represent the largest indigenous group in Brazil with a population of 51,000.They are one of the most vulnerable Indigenous groups in the world. In 2013, it was found that Guarani people suffer a murder rate four times higher than the national homicide rate in Brazil, according to the Brazilian non-governmental organization CIMI.Most of their land was taken from them during the twentieth century, and they have an unequaled suicide rate in South America.Guarani people in Brazil are one of the most vulnerable Indigenous groups in the world.In the world of soccer, there are numerous Brazilian teams named after the Guarani people.Second division side Guarani FC last played in the top division in 2010 and won the Serie A title in 1978.In Paraguay, the fourth most successful team is Club Guarani. These two sides represent the best known \"Guarani\" soccer clubs and it is unclear whether the clubs ever obtained the consent of the Guarani people. CNN reached out to both clubs to seek comment but didn\\'t receive a response from either.Guarani FC is based in Campinas, and is named in homage to the opera Il Guarany by Campinas-born composer Carlos Gomes. While the name is born out of an opera, it still marks an appropriation of an Indigenous peoples\\' identity.Fans of Guarani sometimes use an ethnic slur for an Indigenous Brazilian when referring to the club.Guarani FC have been promoted back to the Brazilian Serie A after one season in Serie B. The club came second to Neymar\\'s Santos in the 2012 Campeonato Paulista.There are numerous other examples across the continent where Indigenous culture is used by clubs without affiliation to Indigenous groups.Chapecoense made global headlines after a 2016 plane crash killed the vast majority of players and staff at the club.The club\\'s stadium was formerly known as Estadio Indio Conda. Brazilian football historian and podcaster Matias Pinto says that in Latin America, Indio is often a word regularly utilized as a racial slur that connotes indigenous people. \"In Brazil and other parts of Latin America, it depends how you say it. But when you chant \\'Indio\\' it\\'s derogatory,\" he says.He also adds that the club has no link to native people.\"Conda is an Indigenous leader from the past, so they honor this native hero in the West of Santa Catarina. But the Chapecoense fans are not native. They are mostly European descendants from the 19th century.\"The club\\'s mascot is an indigenous person -- in reality, a person wearing Chapecoense kit alongside a mask of an indigenous person. One can also download a cartoon image of the mascot from the club\\'s website, which is entitled \"Indio.\"Chapecoense was contacted by CNN but did not receive a response at the time of publication.Chapecoense\\'s mascot is an indigenous person.\"They were barbarians, they looked like the Xavantes.\"It isn\\'t just appropriation that can cause problems for Indigenous People, as Fredericks says: \"Unfortunately, because of the nature of sport, not only home team fans might behave in a way that\\'s very disparaging and appropriative. But the opposing team fans might engage in behavior that\\'s very insulting towards people.\"The Xavante are an Indigenous People in Brazil numbering approximately 22,000, according to Povos Indigenas no Brasil. Fans of the football club Gremio Esportivo Brasil, also known as Brasil de Pelotas -- which is based in the south of Brazil -- have been nicknamed Xavantes since 1946. According to an official statement made to CNN by the club, the nickname came about following a 1946 match against its main rivals Esporte Clube Pelotas. Down 3-1 at half time, Brasil de Pelotas came back in the second half to win 5-3. After the final whistle, fans of Brasil de Pelotas destroyed the fence separating the field from the stands and broke onto the field to celebrate.Following the game and the subsequent field invasion, an Esporte Clube Pelotas official gave a statement to the press, saying: \"They were barbarians, they looked like the Xavantes.\"Fans of Brasi de Pelotas, who wear red and black, are known as Xavantes after an official of a rival used it as a slur against them in 1946.The name was soon adopted by Brasil de Pelotas fans with pride and the club says that \"despite the pejorative\" meaning behind the name, it sees the name as \"an honor.\"\"It relates to the bravery of the indigenous tribe with the team. In our history, we have as main characteristics the guts, the fight for every ball and not to give up any play.\"The fans and the club adhered to the nickname and the likeable figure of the Indian, and today we are known in the country as Xavante, the red-black gaucho. And we won\\'t change it.\"Sao Paolo-based Pinto says that it goes further than that: \"It started with a slur but nowadays Brasil de Pelotas fans are very proud [to be] Xavantes,\" as fans perceive themselves similarly to the Xavante people: warlike, brave and tough.\"Pelotas is a city that is facing an exodus,\" he says. \"People are moving to other parts of Brazil. So they have a lot of supporters\\' clubs around Brazil and they always merge the name of the state/city with Xavantes.\"Pinto says that racist slurs against Indigenous People are most common in intercontinental football matches in South America.\"In the continental competitions it happens too. Here in Sao Paulo, we do not have a lot of Indigenous, in Buenos Aires and Montevideo too. In Sao Paulo we are more Black or White, not Indigenous. \"So when a club from Bolivia or Peru or Ecuador [visits], countries in the middle [of the continent] are closer to indigenous traces, the supporters from Brazilian clubs, Argentinian clubs, Uruguayan clubs reference these people as \\'Indios.\\'\"Brazilian president Jair Bolsonaro has actively sought to limit the legal protections of Indigenous People.While racism against Indigenous People through sport continues across the continent, in Brazil Pinto offers that, \"they have more urgent issues [with which] to struggle.\"He speaks with reference to president Jair Bolsonaro and the policies towards Indigenous People during his presidency.\"It was a promise that [Bolsonaro] made in his campaign,\" Pinto says. \"He will not concede any land to the communities, that he will explore the surface for miners, and the environmental minister is very close to the farmers and miners. So the Indigenous, since the first day of this government, are very scared about these promises.\"During the Covid-19 pandemic, Bolsonaro has actively sought to limit protections of Indigenous People as well as devastating indigenous lands while the world is distracted. CNN contacted the Brazilian government but did not receive a response at the time of publication.Positive steps in Latin AmericaChile\\'s most successful club Colo-Colo was founded by a White Chilean footballer but is named after Colocolo, a Mapuche tribal leader during the Arauco War fought against the Spanish colonizers.The club\\'s badge also features the likeness of Colocolo.Colo-Colo\\'s badge depicts its namesake, the Mapuche tribal leader Colocolo. Unlike many other clubs, Colo-Colo has actively engaged with the Indigenous community on which its name is based.In a statement, the club told CNN it believes there are \"essential differences\" from other teams around the globe which \"have a negative or derogatory charge.\"According to Pinto, the club was founded by \"rebels and workers\", so it acts as a symbol of an oppressed people fighting against oppressive powers.The club told CNN that the \"Mapuche identity is present and diluted in the Chilean population in a patent and documented way\" and as such the club has taken steps to recognize that.Colo-Colo flies the Mapuche flag alongside the Chilean flag at its stadium, and signage around the ground is written in both Spanish and Mapuche.The club said it was making efforts \"to seek an understanding and solution of the demands of the Mapuche people,\" along with \"performing ceremonies such as the the Mapuche June Solstice celebration in the stadium together with partners, fans, Mapuche communities and club authorities.\"Tribe members march for indigenous territorial rights on November 11, 2015 in Angra dos Reis, Brazil. Members of the Pataxo and Guarani tribes in Rio de Janeiro state joined the march. Pinto is less optimistic that real change will happen soon. Speaking of indigenous communities in his local Rio state, he said: \"They are very threatened by the Rio state ... they [Indigenous People] march and make demos but the majority of society doesn\\'t give a sh*t.\"There is still a long way to go in Latin America for Indigenous People, let alone their representation in sports.', 'entities': [{'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}, {'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'DENNIS BANKS', 'tgt_id': 'AMERICAN INDIAN MOVEMENT', 'description': 'Dennis Banks was a longtime leader of the American Indian Movement.', 'weight': 0.9, 'order': 1}, {'src_id': 'DENNIS BANKS', 'tgt_id': 'WASHINGTON REDSKINS', 'description': 'Dennis Banks devoted much of his life to campaigning for the team formerly known as the Washington Redskins to change its name.', 'weight': 0.8, 'order': 1}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'WASHINGTON FOOTBALL TEAM', 'description': 'The killing of George Floyd forced the Washington Football Team to review its association with Native American heritage.', 'weight': 0.8, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'KANSAS CITY CHIEFS', 'description': 'The killing of George Floyd forced the Kansas City Chiefs to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CLEVELAND INDIANS', 'description': 'The killing of George Floyd forced the Cleveland Indians to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'ATLANTA BRAVES', 'description': 'The killing of George Floyd forced the Atlanta Braves to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CHICAGO BLACKHAWKS', 'description': 'The killing of George Floyd forced the Chicago Blackhawks to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'EDMONTON ESKIMOS', 'tgt_id': 'EDMONTON FOOTBALL TEAM', 'description': 'The Edmonton Eskimos retired their name and became the Edmonton Football Team.', 'weight': 0.8, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAA GENT', 'description': 'Both Exeter Chiefs and KAA Gent use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both Exeter Chiefs and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'KAA GENT', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both KAA Gent and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'GUARANI FC', 'tgt_id': 'CLUB GUARANI', 'description': 'Both Guarani FC and Club Guarani are named after the Guarani people.', 'weight': 0.7, 'order': 1}, {'src_id': 'CHAPECOENSE', 'tgt_id': 'BRASIL DE PELOTAS', 'description': 'Both Chapecoense and Brasil de Pelotas have associations with indigenous culture.', 'weight': 0.7, 'order': 1}, {'src_id': 'COLO-COLO', 'tgt_id': 'MAPUCHE', 'description': 'Colo-Colo is named after a Mapuche tribal leader and has actively engaged with the Indigenous community.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsThe Man v Fat soccer league is exclusively for men with a body mass index of 30 or moreThe league helps players lose weight, but it also gives them a built-in support group (CNN)After reviewing restaurants for years, Andrew Shanahan became obese and was looking for a way to lose weight.But it wasn\\'t easy to find a program tailored to men. Every time he tried joining a weight-loss group, he was the only man in the room. \"I wondered how many other men felt that there was something missing and who weren\\'t getting the support that you desperately need when you\\'re trying to lose weight,\" he said.So in 2014, with the help of a crowdfunding campaign, Shanahan launched his Man v Fat initiative to reach out to other men like him. The idea drew attention from celebrities such as chef Jamie Oliver, and Shanahan was encouraged to write a book on it the next year. Being based in England, a soccer league seemed like a natural outreach program. And Shanahan received nearly 1,000 applications for 80 spots in the inaugural league, which was created exclusively for men with a body mass index of 30 or more.Read MorePhotographer Simone PerolariMany of the men used to play soccer -- or as it\\'s called in most of the world, football -- but their weight had become an obstacle in pursuing the sport they love.\"I saw people who want to have fun and slim down and believe in what they do,\" said Simone Perolari, who photographed the league and whose images can be seen in the gallery above. \"There is not a space for them in classic football, but some of them are really good players.\"Rob Bird, 40, read about the league in the Birmingham Mail. He played the sport until he was 25, and he calls the 15 years after that the \"fat years\" when he didn\\'t feel comfortable playing. \"I\\'ve always loved football, but playing against \\'normal-size\\' guys left me feeling like I couldn\\'t compete as they were faster,\" Bird said. \"(This league) is a level playing field for bigger guys.\" Shanahan isn\\'t sure what he was expecting to result from the league\\'s first season, but the competitiveness of the players surprised him. \"For a long time they haven\\'t had a level playing field to compete on, so they are all determined to give it everything they have,\" he said. \"Fortunately, even those teams who lose can see that the benefits of losing weight and getting healthy more than make up for not topping the league.\"Social mediaFollow @CNNPhotos on Twitter to join the conversation about photography.Shanahan watched bonds form between the men as they enjoyed their favorite sport and supported one another in their goals to get fit and healthy. After 14 weeks, the 80 team members collectively lost 1,727 pounds, with the average weight loss close to 22 pounds per player. Marcus Farnsworth lost more than 70 pounds and is enjoying the energy boost he\\'s received in return. He hopes it will help with his knees and back as he continues to lose weight. But he also enjoyed the togetherness and support of the guys around him. \"It gives you good motivation if one person is feeling hungry or thinking about snacking,\" Farnsworth said. \"We can give advice and communicate through our WhatsApp group for support.\"Bird has dropped nearly 60 pounds and is now down to 210. His gout and leg ulcer have improved \"immeasurably.\"Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.Rob Bird, a player in the Man v Fat soccer league\"I feel a million times better,\" Bird said. \"This has given me the confidence that if you are making the right choices, you will feel better for it. Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.\"Shanahan is expanding the league across the rest of the United Kingdom beginning in July, and he hopes to start similar leagues in the United States and other countries. \"We saw a lot of health improvements, whether it was guys curing their sleep apnea, reversing their diabetes or lowering their blood pressure,\" Shanahan said. \"The other really notable thing was how much many of the players grew in confidence. \"I think it\\'s a great thing to undertake a project with other people who desperately want the same thing. It gives you energy and impetus. Working with the guys has been one of the greatest privileges of my career. To share in their excitement and to witness their achievements has been amazing.\"Simone Perolari is an Italian photographer based in Paris. You can follow him on Facebook and Instagram.', 'entities': [{'entity_name': 'MAN V FAT SOCCER LEAGUE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer league exclusively for men with a body mass index of 30 or more, helping them lose weight and providing a built-in support group.', 'importance_score': 0.9}, {'entity_name': 'ANDREW SHANAHAN', 'entity_type': 'PERSON', 'description': 'A man who became obese after reviewing restaurants for years and later launched the Man v Fat initiative.', 'importance_score': 0.8}, {'entity_name': 'JAMIE OLIVER', 'entity_type': 'PERSON', 'description': 'A celebrity chef who drew attention to the Man v Fat initiative.', 'importance_score': 0.7}, {'entity_name': 'SIMONE PEROLARI', 'entity_type': 'PERSON', 'description': 'A photographer who documented the Man v Fat soccer league.', 'importance_score': 0.6}, {'entity_name': 'ROB BIRD', 'entity_type': 'PERSON', 'description': 'A player in the Man v Fat soccer league who lost nearly 60 pounds.', 'importance_score': 0.7}, {'entity_name': 'MARCUS FARNSWORTH', 'entity_type': 'PERSON', 'description': 'A player in the Man v Fat soccer league who lost more than 70 pounds.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'ANDREW SHANAHAN', 'tgt_id': 'MAN V FAT SOCCER LEAGUE', 'description': 'Andrew Shanahan launched the Man v Fat soccer league.', 'weight': 1.0, 'order': 1}, {'src_id': 'MAN V FAT SOCCER LEAGUE', 'tgt_id': 'JAMIE OLIVER', 'description': 'The Man v Fat soccer league drew attention from celebrity chef Jamie Oliver.', 'weight': 0.8, 'order': 2}, {'src_id': 'MAN V FAT SOCCER LEAGUE', 'tgt_id': 'SIMONE PEROLARI', 'description': 'Simone Perolari photographed the Man v Fat soccer league.', 'weight': 0.7, 'order': 2}, {'src_id': 'MAN V FAT SOCCER LEAGUE', 'tgt_id': 'ROB BIRD', 'description': 'Rob Bird is a player in the Man v Fat soccer league.', 'weight': 1.0, 'order': 1}, {'src_id': 'MAN V FAT SOCCER LEAGUE', 'tgt_id': 'MARCUS FARNSWORTH', 'description': 'Marcus Farnsworth is a player in the Man v Fat soccer league.', 'weight': 1.0, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)Roger Federer thinks the professional tennis circuit won\\'t return for a while due to the coronavirus pandemic but, when the time does come, the Swiss superstar said he would find it difficult to play without fans. While European football\\'s Bundesliga resurfaced last week behind closed doors and Spain\\'s La Liga is set to resume the middle of next month, the last official word from tennis authorities essentially saw all action suspended through July. The hiatus began in March, with Federer already sidelined since he was recuperating from knee surgery. Sunday would have marked the first day of the French Open in its usual spot on the tennis calendar -- in March, though, it was rescheduled for September -- and another grand slam, Wimbledon in July, was called off. \"I\\'m not training at the moment because I don\\'t see a reason for that to be honest,\" Federer told three-time French Open champion Gustavo Kuerten -- who is raising funds for coronavirus relief efforts in his native Brazil -- in a video interview reported by Tennis.com.Read More\"I am happy with my body now and I still believe that the return of the tour\\xa0is a long way off,\" continued the 38-year-old. \"And I think it\\'s important\\xa0mentally to enjoy this break, having played so much tennis.\\xa0\"When I\\'m getting towards returning and have a goal to train for, I think I will be super motivated.\"We should be sliding into @rolandgarros right now, thinking of our mates in Paris 👋 pic.twitter.com/0PLKryyIjj— #AusOpen (@AustralianOpen) May 24, 2020 Federer is arguably tennis\\' best supported player ever, and the prospect of competing without spectators doesn\\'t appeal to him. \"Most of the time when we are training, there is no one,\" said the men\\'s record 20-time grand slam champion. \"For us, of course, it is possible to play if there are no fans. But on the other hand, I really hope that the circuit can return as it normally is. \"And hold off till the time is appropriate, minimum\\xa0a third of the stadium or half full. But, for me, completely empty when playing big tournaments is very difficult.\"Federer has been active on social media during the lockdown, sparking a public discussion on the merging of the men\\'s and women\\'s tours with a tweet last month and embarking on a funny Instagram Live with tennis rival Rafael Nadal.Nadal, unlike Federer, has started practicing, though only very recently. The Spaniard would have been favored to win a 20th major and tie Federer had the French Open been played as usual given he has collected a record 12 titles at Roland Garros. Here I am, the first pictures I am posting for you on court. This is my practice earlier today at @rnadalacademy #BackOnCourt #BabolatFamily 🎾👍🏻💪🏻😉 pic.twitter.com/x7tzgLj9pc— Rafa Nadal (@RafaelNadal) May 22, 2020 The next grand slam is scheduled to be late August\\'s US Open in New York, with organizers expected to announce in June if it will go ahead.  ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We identify the entities in the text based on the provided entity types and then determine the relationships between these entities. We focus on key entities such as Roger Federer, Rafael Nadal, French Open, and Wimbledon, and their interactions and associations within the context of the text. We also consider the relationships between these entities and other relevant entities like the coronavirus pandemic and the tennis circuit.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Roger Federer\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Swiss professional tennis player, considered one of the greatest of all time.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Rafael Nadal\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Spanish professional tennis player, known for his dominance on clay courts.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"French Open\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A major tennis tournament held over two weeks between late May and early June.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Wimbledon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A major tennis tournament held at the All England Club in Wimbledon, London, every year.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"coronavirus pandemic\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A global outbreak of a novel coronavirus that has led to significant disruptions worldwide.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Roger Federer\",\\n\\n\"tgt_id\": \"French Open\",\\n\\n\"description\": \"Roger Federer discusses the impact of the coronavirus pandemic on the French Open\\'s schedule.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Roger Federer\",\\n\\n\"tgt_id\": \"Wimbledon\",\\n\\n\"description\": \"Roger Federer mentions the cancellation of Wimbledon due to the coronavirus pandemic.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Roger Federer\",\\n\\n\"tgt_id\": \"Rafael Nadal\",\\n\\n\"description\": \"Roger Federer and Rafael Nadal engage in social media interactions during the lockdown.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Rafael Nadal\",\\n\\n\"tgt_id\": \"French Open\",\\n\\n\"description\": \"Rafael Nadal is expected to compete in the French Open, a tournament he has won multiple times.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"coronavirus pandemic\",\\n\\n\"tgt_id\": \"French Open\",\\n\\n\"description\": \"The coronavirus pandemic has caused the French Open to be rescheduled.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"coronavirus pandemic\",\\n\\n\"tgt_id\": \"Wimbledon\",\\n\\n\"description\": \"The coronavirus pandemic has led to the cancellation of Wimbledon.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'London (CNN)Top archbishops in the Church of England have apologized for guidance issued by the church last week that said only married heterosexuals should have sex -- while same-sex or heterosexual Christians in civil partnerships should remain abstinent. Archbishop of Canterbury Justin Welby and Archbishop of York John Sentamu said in a statement Thursday that they took responsibility for last week\\'s announcement, \"which we acknowledge has jeopardized trust.\" \"We are very sorry and recognize the division and hurt this has caused,\" Welby and Sentamu wrote.The statement stopped short of retracting the \"pastoral guidance\" issued by the bishops of the Church of England, which was in response to the extension of civil partnerships to heterosexual couples in the UK.Church of England backs climate-friendly stock index that excludes BP and Exxon MobilThe guidance, published January 22, said \"for Christians, marriage -- that is the lifelong union between a man and a woman, contracted with the making of vows -- remains the proper context for sexual activity.\"Read MoreWhen it comes to civil partnerships, the church sought \"to affirm the value of committed, sexually abstinent friendships.\" It highlighted division between conservatives -- who want the church to stick to a traditional biblical teachings on marriage -- and the church\\'s progressive members. The guidance was described as \"a laughingstock to a nation that believes it (the church) is obsessed with sex,\" in an open letter to the archbishops. The letter, signed by more than 3,000 people, including dozens of members of the clergy, said the bishops\\' guidance \"has significantly damaged the mission of the church and it has broken the trust of those it seeks to serve.\"It goes on to express dismay that a public pronouncement on sex and marriage was made while the church was still undergoing a review of of the issue, called the \"Living in Love and Faith\" project. The letter said its signatories had not expected an announcement on the matter until the project\\'s report was published. \"It seems our trust has been misplaced and we feel badly let down.\" ', 'entities': [{'entity_name': 'LONDON', 'entity_type': 'LOCATION', 'description': 'The capital city of the United Kingdom, mentioned as the location of the news source.', 'importance_score': 0.8}, {'entity_name': 'JUSTIN WELBY', 'entity_type': 'PERSON', 'description': \"The Archbishop of Canterbury, who apologized for the church's guidance on sexual activity.\", 'importance_score': 0.9}, {'entity_name': 'JOHN SENTAMU', 'entity_type': 'PERSON', 'description': \"The Archbishop of York, who also apologized for the church's guidance on sexual activity.\", 'importance_score': 0.9}, {'entity_name': 'CHURCH OF ENGLAND', 'entity_type': 'ORGANIZATION', 'description': 'The established church of England, which issued controversial guidance on sexual activity.', 'importance_score': 0.9}, {'entity_name': 'JANUARY 22', 'entity_type': 'DATE', 'description': 'The date when the pastoral guidance was published by the Church of England.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'JUSTIN WELBY', 'tgt_id': 'CHURCH OF ENGLAND', 'description': \"Justin Welby, as the Archbishop of Canterbury, is responsible for the Church of England's guidance on sexual activity.\", 'weight': 0.9, 'order': 1}, {'src_id': 'JOHN SENTAMU', 'tgt_id': 'CHURCH OF ENGLAND', 'description': \"John Sentamu, as the Archbishop of York, is responsible for the Church of England's guidance on sexual activity.\", 'weight': 0.9, 'order': 1}, {'src_id': 'CHURCH OF ENGLAND', 'tgt_id': 'JUSTIN WELBY', 'description': 'The Church of England issued guidance on sexual activity under the leadership of Justin Welby.', 'weight': 0.9, 'order': 1}, {'src_id': 'CHURCH OF ENGLAND', 'tgt_id': 'JOHN SENTAMU', 'description': 'The Church of England issued guidance on sexual activity under the leadership of John Sentamu.', 'weight': 0.9, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)This weekend either Lewis Hamilton or Max Verstappen will be crowned the Formula One world champion. Either way, the sport won big in 2021. This year\\'s success starts with a boom in the sport\\'s fanbase that can be pinned to Netflix\\'s \"Drive to Survive\" docuseries. The show is a crash course on the 10 teams, the 20 drivers, the rivalries between them and the race competition structure. A word-of-mouth campaign for the series along with short, easy viewing episodes made it a perfect pandemic-time binge watch for millions around the world.The series\\' intimate interviews combined with the best action from races and the high level drama is a strong pitch for the real-life spectacle of Formula One.The multifaceted storytelling lets fans focus on the aspects of the sport that most appeal to them. And most importantly, \"Drive to Survive\" primed fans for an easy transition to the track when the 2021 season started.Read MoreThe popularity of the Netflix program, notably in the US, has paid dividends. ESPN says its race viewership in 2021 is up 56% over 2020. There was record attendance at the US Grand Prix in Austin this October -- drivers also credit the docuseries for the sport\\'s growth, including Hamilton himself. READ: Title rivals wary of being on collision course in Abu Dhabi showdownMax Verstappen and Lewis Hamilton have created a thrilling title race. Title race enthralls New fans are important but getting them to stick with the sport is critical. This year\\'s constant action on the track anchored by the Hamilton-Verstappen title fight has satisfied the second part of that equation. Eyes across the globe will be on all 58 laps in Abu Dhabi on Sunday, the final race to determine who takes home the title. Up until the last lap, every second of the season has been and will be a nail biter.All the variables that brought the two drivers to tally the same exact score heading into the finale is what kept fans\\' attention throughout the season. Think Verstappen\\'s car perched on top of Hamilton\\'s after the crash in Monza or the smoke rising forebodingly from Hamilton\\'s brakes seconds before the restart in Baku. Verstappen\\'s car ended up on top of Hamilton\\'s at the Italian Grand Prix in September.The best racing is when the two are at it, wheel-to-wheel, like they were through the opening laps of the British Grand Prix.Sprint Qualifying, a format introduced to three weekends this season was seen across the community as a controversial addition to the sport. Despite that, it provided something new for fans who welcomed the extra racing.F1 still has improvements to make on several fronts that would make the sport and viewing experience more inclusive.There is still an obvious need for greater diversity behind the wheel and in the institution itself. The league\\'s first full-time driver from China, Guanyu Zhou, will be a much-welcomed addition to the track when he makes his debut next season. However, it is hard to ignore just how White and male dominated the sport is.JUST WATCHEDValtteri Bottas: F1 title race will go down to the wireReplayMore Videos ...MUST WATCHValtteri Bottas: F1 title race will go down to the wire 04:17The FIA, the governing body of the sport, also has some work to do to make rules more transparent and easier to follow. Commentators do their best to make sense of the calls being made by the stewards, but sometimes, even they are left scratching their heads -- driver and team penalties often seem totally arbitrary or ill-explained.Fan accessibility will remain a challenge. Part of that is built-in because F1 is a global sport with just over 20 events a year. Those constraints make attending a race weekend expensive. For American fans eager to make it to a race, there is some good news: a race in Miami next season means two races in the US for the first time since 1984.After the exciting culmination of this season comes the anticipation for the next, with new car designs and some changes in the driver lineup. Season four of \"Drive to Survive\" is imminent too. All of that adds up to a feeling that there is so much more to come from the sport. ', 'entities': [{'entity_name': 'LEWIS HAMILTON', 'entity_type': 'PERSON', 'description': 'A Formula One driver who is competing for the world championship.', 'importance_score': 0.9}, {'entity_name': 'MAX VERSTAPPEN', 'entity_type': 'PERSON', 'description': 'A Formula One driver who is competing for the world championship.', 'importance_score': 0.9}, {'entity_name': 'FORMULA ONE', 'entity_type': 'SPORT', 'description': 'A high-profile motor racing sport.', 'importance_score': 0.8}, {'entity_name': 'NETFLIX', 'entity_type': 'ORGANIZATION', 'description': \"A streaming service that produced the 'Drive to Survive' docuseries.\", 'importance_score': 0.7}, {'entity_name': 'DRIVE TO SURVIVE', 'entity_type': 'TV_SHOW', 'description': 'A docuseries on Netflix that focuses on Formula One.', 'importance_score': 0.8}, {'entity_name': 'ESPN', 'entity_type': 'ORGANIZATION', 'description': 'A sports broadcasting network.', 'importance_score': 0.6}, {'entity_name': 'US GRAND PRIX', 'entity_type': 'EVENT', 'description': 'A Formula One race event held in Austin, Texas.', 'importance_score': 0.7}, {'entity_name': 'ABU DHABI', 'entity_type': 'LOCATION', 'description': 'The location of the final race to determine the Formula One world champion.', 'importance_score': 0.6}, {'entity_name': 'GUANYU ZHOU', 'entity_type': 'PERSON', 'description': 'The first full-time driver from China in Formula One.', 'importance_score': 0.5}, {'entity_name': 'FIA', 'entity_type': 'ORGANIZATION', 'description': 'The governing body of Formula One.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'LEWIS HAMILTON', 'tgt_id': 'MAX VERSTAPPEN', 'description': 'Lewis Hamilton and Max Verstappen are competing for the Formula One world championship.', 'weight': 0.9, 'order': 1}, {'src_id': 'DRIVE TO SURVIVE', 'tgt_id': 'FORMULA ONE', 'description': \"The 'Drive to Survive' docuseries on Netflix has increased the popularity of Formula One.\", 'weight': 0.8, 'order': 1}, {'src_id': 'ESPN', 'tgt_id': 'FORMULA ONE', 'description': 'ESPN has reported a 56% increase in race viewership for Formula One in 2021.', 'weight': 0.7, 'order': 1}, {'src_id': 'US GRAND PRIX', 'tgt_id': 'FORMULA ONE', 'description': 'The US Grand Prix is a significant event in the Formula One calendar.', 'weight': 0.7, 'order': 1}, {'src_id': 'ABU DHABI', 'tgt_id': 'FORMULA ONE', 'description': 'The final race of the Formula One season is held in Abu Dhabi.', 'weight': 0.6, 'order': 1}, {'src_id': 'GUANYU ZHOU', 'tgt_id': 'FORMULA ONE', 'description': 'Guanyu Zhou is the first full-time driver from China in Formula One.', 'weight': 0.5, 'order': 1}, {'src_id': 'FIA', 'tgt_id': 'FORMULA ONE', 'description': 'The FIA is the governing body of Formula One.', 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)A federal jury has awarded $85 million to the family of a California man who died in 2015 after a confrontation with San Diego County sheriff\\'s deputies, court records show.The jury\\'s verdict came in a negligence and wrongful death lawsuit filed by the family of Lucky Phounsy against the county and sheriffs.\"What we asked the jury for is to return a verdict that reflected the truth about his death and that reflected justice for what was taken from this family,\" said Tim Scott, an attorney for the family, according to CNN affiliate KGTV. \"We think that the jury verdict did deliver both truth and justice.\"The San Diego County Sheriff\\'s Department plans to meet with its legal representatives to \"evaluate the verdict further,\" according to a statement.\"As always, our ultimate goal is to provide exceptional law enforcement services in San Diego County,\" the statement said.Read MoreRecently unsealed video shows California man screaming \\'I can\\'t breathe\\' before dying in police custody after 2020 traffic stopOn April 13, 2015, Phounsy, 32, \"began experiencing symptoms of a mental health crisis\" and called 911 \"to report that unknown assailants were trying to harm him,\" according to the complaint filed on behalf of Phounsy\\'s two children, wife, and mother.Sheriff\\'s deputies who responded to the call \"were unnecessarily confrontational, aggressive, and profane,\" the lawsuit claimed. After deputies attempted to handcuff him, \"Lucky became frightened and confused\" before an altercation with one of the deputies, the lawsuit says.Deputies, emergency medical technicians and paramedics used a Taser on Phounsy and hog-tied him, and on the way to the hospital paramedics put a sock over his face, according to the lawsuit. According to an incident summary in court documents, the two responding deputies called for back-up units \"while they were being assaulted and injured by Phounsy.\" Both deputies were injured in the altercation, one of them severely, according to the summary.Phounsy was treated in a local hospital and died a few days later, the complaint said.The federal jury found the deputies used excessive force against Phounsy, weren\\'t trained properly, violated Phounsy\\'s civil rights, and were negligent in their duties -- all of which led to his wrongful death, according to court records.Phounsy\\'s family was awarded $5 million for the pain and suffering he experienced -- $2 million for suffering endured before he was placed into an ambulance, and $3 million for suffering endured before his death -- as well as $80 million for their loss of his love, companionship and more, court records show.CNN\\'s Theresa Waldrop contributed to this report. ', 'entities': [{'entity_name': 'LUCKY PHOUNSY', 'entity_type': 'PERSON', 'description': \"A California man who died in 2015 after a confrontation with San Diego County sheriff's deputies.\", 'importance_score': 1.0}, {'entity_name': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'entity_type': 'ORGANIZATION', 'description': 'The law enforcement agency involved in the confrontation with Lucky Phounsy.', 'importance_score': 0.9}, {'entity_name': 'APRIL 13, 2015', 'entity_type': 'DATE', 'description': 'The date when Lucky Phounsy began experiencing symptoms of a mental health crisis and called 911.', 'importance_score': 0.8}, {'entity_name': '$85 MILLION', 'entity_type': 'MONEY', 'description': \"The amount awarded to Lucky Phounsy's family by the federal jury.\", 'importance_score': 0.9}], 'relationships': [{'src_id': 'LUCKY PHOUNSY', 'tgt_id': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'description': \"Lucky Phounsy had a confrontation with deputies from the San Diego County Sheriff's Department, leading to his death.\", 'weight': 1.0, 'order': 1}, {'src_id': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'tgt_id': 'LUCKY PHOUNSY', 'description': \"The San Diego County Sheriff's Department was found to have used excessive force against Lucky Phounsy.\", 'weight': 0.9, 'order': 1}, {'src_id': 'LUCKY PHOUNSY', 'tgt_id': 'APRIL 13, 2015', 'description': 'Lucky Phounsy began experiencing symptoms of a mental health crisis on April 13, 2015.', 'weight': 0.8, 'order': 1}, {'src_id': 'LUCKY PHOUNSY', 'tgt_id': '$85 MILLION', 'description': \"The federal jury awarded $85 million to Lucky Phounsy's family.\", 'weight': 0.9, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': \"Story highlightsBarcelona fourth title in five seasons not yet confirmed after 2-2 draw at BilbaoReal Madrid beat city rivals Atletico 2-1 in Madrid derby Napoli close gap on Juventus to eight points after 3-0 win at PescaraBarcelona will have to wait at least one more week to wrap up a fourth La Liga title in five seasons after they could only draw 2-2 against Athletic Bilbao on Saturday. The Catalans needed to win their match and hope Real Madrid lost their derby game against Atletico to guarantee the title, but neither result transpired -- Real beat their city rivals 2-1 to reduce the arrears to 11 points. Having been on the receiving end of a Champions League mauling at the hands of Bayern Munich in midweek, Barcelona's weekend got off to an equally dismal start as Bilbao took the lead in the 27th minute when Markel Susaeta scored from close range. Lionel Messi came off the bench to steer Barca back into the match, levelling the scores with another sublime individual effort in the 67th minute -- his 44th in 33 league games -- before Alexis Sanchez made it 2-1 three minutes later.Blog: Does responsibility come with superstar status?Another win seemed assured until the 90th minute when Ander Herrera scored for the home side, guiding the ball past Victor Valdes.JUST WATCHEDCNN Football Club: German giants riseReplayMore Videos ...MUST WATCHCNN Football Club: German giants rise 22:54JUST WATCHEDDo Bayern Munich need Pep Guardiola?ReplayMore Videos ...MUST WATCHDo Bayern Munich need Pep Guardiola? 01:28JUST WATCHEDFerrer: Spain can win 2014 World CupReplayMore Videos ...MUST WATCHFerrer: Spain can win 2014 World Cup 02:28Real also conceded first in the match against their city rivals at the Vicente Calderon -- Radamel Falcao opening the scoring in the fourth minute.But the lead only lasted nine minutes as defender Juanfran deflected an Angel di Maria free kick into his own net. Di Maria was on hand again in the second half latching onto to a pass from Karim Benzema in the 62nd minute before firing home the winner past Belgian goalkeeper Thibaut Courtois. Atletico remain in third, 13 points ahead of fourth-place Real Sociedad who can close the gap if they beat Valencia on Sunday. In Saturday's other matches, Celta Vigo beat Levante 1-0 while Zaragoza moved off the bottom of the table after beating fellow strugglers Mallorca 3-2.Meanwhile in Serie A, second-place Napoli reduced the arrears with Juventus to eight points after a 3-0 win at bottom side Pescara. Udinese's 1-0 win over Cagliari sees them move up to fifth place, four points behind Fiorentina, who travel to Sampdoria on Sunday. Atalanta and Bologna played out a 1-1 draw.   Leaders Juventus travel to Torino on Sunday while third place AC Milan host Catania.\", 'entities': [{'entity_name': 'BARCELONA', 'entity_type': 'ORGANIZATION', 'description': 'A football club that is trying to secure a fourth La Liga title in five seasons.', 'importance_score': 0.9}, {'entity_name': 'REAL MADRID', 'entity_type': 'ORGANIZATION', 'description': 'A football club that beat their city rivals Atletico in a derby game.', 'importance_score': 0.8}, {'entity_name': 'ATLETICO MADRID', 'entity_type': 'ORGANIZATION', 'description': 'A football club that lost to Real Madrid in a derby game.', 'importance_score': 0.7}, {'entity_name': 'NAPOLI', 'entity_type': 'ORGANIZATION', 'description': 'A football club that reduced the gap with Juventus to eight points after a 3-0 win.', 'importance_score': 0.6}, {'entity_name': 'JUVENTUS', 'entity_type': 'ORGANIZATION', 'description': 'A football club that leads Serie A and has an eight-point gap over Napoli.', 'importance_score': 0.7}, {'entity_name': 'LIONEL MESSI', 'entity_type': 'PERSON', 'description': 'A football player who scored for Barcelona in their match against Athletic Bilbao.', 'importance_score': 0.9}, {'entity_name': 'MARKEL SUSAETA', 'entity_type': 'PERSON', 'description': 'A football player who scored for Athletic Bilbao in their match against Barcelona.', 'importance_score': 0.6}, {'entity_name': 'ATHLETIC BILBAO', 'entity_type': 'ORGANIZATION', 'description': 'A football club that drew 2-2 against Barcelona.', 'importance_score': 0.7}, {'entity_name': 'PESCARA', 'entity_type': 'ORGANIZATION', 'description': 'A football club that lost 3-0 to Napoli.', 'importance_score': 0.5}], 'relationships': [{'src_id': 'BARCELONA', 'tgt_id': 'ATHLETIC BILBAO', 'description': 'Barcelona drew 2-2 against Athletic Bilbao in a La Liga match.', 'weight': 0.8, 'order': 1}, {'src_id': 'REAL MADRID', 'tgt_id': 'ATLETICO MADRID', 'description': 'Real Madrid beat Atletico Madrid 2-1 in a derby game.', 'weight': 0.9, 'order': 1}, {'src_id': 'NAPOLI', 'tgt_id': 'PESCARA', 'description': 'Napoli won 3-0 against Pescara in a Serie A match.', 'weight': 0.7, 'order': 1}, {'src_id': 'BARCELONA', 'tgt_id': 'REAL MADRID', 'description': \"Barcelona's title hopes were affected by Real Madrid's win over Atletico Madrid.\", 'weight': 0.7, 'order': 2}, {'src_id': 'JUVENTUS', 'tgt_id': 'NAPOLI', 'description': \"Juventus' lead in Serie A was reduced to eight points by Napoli's win over Pescara.\", 'weight': 0.6, 'order': 2}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': 'Story highlightsThe Man v Fat soccer league is exclusively for men with a body mass index of 30 or moreThe league helps players lose weight, but it also gives them a built-in support group (CNN)After reviewing restaurants for years, Andrew Shanahan became obese and was looking for a way to lose weight.But it wasn\\'t easy to find a program tailored to men. Every time he tried joining a weight-loss group, he was the only man in the room. \"I wondered how many other men felt that there was something missing and who weren\\'t getting the support that you desperately need when you\\'re trying to lose weight,\" he said.So in 2014, with the help of a crowdfunding campaign, Shanahan launched his Man v Fat initiative to reach out to other men like him. The idea drew attention from celebrities such as chef Jamie Oliver, and Shanahan was encouraged to write a book on it the next year. Being based in England, a soccer league seemed like a natural outreach program. And Shanahan received nearly 1,000 applications for 80 spots in the inaugural league, which was created exclusively for men with a body mass index of 30 or more.Read MorePhotographer Simone PerolariMany of the men used to play soccer -- or as it\\'s called in most of the world, football -- but their weight had become an obstacle in pursuing the sport they love.\"I saw people who want to have fun and slim down and believe in what they do,\" said Simone Perolari, who photographed the league and whose images can be seen in the gallery above. \"There is not a space for them in classic football, but some of them are really good players.\"Rob Bird, 40, read about the league in the Birmingham Mail. He played the sport until he was 25, and he calls the 15 years after that the \"fat years\" when he didn\\'t feel comfortable playing. \"I\\'ve always loved football, but playing against \\'normal-size\\' guys left me feeling like I couldn\\'t compete as they were faster,\" Bird said. \"(This league) is a level playing field for bigger guys.\" Shanahan isn\\'t sure what he was expecting to result from the league\\'s first season, but the competitiveness of the players surprised him. \"For a long time they haven\\'t had a level playing field to compete on, so they are all determined to give it everything they have,\" he said. \"Fortunately, even those teams who lose can see that the benefits of losing weight and getting healthy more than make up for not topping the league.\"Social mediaFollow @CNNPhotos on Twitter to join the conversation about photography.Shanahan watched bonds form between the men as they enjoyed their favorite sport and supported one another in their goals to get fit and healthy. After 14 weeks, the 80 team members collectively lost 1,727 pounds, with the average weight loss close to 22 pounds per player. Marcus Farnsworth lost more than 70 pounds and is enjoying the energy boost he\\'s received in return. He hopes it will help with his knees and back as he continues to lose weight. But he also enjoyed the togetherness and support of the guys around him. \"It gives you good motivation if one person is feeling hungry or thinking about snacking,\" Farnsworth said. \"We can give advice and communicate through our WhatsApp group for support.\"Bird has dropped nearly 60 pounds and is now down to 210. His gout and leg ulcer have improved \"immeasurably.\"Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.Rob Bird, a player in the Man v Fat soccer league\"I feel a million times better,\" Bird said. \"This has given me the confidence that if you are making the right choices, you will feel better for it. Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.\"Shanahan is expanding the league across the rest of the United Kingdom beginning in July, and he hopes to start similar leagues in the United States and other countries. \"We saw a lot of health improvements, whether it was guys curing their sleep apnea, reversing their diabetes or lowering their blood pressure,\" Shanahan said. \"The other really notable thing was how much many of the players grew in confidence. \"I think it\\'s a great thing to undertake a project with other people who desperately want the same thing. It gives you energy and impetus. Working with the guys has been one of the greatest privileges of my career. To share in their excitement and to witness their achievements has been amazing.\"Simone Perolari is an Italian photographer based in Paris. You can follow him on Facebook and Instagram.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and dependencies within the context of the text.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Man v Fat soccer league\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A soccer league exclusively for men with a body mass index of 30 or more, designed to help them lose weight and provide a support group.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Andrew Shanahan\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A man who became obese after reviewing restaurants for years and later founded the Man v Fat initiative.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Simone Perolari\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"An Italian photographer based in Paris who photographed the Man v Fat soccer league.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Rob Bird\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A 40-year-old man who played soccer until he was 25 and later joined the Man v Fat soccer league.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Marcus Farnsworth\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A participant in the Man v Fat soccer league who lost more than 70 pounds.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Jamie Oliver\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A celebrity chef who supported the Man v Fat initiative.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"England\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The country where the Man v Fat soccer league was initially launched.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"CNN\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A news organization that reported on the Man v Fat soccer league.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Andrew Shanahan\",\\n\\n\"tgt_id\": \"Man v Fat soccer league\",\\n\\n\"description\": \"Andrew Shanahan founded the Man v Fat soccer league.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"Simone Perolari\",\\n\\n\"description\": \"Simone Perolari photographed the Man v Fat soccer league.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"Rob Bird\",\\n\\n\"description\": \"Rob Bird joined the Man v Fat soccer league.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"Marcus Farnsworth\",\\n\\n\"description\": \"Marcus Farnsworth participated in the Man v Fat soccer league.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Andrew Shanahan\",\\n\\n\"tgt_id\": \"Jamie Oliver\",\\n\\n\"description\": \"Jamie Oliver supported the Man v Fat initiative founded by Andrew Shanahan.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"England\",\\n\\n\"description\": \"The Man v Fat soccer league was initially launched in England.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"CNN\",\\n\\n\"description\": \"CNN reported on the Man v Fat soccer league.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'Story highlightsJerry Collins killed with his partner in car crash in France Former All Black played 48 tests for national team  (CNN)New Zealand rugby star Jerry Collins and his partner, Alana Madill, have been killed in a car crash in France.The accident has orphaned the couple\\'s three-month-old baby daughter, Ayla, who is in critical condition in hospital.Collins\\' long-term manager Tim Castle issued a statement on behalf of the former All Black\\'s family which said they were \"distraught at the death of a much-loved son, brother and friend, and his partner Alana.\"\"I have been in touch with Jerry\\'s father Frank and other members of his family who are in Samoa at the moment,\" Castle said.\"It\\'s obviously a terribly difficult time for them and together with New Zealand Rugby we are doing all we can to support them.\"New Zealand Rugby has tonight expressed its shock and sadness at the death of former All Black Jerry Collins: http://t.co/dglpszVe3v— All Blacks (@AllBlacks) June 5, 2015\\n Read MoreBorn in Samoa, the 34-year-old loose forward made his Super Rugby debut with the Hurricanes and then the All Blacks, New Zealand\\'s national team, in 2001, according to the team\\'s website.He played 74 games for the Hurrricanes and 50 for the All Blacks, including 48 tests, before retiring after the 2007 Rugby World Cup.Collins left New Zealand in 2008 to play rugby in Japan and France, where he signed with the Narbonne club earlier this year.Tributes flowed in from the rugby world and beyond. \"Jerry Collins is an undisputed legend of the game,\" said Greg Peters, the chief executive of SANZAR -- South Africa, New Zealand and Australia Rugby.\"He inspired all of those around him with his passion and love for the game throughout a highly decorated career for club and country.\"Australian Rugby Union chief executive Bill Pulver praised him as \"right up there with the all-time great players to wear the All Black jersey.\"We plan to go out there tonight and honour the hell out of Hurricane No. 82. RIP Jerry, you will always be a huge part of the Canes legacy.— Hurricanes Rugby (@Hurricanesrugby) June 5, 2015\\nThere will be a moment\\'s silence prior to kick-off in Napier this evening in honour of Jerry Collins #SuperRugby #HURvHIG— Alistair Hogg (@AlistairSANZAR) June 5, 2015\\nNew Zealand Rugby has tonight expressed its shock and sadness at the death of former All Black Jerry Collins: http://t.co/dglpszVe3v— All Blacks (@AllBlacks) June 5, 2015\\nVery sad news. Notably one of the toughest opponents I had the pleasure playing against. RIP Jerry Collins #AllBlackLegend 👊— Kurtley Beale (@kurtley_beale) June 5, 2015\\n Unbelievably tragic news to wake up to about Jerry Collins and his wife. Lucky enough to play against and with him. Great bloke and player— Adam Jones (@adamjones3) June 5, 2015\\n', 'entities': [{'entity_name': 'JERRY COLLINS', 'entity_type': 'PERSON', 'description': 'New Zealand rugby star who was killed in a car crash in France.', 'importance_score': 1.0}, {'entity_name': 'ALANA MADILL', 'entity_type': 'PERSON', 'description': 'Partner of Jerry Collins who was also killed in the car crash in France.', 'importance_score': 0.9}, {'entity_name': 'AYLA', 'entity_type': 'PERSON', 'description': 'Three-month-old baby daughter of Jerry Collins and Alana Madill, orphaned by the car crash and in critical condition in hospital.', 'importance_score': 0.8}, {'entity_name': 'TIM CASTLE', 'entity_type': 'PERSON', 'description': 'Long-term manager of Jerry Collins who issued a statement on behalf of the family.', 'importance_score': 0.7}, {'entity_name': 'FRANK', 'entity_type': 'PERSON', 'description': 'Father of Jerry Collins who is in Samoa at the moment.', 'importance_score': 0.6}, {'entity_name': 'NEW ZEALAND RUGBY', 'entity_type': 'ORGANIZATION', 'description': 'Organization that expressed shock and sadness at the death of Jerry Collins.', 'importance_score': 0.8}, {'entity_name': 'ALL BLACKS', 'entity_type': 'ORGANIZATION', 'description': \"New Zealand's national rugby team for which Jerry Collins played.\", 'importance_score': 0.9}, {'entity_name': 'HURRICANES', 'entity_type': 'ORGANIZATION', 'description': 'Rugby team with which Jerry Collins made his Super Rugby debut.', 'importance_score': 0.7}, {'entity_name': 'NARBONNE', 'entity_type': 'ORGANIZATION', 'description': 'Rugby club in France where Jerry Collins signed earlier this year.', 'importance_score': 0.6}, {'entity_name': 'FRANCE', 'entity_type': 'LOCATION', 'description': 'Country where the car crash occurred.', 'importance_score': 0.8}, {'entity_name': 'SAMOA', 'entity_type': 'LOCATION', 'description': \"Country where Jerry Collins' family is currently located.\", 'importance_score': 0.7}, {'entity_name': 'JUNE 5, 2015', 'entity_type': 'DATE', 'description': \"Date when the news of Jerry Collins' death was widely reported.\", 'importance_score': 0.6}], 'relationships': [{'src_id': 'JERRY COLLINS', 'tgt_id': 'ALANA MADILL', 'description': 'Jerry Collins and his partner Alana Madill were killed in a car crash in France.', 'weight': 1.0, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'AYLA', 'description': \"Jerry Collins' three-month-old baby daughter Ayla was orphaned by the car crash.\", 'weight': 0.9, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'TIM CASTLE', 'description': \"Tim Castle is Jerry Collins' long-term manager.\", 'weight': 0.8, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'FRANK', 'description': \"Frank is Jerry Collins' father.\", 'weight': 0.7, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'NEW ZEALAND RUGBY', 'description': 'New Zealand Rugby expressed shock and sadness at the death of Jerry Collins.', 'weight': 0.8, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'ALL BLACKS', 'description': \"Jerry Collins played for the All Blacks, New Zealand's national rugby team.\", 'weight': 0.9, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'HURRICANES', 'description': 'Jerry Collins made his Super Rugby debut with the Hurricanes.', 'weight': 0.7, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'NARBONNE', 'description': 'Jerry Collins signed with the Narbonne rugby club in France earlier this year.', 'weight': 0.6, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'FRANCE', 'description': 'Jerry Collins was killed in a car crash in France.', 'weight': 0.8, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'SAMOA', 'description': \"Jerry Collins' family is in Samoa at the moment.\", 'weight': 0.7, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'JUNE 5, 2015', 'description': \"The news of Jerry Collins' death was widely reported on June 5, 2015.\", 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'London (CNN)Anna says she did not want to break the UK\\'s Covid-19 lockdown rules.The 37-year-old has worked through the pandemic. Anna says she cleans an office building in London which is open but nearly empty, as most staff are working from home. It\\'s a job the Ecuadorean native has done for five years, after moving to the UK from Spain in 2013 while looking for work. CNN is not disclosing Anna\\'s real name as she fears repercussions from her employer. Anna\\'s employer insisted that she continue to clean the building during the pandemic but cut her hours from five a day to four. She earns £10.75 ($14.77) per hour.\"I have been forced to go to work in a nonessential building,\" she told CNN. \"There is no one at work, I\\'m alone.\"Read MoreLast month Anna caught Covid-19. She\\'s unsure where she picked it up from but said it was likely \"on the bus or on the Underground.\" She lives in south London in a shared house and says that at first the virus left her exhausted.The healthcare workers watching from afar as rich countries begin vaccine rollout \"I had a lot of coughs, fever, fatigue... and dizziness,\" she said. \"And I [am taking a long time to recover] because this disease is very painful [and] horrible.\"But after staying home for a few days as she recovered from the disease, Anna decided to go into work, as she was only receiving partial pay.UK government rules state that while recovering from Covid-19, patients should self-isolate for at least 10 full days. \"I only felt tired and [had] a headache,\" she said. \"That is why I went to work -- I also couldn\\'t afford to stay at home because I received very little salary.\"I feel guilty that I went to work and infected more people, [but] I had no other option.\"An illuminated motorway sign carries the \"Stay At Home\" message, on January 10 in Dunfermline, Scotland.Breaches of self-isolation rules are rampant across the UK. Up to 20,000 people a day are failing to stay home when instructed to, according to Dido Harding, who is in charge of the country\\'s coronavirus Test and Trace scheme. \"These numbers are moving a lot,\" Harding told a parliamentary committee this week, adding that \"circa 20,000 people a day\" were currently not isolating. Harding said she was also concerned about people who were experiencing symptoms but had avoided being tested. For the British government, the lack of compliance is a significant worry.\"My biggest concern is...the people who feel ill but don\\'t come forward for testing at all,\" Harding said. One popular stereotype paints lockdown breakers as young and irreverent people who insist on attending house parties and meeting friends. But experts say the picture is more nuanced. The British public strongly supports lockdown, according to a YouGov poll released in January. Those who are not abiding by the rules often cannot afford to do so.Covid destroyed lives spent together. Now those left behind must say farewell by Zoom\"There\\'s so much emphasis on people not breaking the rules, but the majority are actually following the rules,\" says Muge Cevik, a clinical lecturer in infectious diseases and medical virology at the University of St. Andrews in Scotland.Cevik and her colleagues recently published an article in the British Medical Journal urging the government to offer greater support to people self isolating. Their paper points to a successful test-and-care model in San Francisco, which helped people isolate by ensuring home deliveries of goods, among other measures. A similar scheme in New York, which allowed people to opt to isolate in hotels, is also singled out for praise in the article.\"In the majority of hospitalizations what we\\'re seeing is that the majority of infections are among key workers,\" Cevik told CNN. \"We\\'re seeing huge outbreaks in warehouses, meat-packing plants, care homes ... the only thing that combines these sectors are low-paid workers, likely to live in crowded houses.\"In September 2020, the UK government rolled out a new package to support those in self-isolation. Lower income earners having to stay home may be eligible for a payment of £500 if they face losing pay. The penalty for those breaching lockdowns also increased, with those caught now facing  £1,000 ($1,370) fines.\"This new Test and Trace Support payment of £500 will ensure that those on low incomes are able to self-isolate without worry about their finances,\" the UK government said in a statement in September.But the £500 payment comes with stringent requirements -- to be eligible people need to already receive some form of UK government benefit, such as universal credit, working tax credit or housing benefit. Earlier this week, a study published by the Trades Union Congress found that fewer than 40% of applications for the grant were successful. Harding acknowledged during her committee appearance that lack of financial support was one reason that people failed to isolate. Cevik and her colleagues believe more needs to be done, including offering those in crowded homes the chance to self-isolate in separate accommodation, to curb the virus\\' spread.\"If someone has tested positive, [then] at the time of testing, we could be asking them \\'do you have space to isolate? And do you get sick leave?\\'\" she says.\"These [resources] need to come as a package -- income relief, sick leave [and] accommodation is needed.\"Anna says she would \"of course\" have stayed home if she had been given more support.\"I would have stayed home from the first day,\" she told CNN. \"I felt bad, but ... low-wage workers had no choice.\"A digital display at a bus station warns pedestrians of the new strain of coronavirus in central London on January 8.\"I don\\'t blame people who are desperate, and [make that choice to work],\" says Yaseen Aslam, president of the ACDU, a union representing private hire and courier drivers in Britain.\"I know a driver who had to isolate four times in two months, How does that work?\" Aslam told CNN. \"The problem is, drivers are making at the moment £35 or £50 daily,\" he adds. \"The £500 [payment], yeah that\\'s good but the drivers are desperate.\"And when you\\'re in a desperate situation, you take risks. People are choosing between their life and just being out there.\"Uber, among other companies, has piloted a scheme to help protect drivers and passengers by installing partitions in 400 cars, as suggested by government guidelines. The pilot scheme was done in partnership with motoring assistance group, the AA, across Newcastle, Sunderland and Durham, in northern England. But outside the scheme, drivers must decide whether to pay to install the screens. But one driver,\\xa0who asked not to be named because he feared retribution from his employer,\\xa0said he and his peers were not installing the screens as they simply could not afford to.\"This is a pandemic,\" the man, who says he works as a driver in London, said. \"It\\'s not going to last forever -- why should I put that in if it\\'s not going to last forever?\"Aslam also works with the International Alliance of App-Based Transport Workers, an organization that brings together private hire drivers worldwide.\"I work with drivers in France, Amsterdam, San Francisco [and so on,]\" he said. \"We\\'re seeing these problems across the world. But no one is trying to help us.\"2020 through the eyes of Europe\\'s \\'unseen\\' key workersEarly 2021 has been marked across Europe with an outburst of frustration against lockdowns, with protests being held across Austria, Hungary and the Netherlands. The Dutch demonstrations lasted for a few nights in late January and turned violent. Anti-lockdown protesters have also taken to the streets in the UK, most notably in multiple demonstrations in November 2020. Dozens of people have been arrested during the marches, at which some protesters have shared conspiracy theories about Covid-19.\"If people feel vulnerable, then they will comply with lockdown rules,\" Pamela Briggs, a professor of applied psychology at Northumbria University, told CNN. \"For those who feel less vulnerable, then compliance becomes more of a matter of civic duty.\"If you\\'re going to make sacrifices then you have to believe they\\'ll be effective,\" she adds. \"The problem comes when people can\\'t understand why they are being asked to do these things... if people feel the rules don\\'t make sense, they\\'re more likely to challenge them.\"Briggs believes that people need to believe their sacrifice in staying home is worth the personal cost. The UK\\'s three lockdowns have, to various extents, helped to curb rising cases.\"We could make people feel that their sacrifices are genuinely having an effect,\" Briggs said.\"There are ways to demonstrate the efficacy of lockdown and more should be done.\"One year into the Covid crisis, the UK government continues to use lockdowns as a last resort. Some good news awaits on the horizon -- cases are beginning to drop and the country\\'s vaccine rollout has been widely praised. What officials now face is the challenge of helping people stay home, in the face of overwhelming mental and financial fatigue.', 'entities': [{'entity_name': 'ANNA', 'entity_type': 'PERSON', 'description': 'A 37-year-old Ecuadorean native who cleans an office building in London during the pandemic.', 'importance_score': 0.9}, {'entity_name': 'UK', 'entity_type': 'LOCATION', 'description': 'The United Kingdom, where Anna moved from Spain in 2013 and currently lives.', 'importance_score': 0.8}, {'entity_name': 'LONDON', 'entity_type': 'LOCATION', 'description': 'A city in the UK where Anna works and lives.', 'importance_score': 0.7}, {'entity_name': 'COVID-19', 'entity_type': 'DISEASE', 'description': 'The disease that Anna caught and had to recover from.', 'importance_score': 0.9}, {'entity_name': 'CNN', 'entity_type': 'ORGANIZATION', 'description': 'The news organization that interviewed Anna and reported her story.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'ANNA', 'tgt_id': 'UK', 'description': 'Anna moved to the UK from Spain in 2013.', 'weight': 0.8, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'LONDON', 'description': 'Anna works and lives in London.', 'weight': 0.9, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'COVID-19', 'description': 'Anna caught Covid-19 and had to recover from it.', 'weight': 0.9, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'CNN', 'description': \"Anna's story was reported by CNN.\", 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsThe phone was auctioned Sunday by a Maryland auction house and was bought by phone bidderThe \"mobile device of destruction\" was recovered from Nazi leader\\'s bunker by British officer (CNN)Adolf Hitler\\'s telephone was sold at auction in the United States on Sunday for $243,000. The winning bid was made by phone but the name of the bidder has not been released.The phone was presented to Hitler by the Wehrmacht and was used by the Nazi leader to issue most of his commands during the last two years of World War II, according to a description in the catalog for Alexander Historical Auctions in Maryland.The phone was recovered from the Fuhrerbunker in 1945 and has been kept in a box in an English country house ever since. Made by Siemens as a black Bakelite phone, it was later painted red and engraved with Hitler\\'s name and a swastika, the catalog says.The auction house describes the telephone as \"Hitler\\'s mobile device of destruction\" and called it \"arguably the most destructive \\'weapon\\' of all time, which sent millions to their deaths around the world.\"Hitler\\'s name is engraved on the back of the phone, along with an eagle and swastika.Read MoreBritish officer Ralph Rayner recovered the phone from Hitler\\'s bunker while visiting Berlin on the orders of Field Marshall Bernard Montgomery just a few days after the end of the war, according to Rayner\\'s personal account and shipping documents from that time period, according to the auction house. His son Ranulf Rayner, 82, inherited the phone after his father\\'s death in 1977. \"My father didn\\'t see it as a relic of Hitler\\'s glory days, more a battered remnant of his defeat, a sort of war trophy,\" he told CNN. \"He never thought it would become an important artifact.\"Ralph Rayner would have been \"chuffed to bits\" that the phone has had so much attention, his son said.He had hoped the phone would fetch a larger sum, but he is happy to be able to say goodbye to it.\"I certainly won\\'t miss it,\" he told CNN. \"It\\'s a fairly sinister bit of kit and I\\'ve always lived in fear of someone trying to steal it. I\\'ve also been told it\\'ll bring me bad luck.\"Sent to the shattered German capital to establish contact with the Russian forces who had captured the city, Ralph Rayner was probably the very first non-Soviet victor to enter Hitler\\'s bunker.How Hitler\\'s \\'Mein Kampf\\' became a bestseller in 2016\"He could still smell burning flesh,\" Ranulf Rayner said, recalling his father\\'s description of the underground shelter where Hitler spent his final days. In his words, it was a \"dreadful hellhole.\" First offered the black telephone found in the room of Eva Braun, Hitler\\'s bride, Ralph Rayner instead chose the red phone next to Hitler\\'s bed. \"He told the Russians that red was his favorite color,\" Ranulf Rayner said, \"which the Russians rather liked.\"In a letter to his wife Elizabeth on May 18, 1945, Ralph Rayner wrote of the \"utter horror\" he witnessed in Berlin, but did not mention the remarkable souvenir he had in his possession.If British soldiers were caught looting from the Germans, Ranulf Rayner explained, they would face a court martial.Ralph Rayner returned to Devon in western England with both the phone and a porcelain model of an Alsatian, also taken from the bunker, hidden in his suitcase.Ralph Rayner also recovered a porcelain Alsatian from Hitler\\'s bunker.The china dog, made by slave laborers at Dachau concentration camp and probably presented to Hitler by Heinrich Himmler, SS chief and architect of the Final Solution, was also auctioned Sunday. It was bought by a different phone bidder for $24,300.Ranulf Rayner hopes these objects will end up in a museum one day. \"I don\\'t want them to be hidden again,\" he said. \"I want them to remind the world of the horrors of war.\"', 'entities': [{'entity_name': 'ADOLF HITLER', 'entity_type': 'PERSON', 'description': 'Nazi leader whose telephone was auctioned.', 'importance_score': 1.0}, {'entity_name': 'ALEXANDER HISTORICAL AUCTIONS', 'entity_type': 'ORGANIZATION', 'description': \"Maryland auction house that auctioned Adolf Hitler's telephone.\", 'importance_score': 0.8}, {'entity_name': 'FUHRERBUNKER', 'entity_type': 'LOCATION', 'description': \"Underground bunker where Adolf Hitler's telephone was recovered.\", 'importance_score': 0.7}, {'entity_name': 'RALPH RAYNER', 'entity_type': 'PERSON', 'description': \"British officer who recovered Adolf Hitler's telephone from the Fuhrerbunker.\", 'importance_score': 0.9}, {'entity_name': 'RANULF RAYNER', 'entity_type': 'PERSON', 'description': 'Son of Ralph Rayner, who inherited the telephone.', 'importance_score': 0.6}, {'entity_name': 'SIEMENS', 'entity_type': 'ORGANIZATION', 'description': \"Company that manufactured Adolf Hitler's telephone.\", 'importance_score': 0.5}], 'relationships': [{'src_id': 'ADOLF HITLER', 'tgt_id': 'ALEXANDER HISTORICAL AUCTIONS', 'description': \"Adolf Hitler's telephone was auctioned by Alexander Historical Auctions.\", 'weight': 0.9, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'FUHRERBUNKER', 'description': \"Adolf Hitler's telephone was recovered from the Fuhrerbunker.\", 'weight': 0.8, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'RALPH RAYNER', 'description': \"Ralph Rayner recovered Adolf Hitler's telephone from the Fuhrerbunker.\", 'weight': 0.9, 'order': 1}, {'src_id': 'RALPH RAYNER', 'tgt_id': 'RANULF RAYNER', 'description': 'Ranulf Rayner inherited the telephone from his father, Ralph Rayner.', 'weight': 0.7, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'SIEMENS', 'description': \"Adolf Hitler's telephone was manufactured by Siemens.\", 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Washington (CNN)President Donald Trump is seriously considering a plan to block $250 million in military assistance to Ukraine, a move that would further ingratiate him with Russian President Vladimir Putin, and has directed senior officials to review the aid package.Trump\\'s decision to order the review comes after the White House publicly lost a battle to slash foreign aid spending across the board. After scrapping the plan to slash $4 billion in foreign aid, Trump said his team would look to find cuts elsewhere in the aid budget.\"The President has made no secret when it comes to foreign assistance that US interests abroad should be prioritized and other foreign countries should also be paying their fair share,\" a senior administration official told CNN.Specifically, Trump has directed Defense Secretary Mark Esper and national security adviser John Bolton to oversee the process, the senior administration official said. The President has not yet made a final decision on whether to permanently block the funds, an administration official told CNN. The review process, however, has effectively paused disbursement of the funds, which are set to expire on September 30 if they are not used.Read MoreJames Mattis: \\'I had no choice but to leave\\' the Trump administrationThe Pentagon has already recommended to the White House that the hold on military assistance to Ukraine be lifted, an administration official and a US defense official told CNN Thursday. A Pentagon spokesperson declined to comment on the matter on Thursday.\"We do not publicly comment on internal budget deliberations. For further inquiries, I direct you to the White House Office of Management and Budget,\" said spokesperson Lt. Col. Carla Gleason.However the hold on the aid remains in place, as it is the White House\\'s call whether to lift it, the administration official said, fueling uncertainty within the administration about what will happen to the spending after the review is formally completed.In the meantime, agencies are authorized and encouraged to execute all processes to prepare for the obligation of those funds but must wait to obligate them until the policy review is complete and the President has made a final determination, the senior official said. Bipartisan angerIf Trump ultimately decides to block the aid package, a possibility first reported by Politico, it would likely prompt a bipartisan uproar from members of Congress who believe US military support is essential to countering Russia\\'s military involvement in Ukraine.Illinois Republican Rep. Adam Kinzinger, a member of the House Foreign Affairs Committee, voiced his strong opposition to that idea in a tweet Thursday: \"This is unacceptable. It was wrong when Obama failed to stand up to Putin in Ukraine, and it\\'s wrong now.\"Democratic Sen. Bob Menendez released a statement accusing the administration of circumventing Congress and \"undermining a key policy priority that has broad and deep bipartisan support.\"\"In willfully delaying these funds, the Trump Administration is once again trying to circumvent Congress\\' Constitutional prerogative of appropriating funds for U.S. government agencies. It is also undermining a key policy priority that has broad and deep bipartisan support,\" he said.\"Enough is enough. President Trump should stop worrying about disappointing Vladimir Putin and stand up for U.S. national security priorities,\" Menendez added.What will Trump do?Multiple sources familiar with the issue tell CNN that the President has floated the idea of halting the funding program for weeks. The White House has recently notified relevant agencies and congressional committees of its intent to block the aid to Ukraine, one source said.However, sources say that there are still questions about what Trump will ultimately do. Trump privately clashed with G7 leaders over reinviting PutinThe push to block the aid package has been supported by Trump\\'s acting chief of staff Mick Mulvaney but opposed by some within the State Department and national security council, according to another source. National security adviser John Bolton was in Kiev Wednesday, where he met with Ukrainian officials, but there is little indication he raised the possibility of blocking the funding.\"It was great to meet with my Ukrainian national security and defense colleagues in Kyiv. The discussions clearly show that we share a common commitment to preserving Ukraine\\'s security and sovereignty, and to ensuring it is not subject to Chinese economic exploitation,\" Bolton tweeted Wednesday. A US Department of State official told CNN on Thursday that the policy on Ukraine has not changed, adding the US remains committed to a robust partnership between the two countries. But Trump\\'s public deference to Putin and Russia has alarmed US allies and lawmakers. The issue has only been amplified by Trump\\'s recent comments at the G7 summit, in which he seemingly downplayed Russia\\'s military incursion in Ukraine and suggested that Russia be reinstated into the group of leading global economies.The US has provided Ukraine with more than $1 billion in security assistance since 2014 as it has sought to bolster the country\\'s military, which is facing an ongoing conflict with separatists in the country\\'s east, forces the Pentagon believes are backed, armed and even led by Moscow.In 2017, the Trump administration announced its decision to provide lethal anti-tank weapons, including US-made Javelin missiles, to Ukraine. \"Since 2014, there has been broad bipartisan support in the Senate for security assistance to Ukraine. If Trump\\'s OMB is really playing games with Ukrainian security assistance, then the response from Congress will be fierce. At the very least, Trump\\'s OMB should get out of the way and release the funds that Congress has already appropriated,\" a senior Democratic aide told CNN. Rep. Adam Schiff, the Democratic chairman of the House Intelligence Committee, tweeted Wednesday that such a move would be \"destructive to our national security\" and suggested that the decision is politically motivated. \"Trump is withholding vital military aid to Ukraine, while his personal lawyer seeks help from the Ukraine government to investigate his political opponent. It doesn\\'t take a stable genius to see the magnitude of this conflict. Or how destructive it is to our national security,\" Schiff wrote.Giuliani pushes for Biden investigationRudy Giuliani, who serves as Trump\\'s personal attorney, has long lobbied Ukraine to investigate former Vice President Joe Biden\\'s call in 2016 to remove the country\\'s top prosecutor, who at one point had been investigating a Ukrainian natural gas company connected to Biden\\'s son, Hunter.Last week, Giuliani said he had again raised the issue with a Ukrainian official, suggesting the former New York mayor is making a renewed push for the country to investigate Trump\\'s political enemies.Other Western governments also called for that prosecutor\\'s dismissal, and no evidence has indicated Biden\\'s move was inappropriate.Ukraine\\'s prosecutor general told Bloomberg in May he had no proof of wrongdoing by Biden or his son.Giuliani says he met with Ukrainian official to discuss BidenThe Biden campaign refused comment on Giuliani\\'s talks. The New York Times first reported Giuliani\\'s talks with the official. Asked Thursday if he\\'s spoken to the President at all about the military assistance to Ukraine, Giuliani told CNN: \"No, not in on it.\"Giuliani told CNN that the State Department informed him that Andriy Yermak, who he called the lawyer for Ukrainian President Volodymyr Zelensky, wanted to meet with him. Yermak was appointed as an aide to Zelensky in May, according to local media reports.The two spoke twice over the phone, with Yermak offering to come to the US to meet with Giuliani before the two agreed to meet in Madrid last month, Giuliani said.Giuliani claims that Yermak asked him questions and that he didn\\'t ask the Ukrainian lawyer to do anything because he \"didn\\'t need to.\" The focus of their conversation was on Biden\\'s possible role as then-vice president in the prosecutor\\'s dismissal and how Ukraine may have tried to damage Trump\\'s campaign, Giuliani said.The State Department confirmed last week that it had assisted in connecting Yermak and Giuliani.CNN\\'s Ryan Browne, Michael Warren and Pamela Brown contributed to this report.', 'entities': [{'entity_name': 'DONALD TRUMP', 'entity_type': 'PERSON', 'description': 'President of the United States, considering a plan to block military assistance to Ukraine.', 'importance_score': 1.0}, {'entity_name': 'VLADIMIR PUTIN', 'entity_type': 'PERSON', 'description': 'President of Russia, with whom Trump seeks to ingratiate himself.', 'importance_score': 0.9}, {'entity_name': 'UKRAINE', 'entity_type': 'LOCATION', 'description': 'Country receiving military assistance from the US, which Trump is considering blocking.', 'importance_score': 0.8}, {'entity_name': 'MARK ESPER', 'entity_type': 'PERSON', 'description': 'Defense Secretary overseeing the review of the aid package.', 'importance_score': 0.7}, {'entity_name': 'JOHN BOLTON', 'entity_type': 'PERSON', 'description': 'National security adviser involved in the review process.', 'importance_score': 0.7}, {'entity_name': 'PENTAGON', 'entity_type': 'ORGANIZATION', 'description': 'US Department recommending the lifting of the hold on military assistance to Ukraine.', 'importance_score': 0.6}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'Administration making the final decision on the aid package.', 'importance_score': 0.8}, {'entity_name': 'CONGRESS', 'entity_type': 'ORGANIZATION', 'description': 'Legislative body expressing bipartisan opposition to blocking the aid package.', 'importance_score': 0.7}, {'entity_name': 'ADAM KINZINGER', 'entity_type': 'PERSON', 'description': 'Republican Representative opposing the blocking of aid to Ukraine.', 'importance_score': 0.6}, {'entity_name': 'BOB MENENDEZ', 'entity_type': 'PERSON', 'description': \"Democratic Senator criticizing the administration's handling of the aid package.\", 'importance_score': 0.6}], 'relationships': [{'src_id': 'DONALD TRUMP', 'tgt_id': 'UKRAINE', 'description': 'Trump is considering blocking military assistance to Ukraine.', 'weight': 0.9, 'order': 1}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'VLADIMIR PUTIN', 'description': \"Trump's decision to block aid to Ukraine would ingratiate him with Putin.\", 'weight': 0.8, 'order': 2}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'MARK ESPER', 'description': 'Trump has directed Esper to oversee the review of the aid package.', 'weight': 0.7, 'order': 1}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'JOHN BOLTON', 'description': 'Trump has directed Bolton to oversee the review process.', 'weight': 0.7, 'order': 1}, {'src_id': 'PENTAGON', 'tgt_id': 'WHITE HOUSE', 'description': 'The Pentagon has recommended to the White House that the hold on military assistance to Ukraine be lifted.', 'weight': 0.6, 'order': 1}, {'src_id': 'CONGRESS', 'tgt_id': 'DONALD TRUMP', 'description': \"Congress is expressing bipartisan opposition to Trump's decision to block the aid package.\", 'weight': 0.7, 'order': 2}, {'src_id': 'ADAM KINZINGER', 'tgt_id': 'DONALD TRUMP', 'description': \"Kinzinger opposes Trump's idea of blocking aid to Ukraine.\", 'weight': 0.6, 'order': 2}, {'src_id': 'BOB MENENDEZ', 'tgt_id': 'DONALD TRUMP', 'description': \"Menendez criticizes the administration's handling of the aid package.\", 'weight': 0.6, 'order': 2}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': 'London (CNN)Prince Philip, the husband of Queen Elizabeth II, is being treated for an infection and is not expected to leave the hospital for several days, according to an update from Buckingham Palace on Tuesday.\"The Duke of Edinburgh remains at King Edward VII\\'s Hospital where he is receiving medical attention for an infection. He is comfortable and responding to treatment but is not expected to leave hospital for several days,\" the palace said in a statement.Prince Philip was taken to the hospital last Tuesday after \"feeling unwell,\" Buckingham Palace said.On Monday, his grandson, Prince William, said the 99-year-old was doing \"OK\" and hospital staff were \"keeping an eye on him.\"Queen Elizabeth and Duke of Edinburgh receive Covid-19 vaccinePrince William made the remarks during a visit to a vaccination center in Norfolk, England, on Monday.Read MoreOn Tuesday, Prince Philip\\'s youngest son, Prince Edward, told the UK\\'s Sky News that he recently spoke to his father, who is doing \"a lot better\" and is looking forward to returning home.Prince Edward said the family was still keeping their \"fingers crossed\" for his father.\"We\\'ve had some brilliant and lovely messages from all sorts of people. And we really appreciate that and so does he. I\\'ve been passing them on,\" said Prince Edward.Prince Philip, who turns 100 in June, stepped back from public life in 2017 and has been taken to the hospital several times in recent years. In December 2019, he received hospital treatment for a pre-existing condition.His latest admission was not an emergency, according to a royal source, who said he traveled to King Edward VII Hospital by car and walked in unaided. The source added that the illness was not Covid-19 related.Prince Philip and Queen Elizabeth have both received at least one dose of a Covid-19 vaccine.The couple spent most of the past year at Windsor Castle, having moved away from Buckingham Palace during the first wave of the Covid-19 pandemic in spring 2020. CNN\\'s Katharina Krebs contributed to this report.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Prince Philip\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The husband of Queen Elizabeth II, currently being treated for an infection at King Edward VII\\'s Hospital.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Queen Elizabeth II\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The wife of Prince Philip, who has received at least one dose of a Covid-19 vaccine.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"King Edward VII\\'s Hospital\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The hospital where Prince Philip is receiving treatment for an infection.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Buckingham Palace\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The official residence of the British monarch, where updates on Prince Philip\\'s condition are provided.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Prince William\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The grandson of Prince Philip, who visited a vaccination center in Norfolk and provided an update on his grandfather\\'s condition.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Prince Edward\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The youngest son of Prince Philip, who provided an update on his father\\'s condition to the UK\\'s Sky News.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Covid-19\",\\n\\n\"entity_type\": \"DISEASE\",\\n\\n\"description\": \"The disease that both Prince Philip and Queen Elizabeth II have received vaccines for.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Windsor Castle\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The residence where Prince Philip and Queen Elizabeth II spent most of the past year during the Covid-19 pandemic.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince Philip\",\\n\\n\"tgt_id\": \"Queen Elizabeth II\",\\n\\n\"description\": \"Prince Philip is the husband of Queen Elizabeth II.\",\\n\\n\"weight\": 1.0,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince Philip\",\\n\\n\"tgt_id\": \"King Edward VII\\'s Hospital\",\\n\\n\"description\": \"Prince Philip is being treated for an infection at King Edward VII\\'s Hospital.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince Philip\",\\n\\n\"tgt_id\": \"Covid-19\",\\n\\n\"description\": \"Prince Philip has received at least one dose of a Covid-19 vaccine.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Queen Elizabeth II\",\\n\\n\"tgt_id\": \"Covid-19\",\\n\\n\"description\": \"Queen Elizabeth II has received at least one dose of a Covid-19 vaccine.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince William\",\\n\\n\"tgt_id\": \"Prince Philip\",\\n\\n\"description\": \"Prince William is the grandson of Prince Philip and provided an update on his condition.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 2\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince Edward\",\\n\\n\"tgt_id\": \"Prince Philip\",\\n\\n\"description\": \"Prince Edward is the youngest son of Prince Philip and provided an update on his condition.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 2\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': ' Kubinka, Russia (CNN)A child plays on a war tank.People eat ice cream as they walk past weapons capable of destroying an entire continent. Tens of thousands fill a park full of Russia\\'s latest military weapons:Helicopters. Missiles. Tanks. Boats. Submarines. This is the Disneyland of Russia\\'s military. And right now in Russia, patriotism is in. Its President, Vladimir Putin, opened Patriot Park this week in the latest move to capitalize on the popularity in Russia of the country\\'s recent displays of military force.JUST WATCHEDMilitary \\'fun park\\' opens in RussiaReplayMore Videos ...MUST WATCHMilitary \\'fun park\\' opens in Russia 01:54Read MoreWe arrive after an hour\\'s drive from Russia\\'s capital city, Moscow. We park and take a bus into the main area where a huge exhibition of weapons and technology is on display.Most people here are families. A father is here with his son. \"Russia is unbeatable\" he says -- and he wants his son to learn it. The air of patriotism is palpable here. As people walk by in Putin T-shirts, we search for Putin souvenirs on sale. No luck.But we do find several shops run by the Russian army. They\\'re quite popular. The shops sell camouflage jackets, fleeces, things like that. And to be honest, they\\'re pretty stylish.It\\'s all part of the effort to keep the military cool -- and reach out to the young. It seems to be working.JUST WATCHEDWho is Vladimir Putin?ReplayMore Videos ...MUST WATCHWho is Vladimir Putin? 01:45Elsewhere there\\'s a massive line of people queuing up for free army food. For the price of a wait, you can get a dollop of buckwheat porridge. More traditional fare seems hard to come by, though there are a lot of ice cream stands. We finally find a restaurant and I order a kebab with rice.Patriotic music blares nonstop.A stage hosts different acts: an air force choir singing, funky dancers dressed as Russian soldiers.Some children perform, too.A few foreign military types walk around. A Saudi Arabian Navy officer says they normally buy weapons from Americans -- but they are interested in the innovation here. We see uniforms of Venezuela and Myanmar, too.The park itself is massive. Our photographer takes a bus to a different area where there are live demonstrations.Re-enactments of key Russian and Soviet battles are expected to be a regular part of the Patriot Park experience.Here in the exhibition area, we see a Buk missile launcher on prominent display. This type of weapon  is suspected of downing an airliner last year. MH17 crashed last July, killing 298 people on board.Children play happily on the weaponry and people seem to enjoy themselves. And yet there is something brazen, if not insensitive about the display. These are, after all, the tools of war -- killing machines really -- paraded as if they are toys and rides at an amusement park. ', 'entities': [{'entity_name': 'KUBINKA', 'entity_type': 'LOCATION', 'description': 'A location in Russia where the Patriot Park is situated.', 'importance_score': 0.8}, {'entity_name': 'RUSSIA', 'entity_type': 'LOCATION', 'description': 'The country where the events described in the text take place.', 'importance_score': 0.9}, {'entity_name': 'VLADIMIR PUTIN', 'entity_type': 'PERSON', 'description': 'The President of Russia who opened Patriot Park.', 'importance_score': 0.9}, {'entity_name': 'PATRIOT PARK', 'entity_type': 'LOCATION', 'description': \"A park in Russia showcasing the country's latest military weapons.\", 'importance_score': 0.8}, {'entity_name': 'MOSCOW', 'entity_type': 'LOCATION', 'description': 'The capital city of Russia from where the journey to Patriot Park begins.', 'importance_score': 0.7}, {'entity_name': 'SAUDI ARABIAN NAVY', 'entity_type': 'ORGANIZATION', 'description': \"A foreign military organization interested in Russia's military innovations.\", 'importance_score': 0.6}, {'entity_name': 'MH17', 'entity_type': 'EVENT', 'description': 'An airliner crash event mentioned in the context of a Buk missile launcher display.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'VLADIMIR PUTIN', 'tgt_id': 'PATRIOT PARK', 'description': 'Vladimir Putin opened Patriot Park in Russia.', 'weight': 0.9, 'order': 1}, {'src_id': 'PATRIOT PARK', 'tgt_id': 'RUSSIA', 'description': 'Patriot Park is a location in Russia.', 'weight': 0.8, 'order': 1}, {'src_id': 'PATRIOT PARK', 'tgt_id': 'MOSCOW', 'description': \"Patriot Park is accessible after an hour's drive from Moscow.\", 'weight': 0.7, 'order': 2}, {'src_id': 'SAUDI ARABIAN NAVY', 'tgt_id': 'PATRIOT PARK', 'description': 'The Saudi Arabian Navy is interested in the military innovations displayed at Patriot Park.', 'weight': 0.6, 'order': 2}, {'src_id': 'MH17', 'tgt_id': 'PATRIOT PARK', 'description': 'The MH17 crash is mentioned in the context of a Buk missile launcher display at Patriot Park.', 'weight': 0.7, 'order': 2}]}) (input_keys={'input_text'}), Example({'input_text': 'Washington (CNN)President Donald Trump is seriously considering a plan to block $250 million in military assistance to Ukraine, a move that would further ingratiate him with Russian President Vladimir Putin, and has directed senior officials to review the aid package.Trump\\'s decision to order the review comes after the White House publicly lost a battle to slash foreign aid spending across the board. After scrapping the plan to slash $4 billion in foreign aid, Trump said his team would look to find cuts elsewhere in the aid budget.\"The President has made no secret when it comes to foreign assistance that US interests abroad should be prioritized and other foreign countries should also be paying their fair share,\" a senior administration official told CNN.Specifically, Trump has directed Defense Secretary Mark Esper and national security adviser John Bolton to oversee the process, the senior administration official said. The President has not yet made a final decision on whether to permanently block the funds, an administration official told CNN. The review process, however, has effectively paused disbursement of the funds, which are set to expire on September 30 if they are not used.Read MoreJames Mattis: \\'I had no choice but to leave\\' the Trump administrationThe Pentagon has already recommended to the White House that the hold on military assistance to Ukraine be lifted, an administration official and a US defense official told CNN Thursday. A Pentagon spokesperson declined to comment on the matter on Thursday.\"We do not publicly comment on internal budget deliberations. For further inquiries, I direct you to the White House Office of Management and Budget,\" said spokesperson Lt. Col. Carla Gleason.However the hold on the aid remains in place, as it is the White House\\'s call whether to lift it, the administration official said, fueling uncertainty within the administration about what will happen to the spending after the review is formally completed.In the meantime, agencies are authorized and encouraged to execute all processes to prepare for the obligation of those funds but must wait to obligate them until the policy review is complete and the President has made a final determination, the senior official said. Bipartisan angerIf Trump ultimately decides to block the aid package, a possibility first reported by Politico, it would likely prompt a bipartisan uproar from members of Congress who believe US military support is essential to countering Russia\\'s military involvement in Ukraine.Illinois Republican Rep. Adam Kinzinger, a member of the House Foreign Affairs Committee, voiced his strong opposition to that idea in a tweet Thursday: \"This is unacceptable. It was wrong when Obama failed to stand up to Putin in Ukraine, and it\\'s wrong now.\"Democratic Sen. Bob Menendez released a statement accusing the administration of circumventing Congress and \"undermining a key policy priority that has broad and deep bipartisan support.\"\"In willfully delaying these funds, the Trump Administration is once again trying to circumvent Congress\\' Constitutional prerogative of appropriating funds for U.S. government agencies. It is also undermining a key policy priority that has broad and deep bipartisan support,\" he said.\"Enough is enough. President Trump should stop worrying about disappointing Vladimir Putin and stand up for U.S. national security priorities,\" Menendez added.What will Trump do?Multiple sources familiar with the issue tell CNN that the President has floated the idea of halting the funding program for weeks. The White House has recently notified relevant agencies and congressional committees of its intent to block the aid to Ukraine, one source said.However, sources say that there are still questions about what Trump will ultimately do. Trump privately clashed with G7 leaders over reinviting PutinThe push to block the aid package has been supported by Trump\\'s acting chief of staff Mick Mulvaney but opposed by some within the State Department and national security council, according to another source. National security adviser John Bolton was in Kiev Wednesday, where he met with Ukrainian officials, but there is little indication he raised the possibility of blocking the funding.\"It was great to meet with my Ukrainian national security and defense colleagues in Kyiv. The discussions clearly show that we share a common commitment to preserving Ukraine\\'s security and sovereignty, and to ensuring it is not subject to Chinese economic exploitation,\" Bolton tweeted Wednesday. A US Department of State official told CNN on Thursday that the policy on Ukraine has not changed, adding the US remains committed to a robust partnership between the two countries. But Trump\\'s public deference to Putin and Russia has alarmed US allies and lawmakers. The issue has only been amplified by Trump\\'s recent comments at the G7 summit, in which he seemingly downplayed Russia\\'s military incursion in Ukraine and suggested that Russia be reinstated into the group of leading global economies.The US has provided Ukraine with more than $1 billion in security assistance since 2014 as it has sought to bolster the country\\'s military, which is facing an ongoing conflict with separatists in the country\\'s east, forces the Pentagon believes are backed, armed and even led by Moscow.In 2017, the Trump administration announced its decision to provide lethal anti-tank weapons, including US-made Javelin missiles, to Ukraine. \"Since 2014, there has been broad bipartisan support in the Senate for security assistance to Ukraine. If Trump\\'s OMB is really playing games with Ukrainian security assistance, then the response from Congress will be fierce. At the very least, Trump\\'s OMB should get out of the way and release the funds that Congress has already appropriated,\" a senior Democratic aide told CNN. Rep. Adam Schiff, the Democratic chairman of the House Intelligence Committee, tweeted Wednesday that such a move would be \"destructive to our national security\" and suggested that the decision is politically motivated. \"Trump is withholding vital military aid to Ukraine, while his personal lawyer seeks help from the Ukraine government to investigate his political opponent. It doesn\\'t take a stable genius to see the magnitude of this conflict. Or how destructive it is to our national security,\" Schiff wrote.Giuliani pushes for Biden investigationRudy Giuliani, who serves as Trump\\'s personal attorney, has long lobbied Ukraine to investigate former Vice President Joe Biden\\'s call in 2016 to remove the country\\'s top prosecutor, who at one point had been investigating a Ukrainian natural gas company connected to Biden\\'s son, Hunter.Last week, Giuliani said he had again raised the issue with a Ukrainian official, suggesting the former New York mayor is making a renewed push for the country to investigate Trump\\'s political enemies.Other Western governments also called for that prosecutor\\'s dismissal, and no evidence has indicated Biden\\'s move was inappropriate.Ukraine\\'s prosecutor general told Bloomberg in May he had no proof of wrongdoing by Biden or his son.Giuliani says he met with Ukrainian official to discuss BidenThe Biden campaign refused comment on Giuliani\\'s talks. The New York Times first reported Giuliani\\'s talks with the official. Asked Thursday if he\\'s spoken to the President at all about the military assistance to Ukraine, Giuliani told CNN: \"No, not in on it.\"Giuliani told CNN that the State Department informed him that Andriy Yermak, who he called the lawyer for Ukrainian President Volodymyr Zelensky, wanted to meet with him. Yermak was appointed as an aide to Zelensky in May, according to local media reports.The two spoke twice over the phone, with Yermak offering to come to the US to meet with Giuliani before the two agreed to meet in Madrid last month, Giuliani said.Giuliani claims that Yermak asked him questions and that he didn\\'t ask the Ukrainian lawyer to do anything because he \"didn\\'t need to.\" The focus of their conversation was on Biden\\'s possible role as then-vice president in the prosecutor\\'s dismissal and how Ukraine may have tried to damage Trump\\'s campaign, Giuliani said.The State Department confirmed last week that it had assisted in connecting Yermak and Giuliani.CNN\\'s Ryan Browne, Michael Warren and Pamela Brown contributed to this report.', 'entities': [{'entity_name': 'DONALD TRUMP', 'entity_type': 'PERSON', 'description': 'President of the United States, considering a plan to block military assistance to Ukraine.', 'importance_score': 1.0}, {'entity_name': 'VLADIMIR PUTIN', 'entity_type': 'PERSON', 'description': 'President of Russia, with whom Trump seeks to ingratiate himself.', 'importance_score': 0.9}, {'entity_name': 'UKRAINE', 'entity_type': 'LOCATION', 'description': 'Country receiving military assistance from the US, which Trump is considering blocking.', 'importance_score': 0.8}, {'entity_name': 'MARK ESPER', 'entity_type': 'PERSON', 'description': 'Defense Secretary overseeing the review of the aid package.', 'importance_score': 0.7}, {'entity_name': 'JOHN BOLTON', 'entity_type': 'PERSON', 'description': 'National security adviser involved in the review process.', 'importance_score': 0.7}, {'entity_name': 'PENTAGON', 'entity_type': 'ORGANIZATION', 'description': 'US Department recommending the lifting of the hold on military assistance to Ukraine.', 'importance_score': 0.6}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'Administration making the final decision on the aid package.', 'importance_score': 0.8}, {'entity_name': 'CONGRESS', 'entity_type': 'ORGANIZATION', 'description': 'Legislative body expressing bipartisan opposition to blocking the aid package.', 'importance_score': 0.7}, {'entity_name': 'ADAM KINZINGER', 'entity_type': 'PERSON', 'description': 'Republican Representative opposing the blocking of aid to Ukraine.', 'importance_score': 0.6}, {'entity_name': 'BOB MENENDEZ', 'entity_type': 'PERSON', 'description': \"Democratic Senator criticizing the administration's handling of the aid package.\", 'importance_score': 0.6}], 'relationships': [{'src_id': 'DONALD TRUMP', 'tgt_id': 'UKRAINE', 'description': 'Trump is considering blocking military assistance to Ukraine.', 'weight': 0.9, 'order': 1}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'VLADIMIR PUTIN', 'description': \"Trump's decision to block aid to Ukraine would ingratiate him with Putin.\", 'weight': 0.8, 'order': 2}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'MARK ESPER', 'description': 'Trump has directed Esper to oversee the review of the aid package.', 'weight': 0.7, 'order': 1}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'JOHN BOLTON', 'description': 'Trump has directed Bolton to oversee the review process.', 'weight': 0.7, 'order': 1}, {'src_id': 'PENTAGON', 'tgt_id': 'WHITE HOUSE', 'description': 'The Pentagon has recommended to the White House that the hold on military assistance to Ukraine be lifted.', 'weight': 0.6, 'order': 1}, {'src_id': 'CONGRESS', 'tgt_id': 'DONALD TRUMP', 'description': \"Congress is expressing bipartisan opposition to Trump's decision to block the aid package.\", 'weight': 0.7, 'order': 2}, {'src_id': 'ADAM KINZINGER', 'tgt_id': 'DONALD TRUMP', 'description': \"Kinzinger opposes Trump's idea of blocking aid to Ukraine.\", 'weight': 0.6, 'order': 2}, {'src_id': 'BOB MENENDEZ', 'tgt_id': 'DONALD TRUMP', 'description': \"Menendez criticizes the administration's handling of the aid package.\", 'weight': 0.6, 'order': 2}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsMeltzer completes 3,524 km in under 46 daysBeats rival Jurek\\'s year-long recordRan for 15 hours each day (CNN)He stands at the foot of Maine\\'s Mount Katahdin. He is 3,524 kilometers away from making history.Forty five days, 22 hours, and 38 minutes later, American ultrarunner Karl Meltzer, with strapping on both knees and a head torch to light the way, arrives at Springer Mountain in Georgia. He slaps the landmark sign in delight. No wonder -- he\\'s just completed the equivalent of going up the Empire State Building 443 times.Follow @cnnsport\\n\\nSince August 3, he\\'s been running an average of 14.8 hours a day, burning 345,122 calories, crossing 14 states, and working through 20 pairs of running shoes.Read: Triathlete pushes his body over the limitRead MoreBut all that fades into irrelevance now -- 11,000 people are estimated to have completed the Appalachian Trail, but none as fast as Meltzer.The record-breaking runMeltzer celebrates his recordThe Appalachian Trail runs along the east coast of America and is a favored route for ramblers. It mainly covers a terrain of forest trails and open fields, but also traverses roads, towns and farms, taking in some breathtaking scenery.The Trail would take hikers about six months to complete in its entirety, but Meltzer\\'s record took just a quarter of that, though his record attempt has been nearly a decade in the making.\"I\\'ve been trying to do it for nine years and the Appalachian Trail has been one of my favorite trails ever to run on,\" he told CNN. \"Now, after trying three times, I finally get the chance to say I\\'m the king of the AT.\" The previous record of 46 days, eight hours and seven minutes was held by Scott Jurek, a friend, training partner, and rival of Meltzer. Jurek ran his record from south to north, the opposite way to his counterpart. \"It was great to beat Scott Jurek\\'s record, too,\" said Meltzer, \"and to have him there at the end to run with me. It was really an honor and inspiration. Now it\\'s my turn to hand over the baton to someone else.\"\\'A long journey of misery\\': Ultrarunners -- a rare breed After one and a half months of four o\\'clock starts in the morning in order to run 50 miles, Meltzer\\'s feat was grueling and, in his own words, miserable.But the 48-year-old is by no means alone in his quest to carry his body over immense distances.An ultramarathon refers to any race longer than 42.195 km (26.219 miles), the length of a regular marathon. They can take place over a succession of days, or simply involve a single race, usually measuring between 50 and 200 km.Competitors at the Marathon des Sables in MoroccoThese races are often made worse by punishing conditions overhead and underfoot. The Marathon des Sables (MDS), for example, is a six-day, 251-km race across the Sahara Desert. Not only is the soft sand notoriously difficult to run on, but temperatures also often exceed 120°F (50°C). It\\'s not for the fainthearted. Blisters can develop from the smallest grain of sand getting in your shoes, and feet can swell from the heat. There are also more long-term problems: research has suggested that running such extreme distances may cause damage to heart tissue.Read: How to survive a desert marathonThe Badwater Ultramarathon vies with the MDS for the title of the world\\'s toughest footrace. The 135-mile course in California\\'s Death Valley reaches temperatures similar to those in the Sahara. Contestants are often seen wearing full body white suits as protection from UV light. It is estimated that 20-40% of runners on the start line fail to reach the finish.A lonely runner at BadwaterThen there\\'s the Hardrock Hundred Mile Endurance Run in Colorado that covers 12,000 feet (3,700 m) of elevation 13 times. The quickest time is a mere 22 hours 41 minutes. Meltzer has won this race five times -- more than any other man (Betsy Kalmeyer has the most female wins, also with five.) He\\'s completed 89 ultramarathons in his career and has won 38 100-mile races -- again, more than any other man -- having racked up six wins at the Wastach 100 and five at the Squaw Peak 50.But despite his breathtaking stamina, Meltzer is still human, snacking on candy, and ended each day on the Trail with a cold beer. Record broken, he now intends to catch up on sleep and play some golf.But of course he\\'s got a world record for that, too, having played the most holes ever (230) in 12 hours. Maybe not so human after all.Meltzer began his record attempt on August 3.', 'entities': [{'entity_name': 'KARL MELTZER', 'entity_type': 'PERSON', 'description': 'American ultrarunner who completed 3,524 km in under 46 days, breaking the previous record held by Scott Jurek.', 'importance_score': 1.0}, {'entity_name': 'SCOTT JUREK', 'entity_type': 'PERSON', 'description': 'Friend, training partner, and rival of Karl Meltzer, who held the previous record for completing the Appalachian Trail.', 'importance_score': 0.9}, {'entity_name': 'APPALACHIAN TRAIL', 'entity_type': 'LOCATION', 'description': 'A favored route for ramblers along the east coast of America, covering forest trails, open fields, roads, towns, and farms.', 'importance_score': 0.8}, {'entity_name': 'EMPIRE STATE BUILDING', 'entity_type': 'LOCATION', 'description': 'A landmark in New York City, used metaphorically to describe the distance Karl Meltzer ran.', 'importance_score': 0.7}, {'entity_name': 'MARATHON DES SABLES', 'entity_type': 'EVENT', 'description': 'A six-day, 251-km race across the Sahara Desert, known for its punishing conditions.', 'importance_score': 0.7}, {'entity_name': 'BADWATER ULTRAMARATHON', 'entity_type': 'EVENT', 'description': \"A 135-mile race in California's Death Valley, known as one of the world's toughest footraces.\", 'importance_score': 0.7}, {'entity_name': 'HARDROCK HUNDRED MILE ENDURANCE RUN', 'entity_type': 'EVENT', 'description': 'A race in Colorado that covers 12,000 feet of elevation 13 times, with the quickest time being 22 hours 41 minutes.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'KARL MELTZER', 'tgt_id': 'SCOTT JUREK', 'description': 'Karl Meltzer broke the record previously held by Scott Jurek for completing the Appalachian Trail.', 'weight': 1.0, 'order': 1}, {'src_id': 'KARL MELTZER', 'tgt_id': 'APPALACHIAN TRAIL', 'description': 'Karl Meltzer completed the Appalachian Trail in a record-breaking time.', 'weight': 1.0, 'order': 1}, {'src_id': 'SCOTT JUREK', 'tgt_id': 'APPALACHIAN TRAIL', 'description': 'Scott Jurek held the previous record for completing the Appalachian Trail.', 'weight': 0.9, 'order': 1}, {'src_id': 'KARL MELTZER', 'tgt_id': 'MARATHON DES SABLES', 'description': 'Karl Meltzer is an ultrarunner who has participated in extreme races like the Marathon des Sables.', 'weight': 0.7, 'order': 2}, {'src_id': 'KARL MELTZER', 'tgt_id': 'BADWATER ULTRAMARATHON', 'description': 'Karl Meltzer is an ultrarunner who has participated in extreme races like the Badwater Ultramarathon.', 'weight': 0.7, 'order': 2}, {'src_id': 'KARL MELTZER', 'tgt_id': 'HARDROCK HUNDRED MILE ENDURANCE RUN', 'description': 'Karl Meltzer has won the Hardrock Hundred Mile Endurance Run five times.', 'weight': 0.7, 'order': 2}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)NATO announced on Monday that some member countries are putting forces on standby and sending additional ships and fighter jets to eastern Europe as the United Kingdom and the United States ordered diplomats\\' families to withdraw from Ukraine amid concerns of a Russian invasion.The developments underscore growing fears of a possible Russian incursion, following months of military maneuvering by Moscow that has set off a tit-for-tat series of escalations with NATO, a military alliance of Western powers. Russia has been building up forces and equipment near its border with Ukraine since last year, and is sending troops into neighboring Belarus for joint exercises next month that Ukrainian officials fear could serve as a \"full-fledged theater of operations\" from which to launch an attack.US intelligence officials have said they don\\'t know whether Russian President Vladimir Putin has decided to invade Ukraine. The Kremlin has repeatedly denied it is planning to do so, but has argued that NATO support for the country constitutes a growing threat on Russia\\'s western flank.Read MoreUkrainian soldiers in a front line trench near pro-Russian separatists take shelter from the extreme cold. After high-level talks between Moscow and Washington wrapped earlier this month without any breakthroughs over the tens of thousands of Russian troops amassed on Ukraine\\'s border, prospects of de-escalation and future diplomacy have been cast into doubt. Now the Biden administration is weighing whether to deploy as many as 5,000 US troops, according to a senior defense official, to shore up NATO allies in Eastern Europe and the Baltics.  On Monday, both NATO and Russia pointed the finger at each other for the ratcheting tensions. \"Tensions are escalating due to concrete actions taken by the US and NATO,\" Kremlin spokesman Dmitry Peskov said, referring to NATO\\'s announcement.\"I mean the informational hysteria that we are witnessing -- it is generously framed by a huge amount of false information, just lies and fakes,\" Peskov added.Biden administration identifying troops for possible deployment to Eastern Europe amid Russia tensionsNATO Secretary General Jens Stoltenberg said in a Monday statement that the alliance would continue to take necessary measures \"to protect and defend all Allies, including by reinforcing the eastern part of the Alliance.\" He added: \"We will always respond to any deterioration of our security environment, including through strengthening our collective defence.\"The NATO statement said that in recent days, a flurry of member states had announced deployments to the region. They include Denmark sending a frigate to the Baltic Sea and four F-16 fighter jets to Lithuania, the Netherlands deploying two F-35 fighter aircraft to Bulgaria, France expressing its readiness to send troops to Romania and the US considering increasing its military presence in the East. Stoltenberg cautioned in a news conference on Monday that the moves were defensive and proportionate -- and that NATO was \"not threatening Russia.\" There was no suggestion in the statement that the troops would be used to assist Ukraine, which is not a NATO member. NATO, Europe and the US have been united in their opposition to any further Russian incursion in Ukraine, promising to lend support to Ukraine and hand down \"massive costs\" for Moscow in the event they make a move. But the shape of that response and what steps they might take are still unclear.US Secretary of State Antony Blinken on Sunday warned that \"a single additional Russian force\" entering Ukraine \"in an aggressive way\" would result in a severe response by the US and its allies. His comments came after US President Joe Biden muddled the message of severe consequences last week, saying at a news conference that a \"minor incursion\" might not trigger the same response from NATO as an invasion. The President later clarified that any Russian troops crossing Ukraine\\'s border would constitute an invasion.CNN reported last week that the US military goal would be to \"meet the capability\" NATO allies in the region are asking for, a defense official said. On Monday, Pentagon spokesman John Kirby said that as many as 8,500 US troops have been put on heightened preparedness to deploy.Local residents Marinka, Ukraine, walk past an apartment building destroyed during fighting in 2015 between the Ukrainian army and Russian-backed separatists. Fighting is still ongoing.The mobilization of Western forces comes amid a significant uptick in Russia\\'s military movements, not only on Ukraine\\'s border -- where the Ukrainian Defense Ministry says there are now 127,000 Russian troops stationed -- but elsewhere in Europe. The Russian Defense Ministry announced last week that 140 ships and 10,000 servicemen would take part in sweeping exercises from the Pacific to the Atlantic, including off Ireland\\'s southwest coast in February. The ministry said the main purpose of the drills is to protect Russia\\'s national interests in the world\\'s oceans, TASS state news agency reported.In Ukraine, one question looms: What will we do if Russia attacks? Ireland\\'s Foreign Affairs Minister Simon Coveney told reporters on Monday that he had raised concerns with Moscow about Russia\\'s plans. \"This isn\\'t the time to increase military activity and tension in the context of what\\'s happening with and in Ukraine at the moment,\" Coveney said. Coveney and other European Union foreign ministers met in Brussels to discuss the security situation in Ukraine and what action to take should Russia cross into Ukrainian territory; Blinken joined by video link following talks with Lavrov in Geneva. EU foreign ministers want to send a clear message to Russia that if it decides to invade Ukraine it will be hit by the \"most comprehensive\" package of sanctions and restrictions ever prepared by the EU, Coveney said.But while NATO countries ramp up readiness and the EU discusses heightened security concerns, Ukraine\\'s own government has not, at least outwardly, signaled the same sense of urgency. In a call with the President of the European Council Charles Michel on Monday, Ukrainian President Volodymyr Zelensky said the country will not succumb to provocations, but would \"keep calm.\" Zelensky and his government have previously downplayed the danger of a Russian invasion, noting that the threat has existed for years and has not become greater in recent months. The conflict between Ukraine and Russia has been rumbling since 2014, when Russia annexed Crimea and fomented a rebellion in Ukraine\\'s east. Despite a cease fire in 2015, the two sides have not seen a stable peace.Tensions are high on Ukraine\\'s border with Russia. Here\\'s what you need to knowUkraine on Monday criticized the US\\' decision to withdraw diplomats\\' families and reduce staff levels at the US Embassy in Kyiv, with Oleg Nikolenko, spokesman for the Ukrainian Foreign Ministry, saying in a tweet: \"We believe such a step to be a premature one & an instance of excessive caution.\" But other countries are also taking precautions in Kyiv, Ukraine\\'s capital. The UK Foreign Office also announced Monday that some British Embassy staff and dependents were being withdrawn from Kyiv in response to \"growing threats from Russia.\" UK Prime Minister Boris Johnson said Monday that the intelligence around the situation in Ukraine was \"gloomy\" but that war was not inevitable.Speaking to reporters at the EU Foreign Affairs Council in Brussels on Monday, the bloc\\'s chief diplomat Josep Borrell said Europe will seek to simmer tensions between Russia and Ukraine through diplomacy first but warned Moscow it is prepared to take action if necessary. He also urged for calm, stressing the need to avoid \"alarmist reactions that could that could lead to an escalation. We don\\'t want people to have a breakdown on this.\"  Borrell added that the EU had no current plans to evacuate diplomatic staff and their families from Ukraine.Eliza Mackintosh wrote and reported in London. Matthew Chance in Kyiv, Sharon Braithwaite, Nina Avramova, Sarah Dean, James Frater and Lindsay Isaac in London, Peter Taggart in Northern Ireland, Niamh Kennedy in Dublin and Anna Chernova in Moscow contributed to this report.', 'entities': [{'entity_name': 'NATO', 'entity_type': 'ORGANIZATION', 'description': 'A military alliance of Western powers.', 'importance_score': 1.0}, {'entity_name': 'RUSSIA', 'entity_type': 'LOCATION', 'description': 'A country involved in military maneuvering near its border with Ukraine.', 'importance_score': 1.0}, {'entity_name': 'UKRAINE', 'entity_type': 'LOCATION', 'description': 'A country facing concerns of a Russian invasion.', 'importance_score': 1.0}, {'entity_name': 'UNITED STATES', 'entity_type': 'LOCATION', 'description': \"A country that has ordered diplomats' families to withdraw from Ukraine.\", 'importance_score': 0.9}, {'entity_name': 'UNITED KINGDOM', 'entity_type': 'LOCATION', 'description': \"A country that has ordered diplomats' families to withdraw from Ukraine.\", 'importance_score': 0.9}, {'entity_name': 'VLADIMIR PUTIN', 'entity_type': 'PERSON', 'description': 'The President of Russia.', 'importance_score': 0.8}, {'entity_name': 'JOE BIDEN', 'entity_type': 'PERSON', 'description': 'The President of the United States.', 'importance_score': 0.8}, {'entity_name': 'DMITRY PESKOV', 'entity_type': 'PERSON', 'description': 'The Kremlin spokesman.', 'importance_score': 0.7}, {'entity_name': 'JENS STOLTENBERG', 'entity_type': 'PERSON', 'description': 'The NATO Secretary General.', 'importance_score': 0.7}, {'entity_name': 'ANTONY BLINKEN', 'entity_type': 'PERSON', 'description': 'The US Secretary of State.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'NATO', 'tgt_id': 'RUSSIA', 'description': \"NATO is taking measures to protect and defend its allies due to Russia's military maneuvering near Ukraine.\", 'weight': 0.9, 'order': 1}, {'src_id': 'UNITED STATES', 'tgt_id': 'UKRAINE', 'description': \"The United States has ordered diplomats' families to withdraw from Ukraine due to concerns of a Russian invasion.\", 'weight': 0.8, 'order': 1}, {'src_id': 'UNITED KINGDOM', 'tgt_id': 'UKRAINE', 'description': \"The United Kingdom has ordered diplomats' families to withdraw from Ukraine due to concerns of a Russian invasion.\", 'weight': 0.8, 'order': 1}, {'src_id': 'RUSSIA', 'tgt_id': 'UKRAINE', 'description': 'Russia has been building up forces near its border with Ukraine, leading to concerns of an invasion.', 'weight': 0.9, 'order': 1}, {'src_id': 'VLADIMIR PUTIN', 'tgt_id': 'RUSSIA', 'description': \"Vladimir Putin is the President of Russia, involved in the country's military maneuvering.\", 'weight': 0.8, 'order': 1}, {'src_id': 'JOE BIDEN', 'tgt_id': 'UNITED STATES', 'description': \"Joe Biden is the President of the United States, who has ordered diplomats' families to withdraw from Ukraine.\", 'weight': 0.8, 'order': 1}, {'src_id': 'DMITRY PESKOV', 'tgt_id': 'RUSSIA', 'description': \"Dmitry Peskov is the Kremlin spokesman, representing Russia's stance on the escalating tensions.\", 'weight': 0.7, 'order': 1}, {'src_id': 'JENS STOLTENBERG', 'tgt_id': 'NATO', 'description': \"Jens Stoltenberg is the NATO Secretary General, leading the alliance's response to Russia's actions.\", 'weight': 0.7, 'order': 1}, {'src_id': 'ANTONY BLINKEN', 'tgt_id': 'UNITED STATES', 'description': 'Antony Blinken is the US Secretary of State, who has warned of severe consequences if Russia invades Ukraine.', 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)This weekend either Lewis Hamilton or Max Verstappen will be crowned the Formula One world champion. Either way, the sport won big in 2021. This year\\'s success starts with a boom in the sport\\'s fanbase that can be pinned to Netflix\\'s \"Drive to Survive\" docuseries. The show is a crash course on the 10 teams, the 20 drivers, the rivalries between them and the race competition structure. A word-of-mouth campaign for the series along with short, easy viewing episodes made it a perfect pandemic-time binge watch for millions around the world.The series\\' intimate interviews combined with the best action from races and the high level drama is a strong pitch for the real-life spectacle of Formula One.The multifaceted storytelling lets fans focus on the aspects of the sport that most appeal to them. And most importantly, \"Drive to Survive\" primed fans for an easy transition to the track when the 2021 season started.Read MoreThe popularity of the Netflix program, notably in the US, has paid dividends. ESPN says its race viewership in 2021 is up 56% over 2020. There was record attendance at the US Grand Prix in Austin this October -- drivers also credit the docuseries for the sport\\'s growth, including Hamilton himself. READ: Title rivals wary of being on collision course in Abu Dhabi showdownMax Verstappen and Lewis Hamilton have created a thrilling title race. Title race enthralls New fans are important but getting them to stick with the sport is critical. This year\\'s constant action on the track anchored by the Hamilton-Verstappen title fight has satisfied the second part of that equation. Eyes across the globe will be on all 58 laps in Abu Dhabi on Sunday, the final race to determine who takes home the title. Up until the last lap, every second of the season has been and will be a nail biter.All the variables that brought the two drivers to tally the same exact score heading into the finale is what kept fans\\' attention throughout the season. Think Verstappen\\'s car perched on top of Hamilton\\'s after the crash in Monza or the smoke rising forebodingly from Hamilton\\'s brakes seconds before the restart in Baku. Verstappen\\'s car ended up on top of Hamilton\\'s at the Italian Grand Prix in September.The best racing is when the two are at it, wheel-to-wheel, like they were through the opening laps of the British Grand Prix.Sprint Qualifying, a format introduced to three weekends this season was seen across the community as a controversial addition to the sport. Despite that, it provided something new for fans who welcomed the extra racing.F1 still has improvements to make on several fronts that would make the sport and viewing experience more inclusive.There is still an obvious need for greater diversity behind the wheel and in the institution itself. The league\\'s first full-time driver from China, Guanyu Zhou, will be a much-welcomed addition to the track when he makes his debut next season. However, it is hard to ignore just how White and male dominated the sport is.JUST WATCHEDValtteri Bottas: F1 title race will go down to the wireReplayMore Videos ...MUST WATCHValtteri Bottas: F1 title race will go down to the wire 04:17The FIA, the governing body of the sport, also has some work to do to make rules more transparent and easier to follow. Commentators do their best to make sense of the calls being made by the stewards, but sometimes, even they are left scratching their heads -- driver and team penalties often seem totally arbitrary or ill-explained.Fan accessibility will remain a challenge. Part of that is built-in because F1 is a global sport with just over 20 events a year. Those constraints make attending a race weekend expensive. For American fans eager to make it to a race, there is some good news: a race in Miami next season means two races in the US for the first time since 1984.After the exciting culmination of this season comes the anticipation for the next, with new car designs and some changes in the driver lineup. Season four of \"Drive to Survive\" is imminent too. All of that adds up to a feeling that there is so much more to come from the sport. ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the given entity types. We then determine the relationships between these entities, considering the context and interactions described in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Lewis Hamilton\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Formula One driver who is competing for the world championship.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Max Verstappen\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Formula One driver who is competing for the world championship.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Formula One\",\\n\\n\"entity_type\": \"SPORT\",\\n\\n\"description\": \"A motorsport that is the focus of the article, featuring drivers like Lewis Hamilton and Max Verstappen.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Netflix\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A streaming service that produced the \\'Drive to Survive\\' docuseries, which has boosted the popularity of Formula One.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Drive to Survive\",\\n\\n\"entity_type\": \"TV_SHOW\",\\n\\n\"description\": \"A docuseries on Netflix that has increased the fanbase of Formula One.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"ESPN\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A sports network that reported a 56% increase in race viewership in 2021.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"US Grand Prix\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A Formula One race event held in Austin, Texas, with record attendance in October.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Abu Dhabi\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The location of the final race in the Formula One season, which will determine the world champion.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Guanyu Zhou\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Formula One driver from China who will make his debut next season.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"FIA\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The governing body of Formula One, which needs to improve transparency in its rules.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Lewis Hamilton\",\\n\\n\"tgt_id\": \"Max Verstappen\",\\n\\n\"description\": \"Competing against each other for the Formula One world championship.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Drive to Survive\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"A TV show that has increased the popularity of Formula One.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Netflix\",\\n\\n\"tgt_id\": \"Drive to Survive\",\\n\\n\"description\": \"A streaming service that produced the \\'Drive to Survive\\' docuseries.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"ESPN\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"A sports network that reported increased viewership of Formula One races.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"US Grand Prix\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"A Formula One race event with record attendance.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Abu Dhabi\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"The location of the final race in the Formula One season.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Guanyu Zhou\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"A new driver who will join Formula One next season.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"FIA\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"The governing body of Formula One that needs to improve its rules\\' transparency.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)In a five word tweet, Andy Murray made clear he had no sympathy for a fellow tennis player who had just been banned from tennis for doping.Follow @cnnsport\\n\\nAfter 29-year-old American Wayne Odesnik was handed a 15-year ban after testing positive for a range of performance enhancing drugs including anabolic steroids, the 2013 Wimbledon champion Murray tweeted: \"Bye bye Wayne... Good riddance.\"Bye bye Wayne... Good riddance— Andy Murray (@andy_murray) March 18, 2015\\nThis isn\\'t the first time Odesnik has been caught cheating -- he was initially given a two-year ban in 2010 when Australian customs officials discovered eight vials of human growth hormone in his luggage. As this is his second offense the International Tennis Federation increased his punishment to 15 years with Odesnik, who is ranked 267 in the world, subsequently announcing his retirement.Odesnik, who has made over $1m in prize money over his career, says the positive test results weren\\'t his fault.Read MoreJUST WATCHEDThe power of tennis statisticsReplayMore Videos ...MUST WATCHThe power of tennis statistics 03:46\"In December 2014, I unknowingly ingested a contaminated over-the-counter supplement,\" Odesnik said in a statement.\"Upon learning of my positive test results I was immediately heartbroken as words could not describe my shock and disappointment,\" added the former world No. 77.\"Being the most tested American player on tour, I would never knowingly have taken any chance of consuming a banned substance.\"Fellow American tennis player Andy Roddick was also in no mood to forgive Odesnik, tweeting: \"I hate that he has a U.S. flag next to his name when he\\'s cheating. Good riddance.\"According to the United States Anti-Doping Agency (USADA), Odesnik provided out-of-competition urine samples in December 2014 and January 2015 which tested positive.\"[It] was his second such violation, having been sanctioned in 2010 for the possession of human growth hormone. It was, therefore, determined that he is suspended from participation for a period of 15 years\" USADA said in a statement.\"It was also determined that Mr Odesnik\\'s results at the Happy Valley Challenger event, Australian Open and Maui Challenger event should be disqualified, with forfeiture of the ranking points and prize money.\"Odesnik was born in Johannesburg but moved to the U.S. when he was three, before turning pro in 2004. Read: Thatch point! Roger Federer ribs Andy Murray\\'s hairstyle on TwitterRead: The tournament that \\'disgraced America\\'', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Andy Murray\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player and the 2013 Wimbledon champion.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Wayne Odesnik\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A 29-year-old American tennis player who was banned for 15 years for doping.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"International Tennis Federation\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The governing body that increased Odesnik\\'s punishment to 15 years.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"United States Anti-Doping Agency\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The agency that tested Odesnik\\'s samples and confirmed his second doping violation.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Wimbledon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A prestigious tennis tournament where Murray won in 2013.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Andy Murray\",\\n\\n\"tgt_id\": \"Wayne Odesnik\",\\n\\n\"description\": \"Andy Murray expressed no sympathy for Wayne Odesnik after his doping ban.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Wayne Odesnik\",\\n\\n\"tgt_id\": \"International Tennis Federation\",\\n\\n\"description\": \"Wayne Odesnik was banned for 15 years by the International Tennis Federation.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Wayne Odesnik\",\\n\\n\"tgt_id\": \"United States Anti-Doping Agency\",\\n\\n\"description\": \"Wayne Odesnik\\'s doping violation was confirmed by the United States Anti-Doping Agency.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': 'Zurich Switzerland has chosen Lockheed Martin\\'s F-35A Lightning II as its next-generation fighter jet, the government said on Wednesday, angering opponents who have pledged a new referendum to overturn what they dubbed an unnecessary \"Ferrari\" option.The $5.5 billion deal adds a 15th nation to the world\\'s largest weapons project -- a family of interconnected, single-engine jets to be used by the United States and its allies and partners.It came alongside a $2.1 billion agreement to buy the Patriot surface-to-air missile system from US group Raytheon, with European competitors losing out on both deals.The F-35 has faced multiple budget overruns, delays and technical setbacks, but is building export momentum. Critics say the project, valued at trillions of dollars over its lifetime, has seen costs soar while failing to meet goals on capability.Neutral Switzerland will buy 36 F-35As after an evaluation found it had \"the highest overall benefit at the lowest overall cost,\" the government said.Read MoreBiden admin intends to move forward with $23B UAE weapons salesThe aircraft beat bids from Boeing\\'s F/A-18 Super Hornet, the Rafale from France\\'s Dassault and the four-nation Eurofighter built by Germany- and Spain-backed Airbus, Italy\\'s Leonardo and Britain\\'s BAE Systems.The decision drew immediate criticism from anti-armaments campaigners and left-wing parties who will now launch a campaign for a referendum on the issue, the third Swiss vote on buying fighter jets.Voters seven years ago rejected the purchase of Gripen jets from Sweden\\'s Saab, while the 6 billion Swiss franc ($6.5 billion) funding, which led to the decision to buy the F-35As, was only narrowly approved last year.Opponents say Switzerland doesn\\'t need cutting-edge warplanes to defend its Alpine territory, which a supersonic jet can cross in 10 minutes.US warplanes fly first combat missions off foreign aircraft carrier since World War II\"The decision is simply incomprehensible,\" said Priska Seiler Graf, a member of Parliament for the left-leaning Social Democrats (SP), who has raised concerns about the cost.\"It\\'s not just about buying them, but the upkeep and operating costs,\" she added. \"We should seek a European solution ... we don\\'t want to be dependent on the United States.\"The government picked the Patriot missile system over Franco-Italian group Eurosam.Defense Minister Viola Amherd said the F-35As were chosen after being the most impressive performer in an evaluation and offered best value for money.Total costs of 15.5 billion francs ($16.7 billion) came in 2 billion francs cheaper than the next lowest bidder, the government said, based on buying and operating the aircraft over 30 years.\"We would not have bought a Ferrari if a VW would do and the Ferrari would be three times more expensive,\" Amherd told a news conference.The Swiss Parliament now has to approve the funding for the purchase, with the debate scheduled for early next year. It can debate costs and terms but not revisit the model selection.Dozens of US Air Force F-35 fighters taxi on the runway in preparation for a combat power exercise on Nov. 19, 2018, at Hill Air Force Base, Utah. The fighter decision was closely watched as the first of three face-offs ahead of Finland and Canada.Lockheed\\'s stealthy fifth-generation fighter recently added Poland to its list of European customers which includes Belgium, Denmark, Italy, the Netherlands, Norway, and Britain.US President Joe Biden had lobbied for American companies when meeting his Swiss counterpart while in Geneva for his summit with Russian President Vladimir Putin this month.JUST WATCHEDWatch US F-35 jet fighters arrive in Europe (2017)ReplayMore Videos ...MUST WATCHWatch US F-35 jet fighters arrive in Europe (2017) 00:55Analysts said the decision to snub both the European fighter jet candidates and surface-to-air missile offering could be seen as a Swiss rebuff to the European Union in a time of strained relations between Bern and Brussels after the collapse of talks over a new agreement governing trade and other matters.By doubling down on US suppliers the government could antagonize the 49.8% of voters who opposed funding last year.South Korea rolls out the KF-21, joining elite group of global supersonic fighter jet makersAnti-arms campaigners say Switzerland, which last fought a foreign war more than 200 years ago and has no discernable enemies, does not need cutting-edge fighters.But supporters have said Switzerland needs to be able to protect itself without relying on others.Jonas Kampus, political secretary of the Group for a Switzerland without an Army, said he was confident of winning a referendum against the F-35As.The government \"can expect a heavy defeat in the vote. The follow-up polls in September (2020) showed a clear rejection of the F-35 among the voting population,\" he said.Marionna Schlatter, a lawmaker with the Greens Party said the September poll was too close to ignore opposition concerns.\"The people don\\'t want a Ferrari in the air,\" she said.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies described in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Zurich Switzerland\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A city and country where the decision to buy F-35A Lightning II was made.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Lockheed Martin\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A company that manufactures the F-35A Lightning II.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"F-35A Lightning II\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A next-generation fighter jet chosen by Zurich Switzerland.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Patriot surface-to-air missile system\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A missile system bought alongside the F-35A Lightning II.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Raytheon\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A US group that manufactures the Patriot missile system.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Boeing\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A company that manufactures the F/A-18 Super Hornet.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"F/A-18 Super Hornet\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A fighter jet bid by Boeing.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Dassault\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A French company that manufactures the Rafale.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Rafale\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A fighter jet bid by Dassault.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Eurofighter\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A fighter jet built by Germany- and Spain-backed Airbus, Italy\\'s Leonardo, and Britain\\'s BAE Systems.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Airbus\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A company that is part of the consortium building the Eurofighter.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Leonardo\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"An Italian company that is part of the consortium building the Eurofighter.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"BAE Systems\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A British company that is part of the consortium building the Eurofighter.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Swiss Parliament\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The legislative body of Switzerland that will approve the funding for the F-35A purchase.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Priska Seiler Graf\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A member of Parliament for the left-leaning Social Democrats who raised concerns about the cost of the F-35A.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Viola Amherd\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The Defense Minister of Switzerland who justified the choice of the F-35A.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Joe Biden\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The President of the United States who lobbied for American companies.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Vladimir Putin\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The President of Russia with whom Joe Biden had a summit.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Jonas Kampus\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The political secretary of the Group for a Switzerland without an Army who is confident of winning a referendum against the F-35A.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Marionna Schlatter\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A lawmaker with the Greens Party who expressed opposition to the F-35A.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"F-35A Lightning II\",\\n\\n\"description\": \"Zurich Switzerland has chosen the F-35A Lightning II as its next-generation fighter jet.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Patriot surface-to-air missile system\",\\n\\n\"description\": \"Zurich Switzerland has agreed to buy the Patriot surface-to-air missile system.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"F-35A Lightning II\",\\n\\n\"tgt_id\": \"Lockheed Martin\",\\n\\n\"description\": \"The F-35A Lightning II is manufactured by Lockheed Martin.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Patriot surface-to-air missile system\",\\n\\n\"tgt_id\": \"Raytheon\",\\n\\n\"description\": \"The Patriot surface-to-air missile system is manufactured by Raytheon.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Boeing\",\\n\\n\"description\": \"Zurich Switzerland considered the F/A-18 Super Hornet bid by Boeing.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Dassault\",\\n\\n\"description\": \"Zurich Switzerland considered the Rafale bid by Dassault.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Eurofighter\",\\n\\n\"description\": \"Zurich Switzerland considered the Eurofighter bid by Airbus, Leonardo, and BAE Systems.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Swiss Parliament\",\\n\\n\"description\": \"The Swiss Parliament will approve the funding for the F-35A purchase.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Priska Seiler Graf\",\\n\\n\"description\": \"Priska Seiler Graf, a member of Parliament, raised concerns about the cost of the F-35A.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Viola Amherd\",\\n\\n\"description\": \"Viola Amherd, the Defense Minister, justified the choice of the F-35A.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Joe Biden\",\\n\\n\"description\": \"Joe Biden lobbied for American companies during his meeting with the Swiss counterpart.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Vladimir Putin\",\\n\\n\"description\": \"Joe Biden met with Vladimir Putin during his summit in Geneva.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Jonas Kampus\",\\n\\n\"description\": \"Jonas Kampus is confident of winning a referendum against the F-35A.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Marionna Schlatter\",\\n\\n\"description\": \"Marionna Schlatter expressed opposition to the F-35A.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'London (CNN)Anna says she did not want to break the UK\\'s Covid-19 lockdown rules.The 37-year-old has worked through the pandemic. Anna says she cleans an office building in London which is open but nearly empty, as most staff are working from home. It\\'s a job the Ecuadorean native has done for five years, after moving to the UK from Spain in 2013 while looking for work. CNN is not disclosing Anna\\'s real name as she fears repercussions from her employer. Anna\\'s employer insisted that she continue to clean the building during the pandemic but cut her hours from five a day to four. She earns £10.75 ($14.77) per hour.\"I have been forced to go to work in a nonessential building,\" she told CNN. \"There is no one at work, I\\'m alone.\"Read MoreLast month Anna caught Covid-19. She\\'s unsure where she picked it up from but said it was likely \"on the bus or on the Underground.\" She lives in south London in a shared house and says that at first the virus left her exhausted.The healthcare workers watching from afar as rich countries begin vaccine rollout \"I had a lot of coughs, fever, fatigue... and dizziness,\" she said. \"And I [am taking a long time to recover] because this disease is very painful [and] horrible.\"But after staying home for a few days as she recovered from the disease, Anna decided to go into work, as she was only receiving partial pay.UK government rules state that while recovering from Covid-19, patients should self-isolate for at least 10 full days. \"I only felt tired and [had] a headache,\" she said. \"That is why I went to work -- I also couldn\\'t afford to stay at home because I received very little salary.\"I feel guilty that I went to work and infected more people, [but] I had no other option.\"An illuminated motorway sign carries the \"Stay At Home\" message, on January 10 in Dunfermline, Scotland.Breaches of self-isolation rules are rampant across the UK. Up to 20,000 people a day are failing to stay home when instructed to, according to Dido Harding, who is in charge of the country\\'s coronavirus Test and Trace scheme. \"These numbers are moving a lot,\" Harding told a parliamentary committee this week, adding that \"circa 20,000 people a day\" were currently not isolating. Harding said she was also concerned about people who were experiencing symptoms but had avoided being tested. For the British government, the lack of compliance is a significant worry.\"My biggest concern is...the people who feel ill but don\\'t come forward for testing at all,\" Harding said. One popular stereotype paints lockdown breakers as young and irreverent people who insist on attending house parties and meeting friends. But experts say the picture is more nuanced. The British public strongly supports lockdown, according to a YouGov poll released in January. Those who are not abiding by the rules often cannot afford to do so.Covid destroyed lives spent together. Now those left behind must say farewell by Zoom\"There\\'s so much emphasis on people not breaking the rules, but the majority are actually following the rules,\" says Muge Cevik, a clinical lecturer in infectious diseases and medical virology at the University of St. Andrews in Scotland.Cevik and her colleagues recently published an article in the British Medical Journal urging the government to offer greater support to people self isolating. Their paper points to a successful test-and-care model in San Francisco, which helped people isolate by ensuring home deliveries of goods, among other measures. A similar scheme in New York, which allowed people to opt to isolate in hotels, is also singled out for praise in the article.\"In the majority of hospitalizations what we\\'re seeing is that the majority of infections are among key workers,\" Cevik told CNN. \"We\\'re seeing huge outbreaks in warehouses, meat-packing plants, care homes ... the only thing that combines these sectors are low-paid workers, likely to live in crowded houses.\"In September 2020, the UK government rolled out a new package to support those in self-isolation. Lower income earners having to stay home may be eligible for a payment of £500 if they face losing pay. The penalty for those breaching lockdowns also increased, with those caught now facing  £1,000 ($1,370) fines.\"This new Test and Trace Support payment of £500 will ensure that those on low incomes are able to self-isolate without worry about their finances,\" the UK government said in a statement in September.But the £500 payment comes with stringent requirements -- to be eligible people need to already receive some form of UK government benefit, such as universal credit, working tax credit or housing benefit. Earlier this week, a study published by the Trades Union Congress found that fewer than 40% of applications for the grant were successful. Harding acknowledged during her committee appearance that lack of financial support was one reason that people failed to isolate. Cevik and her colleagues believe more needs to be done, including offering those in crowded homes the chance to self-isolate in separate accommodation, to curb the virus\\' spread.\"If someone has tested positive, [then] at the time of testing, we could be asking them \\'do you have space to isolate? And do you get sick leave?\\'\" she says.\"These [resources] need to come as a package -- income relief, sick leave [and] accommodation is needed.\"Anna says she would \"of course\" have stayed home if she had been given more support.\"I would have stayed home from the first day,\" she told CNN. \"I felt bad, but ... low-wage workers had no choice.\"A digital display at a bus station warns pedestrians of the new strain of coronavirus in central London on January 8.\"I don\\'t blame people who are desperate, and [make that choice to work],\" says Yaseen Aslam, president of the ACDU, a union representing private hire and courier drivers in Britain.\"I know a driver who had to isolate four times in two months, How does that work?\" Aslam told CNN. \"The problem is, drivers are making at the moment £35 or £50 daily,\" he adds. \"The £500 [payment], yeah that\\'s good but the drivers are desperate.\"And when you\\'re in a desperate situation, you take risks. People are choosing between their life and just being out there.\"Uber, among other companies, has piloted a scheme to help protect drivers and passengers by installing partitions in 400 cars, as suggested by government guidelines. The pilot scheme was done in partnership with motoring assistance group, the AA, across Newcastle, Sunderland and Durham, in northern England. But outside the scheme, drivers must decide whether to pay to install the screens. But one driver,\\xa0who asked not to be named because he feared retribution from his employer,\\xa0said he and his peers were not installing the screens as they simply could not afford to.\"This is a pandemic,\" the man, who says he works as a driver in London, said. \"It\\'s not going to last forever -- why should I put that in if it\\'s not going to last forever?\"Aslam also works with the International Alliance of App-Based Transport Workers, an organization that brings together private hire drivers worldwide.\"I work with drivers in France, Amsterdam, San Francisco [and so on,]\" he said. \"We\\'re seeing these problems across the world. But no one is trying to help us.\"2020 through the eyes of Europe\\'s \\'unseen\\' key workersEarly 2021 has been marked across Europe with an outburst of frustration against lockdowns, with protests being held across Austria, Hungary and the Netherlands. The Dutch demonstrations lasted for a few nights in late January and turned violent. Anti-lockdown protesters have also taken to the streets in the UK, most notably in multiple demonstrations in November 2020. Dozens of people have been arrested during the marches, at which some protesters have shared conspiracy theories about Covid-19.\"If people feel vulnerable, then they will comply with lockdown rules,\" Pamela Briggs, a professor of applied psychology at Northumbria University, told CNN. \"For those who feel less vulnerable, then compliance becomes more of a matter of civic duty.\"If you\\'re going to make sacrifices then you have to believe they\\'ll be effective,\" she adds. \"The problem comes when people can\\'t understand why they are being asked to do these things... if people feel the rules don\\'t make sense, they\\'re more likely to challenge them.\"Briggs believes that people need to believe their sacrifice in staying home is worth the personal cost. The UK\\'s three lockdowns have, to various extents, helped to curb rising cases.\"We could make people feel that their sacrifices are genuinely having an effect,\" Briggs said.\"There are ways to demonstrate the efficacy of lockdown and more should be done.\"One year into the Covid crisis, the UK government continues to use lockdowns as a last resort. Some good news awaits on the horizon -- cases are beginning to drop and the country\\'s vaccine rollout has been widely praised. What officials now face is the challenge of helping people stay home, in the face of overwhelming mental and financial fatigue.', 'entities': [{'entity_name': 'ANNA', 'entity_type': 'PERSON', 'description': 'A 37-year-old Ecuadorean native who cleans an office building in London during the pandemic.', 'importance_score': 0.9}, {'entity_name': 'UK', 'entity_type': 'LOCATION', 'description': 'The United Kingdom, where Anna moved from Spain in 2013 and currently lives.', 'importance_score': 0.8}, {'entity_name': 'LONDON', 'entity_type': 'LOCATION', 'description': 'A city in the UK where Anna works and lives.', 'importance_score': 0.7}, {'entity_name': 'COVID-19', 'entity_type': 'DISEASE', 'description': 'The disease that Anna caught and had to recover from.', 'importance_score': 0.9}, {'entity_name': 'CNN', 'entity_type': 'ORGANIZATION', 'description': 'The news organization that interviewed Anna and reported her story.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'ANNA', 'tgt_id': 'UK', 'description': 'Anna moved to the UK from Spain in 2013.', 'weight': 0.8, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'LONDON', 'description': 'Anna works and lives in London.', 'weight': 0.9, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'COVID-19', 'description': 'Anna caught Covid-19 and had to recover from it.', 'weight': 0.9, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'CNN', 'description': \"Anna's story was reported by CNN.\", 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)\"We\\'re going to win the league,\" sang thousands of Liverpool fans inside Anfield.This is a club that has not won the league title for 30 years and, even with a 13-point lead at the top of the table before Sunday\\'s match against Manchester United, there was a sense the nervous fan base still didn\\'t want to risk jinxing things.But once Mo Salah\\'s late strike secured a 2-0 win over Manchester United, you got the feeling the party to end a three-decade wait for the title had just begun.Even the most pessimistic of Liverpool fans and optimistic of Manchester City fans will probably now admit this season\\'s Premier League title race is over.After Pep Guardiola\\'s side could only muster a disappointing draw against Crystal Palace on Saturday, Jurgen Klopp\\'s Reds have now extended their lead at the top of the table to 16 points.Read MoreWhile the scoreline alone makes this game seem like a somewhat tight affair, it was anything but.Virgil van Dijk rises highest to give Liverpool the lead.READ: Relentless Liverpool on course for record-breaking seasonREAD: Liverpool make best-ever start to a Premier League seasonUnder a brilliant red sky at Anfield, the gulf in quality between these two teams was plain for everyone to see and victory for Liverpool means the club is now 30 points better off than Manchester United this season.After today\\'s match, you were left wondering how it was only 30.Aside from a brief spell on pressure early in the second half, Manchester United had no answer to the relentless red wave that descended time and again on its goal.When Virgil van Dijk opened the scoring for Liverpool after just 14 minutes -- towering above everybody in the box to head home Trent Alexander-Arnold\\'s corner -- the only surprise was that it had taken that long.Curiously, Manchester United is the only team this season to have taken points off Liverpool in the Premier League, holding the champion-elect to a 1-1 draw back in October.Anfield exploded with noise as Liverpool extended its lead to 16 points.As the first half wore on, the visiting side\\'s defense continued to wilt under pressure and Liverpool found VAR to be a far more stubborn opponent than United\\'s backline.Not once, but twice was the home side denied by the video assistant referee; the first for Van Dijk\\'s foul on David de Gea and the second for a fractional offside decision.Liverpool was cruising at half time, though if any particularly jittery fans did need some extra comforting, the Reds hadn\\'t lost a home Premier League game when leading at the interval for 10 years, a run stretching back 102 matches.Two minutes into the second half, Salah had one of the easiest chances he\\'ll ever have to score but somehow fluffed his shot from three yards out wide of the post.It was a let off for Manchester United -- whose players looked to have started the second period half asleep -- and just seconds later some sloppy play at the back gifted the ball to Jordan Henderson, who crashed an effort off the outside of the post.Those missed opportunities seemed to spark life into United and Anthony Martial squandered his side\\'s only real chance of the match, blazing his shot wildly over the bar when it looked easier to score.Mo Salah celebrates after scoring Liverpool\\'s second.With the visiting side throwing all its men forward in search of a later equalizer, Liverpool goalkeeper Alisson hit a stunning pass upfield to find Salah completely unmarked.United winger Daniel James did well to get back but the Egyptian held off his challenge and coolly slotted the ball under De Gea to send Anfield into rapture.\"And now you\\'re gonna believe us,\" the fans continued. \"We\\'re going to win the league.\"', 'entities': [{'entity_name': 'LIVERPOOL', 'entity_type': 'ORGANIZATION', 'description': 'A football club that has not won the league title for 30 years and is currently leading the table with a 16-point advantage.', 'importance_score': 1.0}, {'entity_name': 'MANCHESTER UNITED', 'entity_type': 'ORGANIZATION', 'description': \"A football club that faced Liverpool in a match where they lost 2-0, extending Liverpool's lead in the table.\", 'importance_score': 0.9}, {'entity_name': 'MO SALAH', 'entity_type': 'PERSON', 'description': \"A football player who scored the second goal in Liverpool's 2-0 win over Manchester United.\", 'importance_score': 0.8}, {'entity_name': 'VIRGIL VAN DIJK', 'entity_type': 'PERSON', 'description': \"A football player who scored the first goal in Liverpool's 2-0 win over Manchester United.\", 'importance_score': 0.8}, {'entity_name': 'JURGEN KLOPP', 'entity_type': 'PERSON', 'description': 'The manager of Liverpool football club.', 'importance_score': 0.7}, {'entity_name': 'PEP GUARDIOLA', 'entity_type': 'PERSON', 'description': 'The manager of Manchester City football club.', 'importance_score': 0.7}, {'entity_name': 'ANFIELD', 'entity_type': 'LOCATION', 'description': 'The stadium where the match between Liverpool and Manchester United took place.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'LIVERPOOL', 'tgt_id': 'MANCHESTER UNITED', 'description': 'Liverpool defeated Manchester United 2-0 in a Premier League match.', 'weight': 1.0, 'order': 1}, {'src_id': 'MO SALAH', 'tgt_id': 'LIVERPOOL', 'description': 'Mo Salah scored the second goal for Liverpool in their match against Manchester United.', 'weight': 0.9, 'order': 1}, {'src_id': 'VIRGIL VAN DIJK', 'tgt_id': 'LIVERPOOL', 'description': 'Virgil van Dijk scored the first goal for Liverpool in their match against Manchester United.', 'weight': 0.9, 'order': 1}, {'src_id': 'JURGEN KLOPP', 'tgt_id': 'LIVERPOOL', 'description': 'Jurgen Klopp is the manager of Liverpool football club.', 'weight': 0.8, 'order': 1}, {'src_id': 'PEP GUARDIOLA', 'tgt_id': 'MANCHESTER CITY', 'description': 'Pep Guardiola is the manager of Manchester City football club.', 'weight': 0.8, 'order': 1}, {'src_id': 'ANFIELD', 'tgt_id': 'LIVERPOOL', 'description': 'Anfield is the home stadium of Liverpool football club.', 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)A ban on cellphones in classrooms was announced in the Australian state of Victoria on Wednesday. The ban, which will apply to primary and secondary students, is designed to crack down on cyber-bulling and classroom distractions, the Victorian government said in a statement. While some schools in Australia have already banned cell-phone use, this marks the first statewide ban in the country. It will begin from the first school term of 2020.\"Students will be required to switch off their phones and store them securely in lockers from the start of the school day until the final bell. When emergencies occur, parents or guardians can reach their child by calling the school,\" the statement said.Victoria Education Minister James Merlino said he didn\\'t expect the move to be \"universally popular\" but said it was the \"right thing to do\" on his official social media. Read MoreA report says young people are growing horns on their skulls. Critics don\\'t buy itThe move isn\\'t without precedent. Australia\\'s largest state, New South Wales, banned mobile phones in primary schools in 2018, and France has banned all smart phones and smart devices from schools.Australian Education Minister Dan Tehan said in a statement that he supported the Victoria ban.\"When I talk to parents and teachers the overwhelming majority want action on banning mobile phones in the classroom,\" Tehan said in a statement. In a 2019 survey of about 2,000 Australian adults, by Monash University professor Neil Selywn, almost 80% supported a restriction on cell-phone use in schools, while one-third supported an outright ban.Ann Marie, a secondary school principal at a college in Victoria, told ABC Radio Melbourne that pupils at her school had agreed to restrict their mobile phone use during the day, explaining that they hoped to reduce \"bullying, distraction and one-upmanship.\"But there have been some concerns. The Australian Education Union Victoria said in a statement that while it supports the ban: \"We can\\'t lose sight of the benefits that technology, including mobile phones, can bring to high quality teaching and learning.\"Some pupils with special needs will be exempt from the ban, including those who require telephones to monitor health conditions or those who have received permission from a teacher.  ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering the context and descriptions provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Victoria\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The Australian state where the cellphone ban in classrooms was announced.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"James Merlino\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The Victoria Education Minister who announced the cellphone ban.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"New South Wales\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"Australia\\'s largest state that previously banned mobile phones in primary schools.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"France\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A country that has banned all smart phones and smart devices from schools.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Dan Tehan\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The Australian Education Minister who supported the Victoria ban.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Monash University\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The university where a survey on cell-phone use in schools was conducted.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Neil Selwyn\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professor at Monash University who conducted the survey on cell-phone use in schools.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Ann Marie\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A secondary school principal in Victoria who discussed the impact of the cellphone ban.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Australian Education Union Victoria\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"An organization that supports the cellphone ban but highlights the benefits of technology in education.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"James Merlino\",\\n\\n\"description\": \"James Merlino, the Victoria Education Minister, announced the cellphone ban in Victoria.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"New South Wales\",\\n\\n\"description\": \"The cellphone ban in Victoria follows a similar ban in New South Wales.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"France\",\\n\\n\"description\": \"The cellphone ban in Victoria is similar to a ban in France.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Dan Tehan\",\\n\\n\"description\": \"Dan Tehan, the Australian Education Minister, supported the Victoria ban.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Monash University\",\\n\\n\"description\": \"A survey conducted at Monash University showed support for the Victoria ban.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Neil Selwyn\",\\n\\n\"description\": \"Neil Selwyn, a professor at Monash University, conducted the survey on cell-phone use in schools.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Ann Marie\",\\n\\n\"description\": \"Ann Marie, a secondary school principal in Victoria, discussed the impact of the cellphone ban.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Australian Education Union Victoria\",\\n\\n\"description\": \"The Australian Education Union Victoria supports the cellphone ban but highlights the benefits of technology in education.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': 'Manchester, England (CNN)Boris Johnson wants to keep his Brexit plan private. But the Prime Minister isn\\'t having much luck these days. On Monday night, Irish broadcaster RTE reported what it claimed were details of part of Johnson\\'s plan to break the Brexit deadlock. According to RTE, the UK\\'s plan to avoid post-Brexit infrastructure on the frontier between Northern Ireland and the Republic of Ireland involve \"customs clearance centers\" several miles from the border -- and on both sides of it. The women of Boris Johnson\\'s past are starting to catch up with himThat, it hopes, will remove the need for something called the Irish border backstop from any final Brexit deal. The backstop is an emergency measure which would keep the two Irish nations in regulatory alignment, removing the need for any border or \"clearance centers\" at all. It\\'s deeply unpopular with many in Johnson\\'s Conservative party and is one of the main reasons his predecessor, Theresa May, failed to get her Withdrawal Agreement through Parliament.Ireland quickly dismissed the idea as a \"non starter\". And Johnson himself told the BBC on Tuesday, \"that\\'s not what we\\'re proposing at all... you\\'ll forgive me, I would like to veil our proposals in decent obscurity until we\\'ve been able to share them properly with our friends\". Read MoreSo why is this story a big deal? Keeping the government\\'s formal proposals from Brussels for the time being might be wise. The crunch EU summit, at which any Brexit deal will be struck, is now under three weeks away. JUST WATCHEDBoris Johnson tells opponents to hold no-confidence voteReplayMore Videos ...MUST WATCHBoris Johnson tells opponents to hold no-confidence vote 02:41The EU is a notoriously tough institution to negotiate with and has a history of tearing apart any Brexit proposal from the moment it leaves the door. Johnson has repeatedly said that the only way to make the EU budge on ditching the backstop is to show that he is both deadly serious about getting a deal but also prepared to leave without one. Some of the ideas reported by RTE chime with speculation about the UK government\\'s plans in recent weeks.  And anyone who has followed Brexit for the last three years will tell you, the EU and Ireland will refuse to sign a deal that involves infrastructure between Ireland and Northern Ireland. So, even though the Prime Minister has distanced himself from the proposals, these headlines will have done little to reassure Brussels that Johnson and his government are serious about getting a deal. It\\'s also a bad look for Johnson back home. He is currently out of London and at his Conservative party\\'s annual conference in Manchester, in the north of England. Johnson will close the conference with a keynote speech on Wednesday afternoon. British politics has been taken over by trollsIt\\'s widely thought that he wanted to trail his final Brexit plan during this speech before formally submitting something to Brussels in the subsequent days. The problem with the leak of any Brexit plan now is that it increases the risk of Johnson being greeted by a hostile audience at his conference on Wednesday. Despite being the Brexit hero of 2016, Conservative hard-Brexiteers are deeply worried that Johnson, if he succeeds in getting rid of the backstop, will simply try and push through the rest May\\'s Brexit deal.For Brexiteers, this would be a huge sellout. There are people sitting in Johnson\\'s cabinet who resigned from Theresa May\\'s government to vote against her Brexit deal. And Johnson himself resigned as May\\'s Foreign Secretary over her general approach to Brexit. Up here in Manchester, the mood among party members is generally positive. Johnson has always been a popular Conservative MP and he seems to have broad support for his hard Brexit language. That could turn sour if he\\'s seen to make concessions to Brussels. Which would all be somewhat ironic, for a man who has spent the past few days accusing his opponents of surrendering. ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Boris Johnson\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The Prime Minister of the United Kingdom who is leading the Brexit negotiations.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Brexit\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"The process of the United Kingdom withdrawing from the European Union.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"European Union\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A political and economic union of 27 European countries.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Irish border backstop\",\\n\\n\"entity_type\": \"LAW\",\\n\\n\"description\": \"An emergency measure to keep the two Irish nations in regulatory alignment, removing the need for any border or \\'clearance centers\\'.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Theresa May\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Former Prime Minister of the United Kingdom and predecessor of Boris Johnson.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Conservative party\",\\n\\n\"entity_type\": \"POLITICAL_PARTY\",\\n\\n\"description\": \"The political party in the United Kingdom to which Boris Johnson and Theresa May belong.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"RTE\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"Irish broadcaster that reported details of Johnson\\'s Brexit plan.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Boris Johnson\",\\n\\n\"tgt_id\": \"Brexit\",\\n\\n\"description\": \"Boris Johnson is leading the Brexit negotiations as the Prime Minister of the United Kingdom.\",\\n\\n\"weight\": 1.0,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Brexit\",\\n\\n\"tgt_id\": \"European Union\",\\n\\n\"description\": \"Brexit involves the United Kingdom withdrawing from the European Union.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Boris Johnson\",\\n\\n\"tgt_id\": \"Irish border backstop\",\\n\\n\"description\": \"Boris Johnson aims to remove the Irish border backstop from any final Brexit deal.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Theresa May\",\\n\\n\"tgt_id\": \"Brexit\",\\n\\n\"description\": \"Theresa May failed to get her Withdrawal Agreement through Parliament due to the Irish border backstop.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Boris Johnson\",\\n\\n\"tgt_id\": \"Conservative party\",\\n\\n\"description\": \"Boris Johnson is a member of the Conservative party and its leader.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"RTE\",\\n\\n\"tgt_id\": \"Boris Johnson\",\\n\\n\"description\": \"RTE reported details of part of Johnson\\'s plan to break the Brexit deadlock.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)Across the sports world, athletes took a stand for Black Lives Matter on Wednesday night by holding an unprecedented wildcat strike and refusing to play their regularly scheduled games.The decision started with the NBA\\'s Milwaukee Bucks and stemmed from the police shooting of Jacob Blake in Kenosha, Wisconsin, on Sunday. The stand quickly spread across a number of sports -- from basketball courts in Florida to baseball diamonds in California to soccer fields in places like Miami and Salt Lake City and even into the broadcast booth, where TNT\\'s \"Inside the NBA\" analyst Kenny Smith took off his mic and walked off stage.But the issue is bigger than Jacob Blake or George Floyd or Breonna Taylor. Malcolm Jenkins of the NFL\\'s New Orleans Saints positioned the protests as a response to the systemic racism baked into America, including police violence, cycles of incarceration, and the plunder of generational wealth.\"Until we continue to demand it, until \\'Black Lives Matter\\' goes from just an idea or a goal that we\\'re trying to attain as a society and is actually realized in the streets, we won\\'t see any peace,\" he said. \"And I think we\\'ll continue to see athletes, entertainers as well as citizens disrupt the status quo until that\\'s recognized.\"Here\\'s a look at the teams and athletes who pulled back in order to have their voices be heard.Read MoreNBA Photos: The sports world has been taking a standMembers of the Los Angeles Lakers and the Miami Heat kneel during the National Anthem before Game 1 of the NBA Finals on Wednesday, September 30.Hide Caption 1 of 42 Photos: The sports world has been taking a standThe Philadelphia Eagles and the Washington Football Team stand together before their NFL season opener on September 13.Hide Caption 2 of 42 Photos: The sports world has been taking a standTyler Wright, a two-time World Surf League Champion, takes a knee before competing in an event in Tweed Heads South, Australia, on September 13.Hide Caption 3 of 42 Photos: The sports world has been taking a standTennis star Naomi Osaka wears a face mask with Tamir Rice\\'s name before winning the US Open final on September 12. Osaka wore a different name for each of her seven matches. Rice, a 12-year-old boy, was killed by police gunfire in Cleveland while he was holding a toy replica pistol in 2014.Hide Caption 4 of 42 Photos: The sports world has been taking a standChelsea\\'s Pernille Harder walks out for a warm-up before a soccer match in Leigh, England, on September 6.Hide Caption 5 of 42 Photos: The sports world has been taking a standThe University of Alabama football team, led by coach Nick Saban, marches on campus in support of the Black Lives Matter movement.Hide Caption 6 of 42 Photos: The sports world has been taking a standBlack Lives Matter signage is seen in New York\\'s Louis Armstrong Stadium as Cori Gauff plays against Anastasija Sevastova at the US Open.Hide Caption 7 of 42 Photos: The sports world has been taking a standMembers of the WNBA\\'s Indiana Fever wear Black Lives Matter shirts before their game against the Chicago Sky on August 31.Hide Caption 8 of 42 Photos: The sports world has been taking a standMiami Marlins outfielder Lewis Brinson walks off the field August 27 after placing a Black Lives Matter T-shirt on home plate in New York. The Marlins and New York Mets walked off the field after a moment of silence, choosing not to play their scheduled baseball game. Hide Caption 9 of 42 Photos: The sports world has been taking a standNew Orleans Saints wide receiver Emmanuel Sanders wears Jacob Blake\\'s name on his helmet during a practice on August 27.Hide Caption 10 of 42 Photos: The sports world has been taking a standThe Washington Mystics pay tribute to Jacob Blake after their WNBA game was postponed in Palmetto, Florida, on August 26.Hide Caption 11 of 42 Photos: The sports world has been taking a standA grounds crew covers the field at San Francisco\\'s Oracle Park after a Major League Baseball game was postponed on August 26.Hide Caption 12 of 42 Photos: The sports world has been taking a standThe Milwaukee Bucks make a statement to the media after boycotting a playoff game on August 26.Hide Caption 13 of 42 Photos: The sports world has been taking a standDuring a practice round for the BMW Championship, pro golfer Cameron Champ used his shoes to show his support for Blake and the Black Lives Matter movement.Hide Caption 14 of 42 Photos: The sports world has been taking a standNBA superstar LeBron James has been one of the most outspoken athletes in recent months. \"Having two boys of my own and me being African American in America and to see what continues to happen with the police brutality towards my kind, continue to see what goes on with just the (unjust), it\\'s very troubling. It\\'s very troubling,\" James told Turner Sports\\' Jared Greenberg. \"My prayers go to (the Blake) family, and hopefully we can have some change.\" Hide Caption 15 of 42 Photos: The sports world has been taking a stand\"End racism\" banners are shown in Toronto\\'s Scotiabank Arena before an NHL playoff game on August 26.Hide Caption 16 of 42 Photos: The sports world has been taking a standDoc Rivers, head coach of the NBA\\'s Los Angeles Clippers, became emotional while talking about the Blake shooting and the Republican National Convention. \"All you hear is Donald Trump and all of them talking about fear,\" Rivers said. \"We\\'re the ones getting killed. We\\'re the ones getting shot. We\\'re the ones who were denied to live in certain communities. We\\'ve been hung. We\\'ve been shot.\"Hide Caption 17 of 42 Photos: The sports world has been taking a standDetroit Lions defensive end Trey Flowers addresses the media with his teammates outside their practice facility on August 25. The Lions canceled their practice in light of the Blake shooting, and they discussed the incident in a team meeting that lasted hours. \"We\\'re going to spread our message; we\\'re going to do it as a team,\" Flowers said. \"We understand that somebody\\'s going to try to skew the narrative ... get the message lost, but we\\'re going to stay focused on the topic.\"Hide Caption 18 of 42 Photos: The sports world has been taking a standA Real Salt Lake fan sits in the stands after the Major League Soccer team had its game postponed on August 26.Hide Caption 19 of 42 Photos: The sports world has been taking a standNASCAR driver Bubba Wallace\\xa0tweeted this selfie\\xa0before a Cup Series race in Talladega, Alabama, on June 22. Fellow drivers and pit crew members\\xa0walked alongside Wallace\\'s car\\xa0to show their support for him. Wallace, the only Black driver in NASCAR\\'s top circuit, has been an outspoken advocate of the Black Lives Matter movement. Hide Caption 20 of 42 Photos: The sports world has been taking a standMembers of the NHL\\'s Colorado Avalanche, Vegas Golden Knights, Dallas Stars and Vancouver Canucks gather together after their playoff games were postponed in Edmonton, Alberta.Hide Caption 21 of 42 Photos: The sports world has been taking a standThe Black Lives Matter protests haven\\'t been limited to just North America. Here, professional soccer players from Aston Villa and Sheffield United take a knee as their match kicked off in Birmingham, England, on June 17. Premier League teams sported the words \"Black Lives Matter\" on the back of their jerseys when their seasons resumed.Hide Caption 22 of 42 Photos: The sports world has been taking a standFormula One champion Lewis Hamilton raises his fist before a race in Northampton, England, on August 9.Hide Caption 23 of 42 Photos: The sports world has been taking a standMatt Dumba of the Minnesota Wild\\xa0kneels during the US National Anthem\\xa0as it is played before an NHL game in Edmonton, Alberta, on August 1. Dumba, a member of the Hockey Diversity Alliance, gave a short speech before kneeling. He is circled by members of the Edmonton Oilers and the Chicago Blackhawks, who were about to play on the first day of the NHL\\'s return.Hide Caption 24 of 42 Photos: The sports world has been taking a standSoccer players from PSG and Lyon take a knee before a Champions League semifinal in Bilbao, Spain, on August 26.Hide Caption 25 of 42 Photos: The sports world has been taking a standBeach volleyball player April Ross wears a temporary Black Lives Matter tattoo during a match in Long Beach, California, on July 19.Hide Caption 26 of 42 Photos: The sports world has been taking a standTennis players Dan Evans and Kyle Edmund join match umpire James Keothavong in taking a knee in London on June 28.Hide Caption 27 of 42 Photos: The sports world has been taking a standCricketers with the Kent Spitfires take a knee during a match in Canterbury, England.Hide Caption 28 of 42 Photos: The sports world has been taking a standFormula One driver Kimi Raikkonen wears an \"end racism\" shirt before a race in Barcelona, Spain, on August 16.Hide Caption 29 of 42 Photos: The sports world has been taking a standMembers of the Trinbago Knight Riders kneel before a cricket match in Port of Spain, Trinidad and Tobago.Hide Caption 30 of 42 Photos: The sports world has been taking a standThe Washington Nationals observe a moment of silence before Major League Baseball\\'s opening game on July 23. Their opponents, The New York Yankees, also took a knee, and the initials BLM were on the pitcher\\'s mound for the game.Hide Caption 31 of 42 Photos: The sports world has been taking a standMajor League Soccer players participate in a pregame ceremony before the league\\'s restart on July 8.Hide Caption 32 of 42 Photos: The sports world has been taking a standHouston Dynamo goalkeeper Cody Cropper warms up in a Black Lives Matter T-shirt on August 25.Hide Caption 33 of 42 Photos: The sports world has been taking a standThe Boston Red Sox Foundation put this sign behind Fenway Park\\'s famous \"Green Monster\" outfield wall.Hide Caption 34 of 42 Photos: The sports world has been taking a standRugby players from Bath and Northampton show their support before a game in Northampton, England.Hide Caption 35 of 42 Photos: The sports world has been taking a standKansas City outfielder Jorge Soler catches a ball in front of a George Floyd sign in Minneapolis on August 15.Hide Caption 36 of 42 Photos: The sports world has been taking a standA Houston Dash player wears a Black Lives Matter armband before a NWSL match in Herriman, Utah, on July 17.Hide Caption 37 of 42 Photos: The sports world has been taking a standAfter winning the Champions League, Bayern Munich defender David Alaba wears a shirt that says \"Black Lives Still Matter.\"Hide Caption 38 of 42 Photos: The sports world has been taking a standA Black Lives Matter sign is seen during a Major League Soccer match in Harrison, New Jersey, on August 24.Hide Caption 39 of 42 Photos: The sports world has been taking a standMembers of the San Antonio Spurs huddle before a game against Sacramento on July 31.Hide Caption 40 of 42 Photos: The sports world has been taking a standKilmarnock manager Alex Dyer, second from right, takes a knee before a soccer match in Glasgow, Scotland.Hide Caption 41 of 42 Photos: The sports world has been taking a standMembers of the Orlando Magic and Brooklyn Nets kneel during the National Anthem before the start of an NBA game on July 31.Hide Caption 42 of 42The Milwaukee Bucks did not emerge from their locker room before the scheduled tip at 4 p.m. Wednesday as they decided to refuse to play their playoff game.Soon after, the NBA announced it would postpone Game 5 of three different playoff series -- the Bucks vs. Orlando Magic, Houston Rockets vs. Oklahoma City Thunder and Los Angeles Lakers vs. Portland Trail Blazers.The postponed games have not yet been rescheduled.Three playoff games on Thursday also were postponed but the league said it hoped to resume games Friday or Saturday. Strikes are banned under the NBA\\'s collective bargaining agreement, which means the Bucks players broke their own contract to protest racial injustice and police violence. In a statement issued on Wednesday afternoon, the Bucks players said they are \"calling for justice for Jacob Blake and demand the officers be held accountable. \"Full statement from the Milwaukee Bucks: pic.twitter.com/jjGEyVcCmB— Milwaukee Bucks (@Bucks) August 26, 2020\\n\\n\"The past four months have shed a light on the ongoing racial injustices facing our African American communities. Citizens around the country have used their voices and platforms to speak out against these wrongdoings,\" they said in a statement.\"Despite the overwhelming plea for change, there has been no action, so our focus today cannot be on basketball.\"The Los Angeles Lakers also offered a statement in support of the players\\' decision.\"Eighty percent of NBA players are Black men. We cannot love them for the joy and entertainment that they bring to the world, yet sit in silence and fail to use our platforms and resources to amplify their voices when they demand the justice and equality that America has promised us all, but denied Black people for too long,\" the Lakers said.WNBAElizabeth Williams of the Atlanta Dream said WNBA players were standing in solidarity with \"our brothers in the NBA.\"Representing the six teams slated to play on Wednesday, Atlanta Dream player Elizabeth Williams announced that WNBA players were standing in solidarity with \"our brothers in the NBA\" and also would not play. The ESPN2 broadcast showed players from the six teams scheduled to take the court in locked arms and kneeling while wearing shirts spelling out Jacob Blake\\'s name. The WNBA announced that the three games scheduled for Wednesday evening had been postponed. On Thursday, the league announced the postponement of the day\\'s three scheduled games as well.Instead of playing Thursday, the entire league of WNBA players stood arm-in-arm in solidarity.\"It is important to note that this is not a strike,\" said Women\\'s National Basketball Players Association (WNBPA) president and Los Angeles Sparks star Nneka Ogwumike, reading a statement from the players, to ESPN\\'s Holly Rowe. \"This is not a boycott. This is affirmatively a day of reflection. A day of informed action and mobilization.\"Ogwumike said players plan to play in games that are scheduled for Friday.\"I feel like as a group we decided last night that we want to play,\" Ogwumike said. \"There are games scheduled tomorrow. That\\'s what we\\'re ready to do, but that doesn\\'t come without, of course, demands of players to continue to amplify our voices in more ways than when we came here.\"We realize that the work is not easy, but we also understand that the work is never done. There are things that happen that just allow us times to take a moment -- that\\'s fair; we can take a moment -- and that moment we came together and we decided we need time for ourselves to come back, regroup and continue to amplify our voices, and be there for our communities and demand change from the leaders that are representing us right now.\"MLBThe words \\'Black Lives Matter\\' are displayed on the digital screen after the postponement of the game between the San Francisco Giants and the Los Angeles Dodgers Wednesday.Three MLB games were postponed Wednesday: Cincinnati Reds vs. Milwaukee Brewers, Seattle Mariners vs. San Diego Padres, Los Angeles Dodgers vs. San Francisco Giants.\"With our community and our nation in such pain, we wanted to draw as much attention to the issues that really matter, especially racial injustice and systemic oppression,\" a joint statement from the Brewers and Reds said.\"Given the pain in the communities of Wisconsin and beyond following the shooting of Jacob Blake, we respect the decisions of a number of players not to play tonight,\" a league statement Wednesday said. \"Major League Baseball remains united for change in our society and we will be allies in the fight to end racism and injustice.\"Mets player Dominic Smith, who is Black, was driven to tears on Wednesday, telling reporters after the Mets defeated the Marlins, \"I think the most difficult part is to see people still don\\'t care. And for this to continuously happen it just shows just the hate in people\\'s heart and that just sucks. Being a Black man in America is not easy.\"On Thursday, seven games would not take place: Minnesota Twins vs. Detroit Tigers, Colorado Rockies vs. Arizona Diamondbacks, Baltimore Orioles vs. Tampa Bay Rays, Oakland Athletics vs. Texas Rangers, Philadelphia Phillies vs. Washington Nationals, Boston Red Sox vs. Toronto Blue Jays and Miami Marlins vs. New York Mets.Athletes across US sports take a stand, as games are called off in solidarity with Bucks\\' boycottIn a powerful moment Thursday at Citi Field in New York, the Mets starting defense took the field as scheduled, and then the remaining players for both teams came out of their dugouts and a moment of silence was observed, which the SNY television broadcast said lasted 42 seconds, and then walked off the field.Before he left the field, Miami Marlins player Lewis Brinson laid a \"Black Lives Matter\" shirt at home plate.\"Enough,\" the Marlins tweeted.Enough. pic.twitter.com/25SnNMCfBu— Miami Marlins (@Marlins) August 27, 2020 MLB is scheduled to observe Jackie Robinson Day on Friday to honor the color-barrier-breaking Hall of Famer, who wore number 42.NFLSeveral National Football League teams canceled practice Thursday to focus on conversations about race.The Denver Broncos joined the Arizona Cardinals, Indianapolis Colts, Washington Football Team and New York Jets in forgoing practice to allow players to weigh in on what they can do to effect change.The Chicago Bears said in a statement Thursday that the organization had decided to pause football activities \"to voice to each other, our coaches and our staff where we stand on the real issues around race and police brutality in our country.\"\"We had a productive discussion, but we all agreed that talks and discussions are simply not enough anymore and we need action,\" the statement said. \"We are putting in plans to take action in our communities and together we believe we can make a real difference. We need action not only today, but in the days to come.\"MLSInter Miami midfielder Lee Nguyen exits the field after Inter Miami and Atlanta United players decided not to play.Five Major League Soccer games scheduled to take place on Wednesday night were postponed, the league announced.\"The entire Major League Soccer family unequivocally condemns racism and has always stood for equality, but we need to do more to take tangible steps to impact change,\" MLS said. \"We will continue to work without players, our clubs and the broader soccer community to harness our collective power to fight for equality and social justice.\"TennisTennis superstar Naomi Osaka announced Wednesday that she would not play in the Western & Southern Open semifinals on Thursday. \"Watching the continued genocide of Black people at the hand of the police is honestly making me sick to my stomach,\" she wrote.Later on Wednesday, after Osaka\\'s post, it was announced that the Western & Southern Open would pause tournament play on Thursday, resuming on Friday.By Thursday, a statement by her management team to The Guardian and The New York Times indicated she planned to play Friday instead.\"They offered to postpone all matches until Friday and in my mind that brings more attention to the movement,\" Osaka said. She also thanked the WTA and the tournament for their support.A WTA spokesperson tells CNN that Osaka did not officially withdraw from the Western & Southern Open on Wednesday. She is scheduled to play Elise Mertens in the semifinals on Friday.NHLThe NHL\\'s Stanley Cup Playoffs continued Wednesday with two games. However, the league opted to postpone two games scheduled for Thursday and two scheduled for Friday.\"After much discussion, NHL Players believe that the best course of action would be to take a step back and not play tonight\\'s and tomorrow\\'s games as scheduled,\" a Thursday joint statement from the league and the players association said. \"The NHL supports the Players\\' decision and will reschedule those four games beginning Saturday and adjust the remainder of the Second Round schedule accordingly. \"Black and Brown communities continue to face real, painful experiences. The NHL and NHLPA recognize that much work remains to be done before we can play an appropriate role in a discussion centered on diversity, inclusion and social justice.\"Before the start of Game 3 of the second-round series between the Tampa Bay Lightning and Boston Bruins on Wednesday, there was a moment of reflection for racism in response to the Blake shooting.CNN\\'s Ray Sanchez, Eric Levenson and Cesar Marin contributed to this report.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We will first identify the entities in the text based on the provided entity types. Then, we will determine the relationships between these entities, focusing on the interactions and associations described in the text. Finally, we will format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Milwaukee Bucks\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"An NBA team that initiated the wildcat strike.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Jacob Blake\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A person who was shot by police, leading to the sports world\\'s protest.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Kenosha, Wisconsin\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The location where Jacob Blake was shot by police.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"NBA\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The National Basketball Association, which saw multiple teams participating in the strike.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Los Angeles Lakers\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"An NBA team that supported the strike.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"WNBA\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The Women\\'s National Basketball Association, which also participated in the strike.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Major League Baseball (MLB)\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A professional baseball organization where games were postponed in solidarity.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"National Football League (NFL)\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A professional football league where teams canceled practices to discuss racial issues.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Major League Soccer (MLS)\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A professional soccer league where games were postponed in solidarity.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Naomi Osaka\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A tennis superstar who refused to play in a tournament to protest racial injustice.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"National Hockey League (NHL)\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A professional hockey league where games were postponed in solidarity.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Milwaukee Bucks\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The Milwaukee Bucks initiated a wildcat strike in the NBA.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Milwaukee Bucks\",\\n\\n\"tgt_id\": \"Jacob Blake\",\\n\\n\"description\": \"The Milwaukee Bucks\\' strike was in response to the police shooting of Jacob Blake.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Los Angeles Lakers\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The Los Angeles Lakers supported the strike in the NBA.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"WNBA\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The WNBA stood in solidarity with the NBA during the strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Major League Baseball (MLB)\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The MLB postponed games in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"National Football League (NFL)\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The NFL canceled practices to discuss racial issues in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Major League Soccer (MLS)\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The MLS postponed games in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Naomi Osaka\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"Naomi Osaka refused to play in a tournament in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"National Hockey League (NHL)\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The NHL postponed games in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'Story highlightsRory McIlroy and Luke Donald lead the way after second day in DubaiScotland\\'s 189th ranked Marc Warren also level with leaders on 11-underSergio Garcia equals course record of 64 following round of eight-underSouth African duo Louis Oosthuizen and Branden Grace a shot off the leadRory McIlroy and Luke Donald look set to fight it out for the $8million prize at the World Tour Championship after finishing level at the top of the leaderboard Friday.The pair, who are joined on 11-under by Scotland\\'s world No.189 Marc Warren, are in pole position after another impressive day on the Earth course.World no.1 McIlroy, who revealed that he had been suffering with the extreme heat, looked in top form with tennis ace girlfriend Caroline Wozniacki smiling on from the gallery.Top two dominate in Dubai   \"I didn\\'t feel great last night, but I felt much better this morning and felt nearly 100 % on the golf course,\" McIlroy told reporters.   \"I guess it\\'s just us Irish and the skin just not used to this sort of sun.  That\\'s my excuse anyway.JUST WATCHEDTiger and Rory talk friendly competitionReplayMore Videos ...MUST WATCHTiger and Rory talk friendly competition 01:29JUST WATCHEDExclusive: Tiger and Rory\\'s \\'bromance\\'ReplayMore Videos ...MUST WATCHExclusive: Tiger and Rory\\'s \\'bromance\\' 09:34JUST WATCHEDOchoa: Motherhood has changed meReplayMore Videos ...MUST WATCHOchoa: Motherhood has changed me 06:03   \"I played well. I continued to drive the ball really well and gave myself plenty of opportunities. It was a solid round and obviously, puts me in a good position going into the weekend.   \"I am as motivated as I have been the whole year and I am not going to let it drop just for this week.\"McIlroy clinches money list doubleIt was another successful day for Englishman Donald, who hit a bogey-free round of 68 with two birdies on either half of the course. \"I haven\\'t dropped a shot in 36 holes, so that feels really good,\" he said.\"But it  wasn\\'t quite as good on the greens today...I had some opportunities on a few  holes that I just misread.\"While the world\\'s top two have dominated, the emergence of Warren has come of something of a surprise, not least to the man himself.   \"It was nice to be the Scot in that pack with the Englishman and the  Northern Irishman,\" said Warren, who is ranked 55th in the Race to Dubai.   \"It\\'s great to be in contention with guys like that. I just looked at the  leaderboard and kind of enjoyed it really. \"At the same time, I am just trying to stay patient and keep doing what I am doing. I am really looking forward to the weekend.\"While the top three stole the headlines, it was Spain\\'s Sergio Garcia who carded the round of the day after equalling the course record of eight-under 64.Elsewhere, South African pair Louis Oosthuizen (67) and Branden Grace (65) sit a shot off the lead with Masters champion Charl Schwartzel (67) and Scotsman Richie Ramsay (68) tied for sixth at nine-under par.', 'entities': [{'entity_name': 'RORY MCILROY', 'entity_type': 'PERSON', 'description': 'World no.1 golfer who is leading the tournament in Dubai.', 'importance_score': 1.0}, {'entity_name': 'LUKE DONALD', 'entity_type': 'PERSON', 'description': 'English golfer who is tied with Rory McIlroy at the top of the leaderboard.', 'importance_score': 0.9}, {'entity_name': 'MARC WARREN', 'entity_type': 'PERSON', 'description': \"Scotland's 189th ranked golfer who is also level with the leaders on 11-under.\", 'importance_score': 0.8}, {'entity_name': 'SERGIO GARCIA', 'entity_type': 'PERSON', 'description': 'Spanish golfer who equalled the course record of 64 following a round of eight-under.', 'importance_score': 0.7}, {'entity_name': 'LOUIS OOSTHUIZEN', 'entity_type': 'PERSON', 'description': 'South African golfer who is a shot off the lead.', 'importance_score': 0.6}, {'entity_name': 'BRANDEN GRACE', 'entity_type': 'PERSON', 'description': 'South African golfer who is a shot off the lead.', 'importance_score': 0.6}, {'entity_name': 'CAROLINE WOZNIACKI', 'entity_type': 'PERSON', 'description': 'Tennis ace girlfriend of Rory McIlroy, present in the gallery.', 'importance_score': 0.5}, {'entity_name': 'DUBAI', 'entity_type': 'LOCATION', 'description': 'Location where the golf tournament is taking place.', 'importance_score': 0.9}, {'entity_name': 'WORLD TOUR CHAMPIONSHIP', 'entity_type': 'EVENT', 'description': 'Golf tournament where the players are competing for an $8million prize.', 'importance_score': 1.0}, {'entity_name': '$8MILLION', 'entity_type': 'MONEY', 'description': 'Prize money for the winner of the World Tour Championship.', 'importance_score': 0.8}], 'relationships': [{'src_id': 'RORY MCILROY', 'tgt_id': 'LUKE DONALD', 'description': 'Rory McIlroy and Luke Donald are tied at the top of the leaderboard in the World Tour Championship.', 'weight': 1.0, 'order': 1}, {'src_id': 'RORY MCILROY', 'tgt_id': 'MARC WARREN', 'description': 'Rory McIlroy is tied with Marc Warren at the top of the leaderboard.', 'weight': 0.9, 'order': 1}, {'src_id': 'LUKE DONALD', 'tgt_id': 'MARC WARREN', 'description': 'Luke Donald is tied with Marc Warren at the top of the leaderboard.', 'weight': 0.9, 'order': 1}, {'src_id': 'RORY MCILROY', 'tgt_id': 'SERGIO GARCIA', 'description': 'Rory McIlroy is leading the tournament, while Sergio Garcia equalled the course record.', 'weight': 0.8, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'SERGIO GARCIA', 'description': 'Luke Donald is leading the tournament, while Sergio Garcia equalled the course record.', 'weight': 0.8, 'order': 2}, {'src_id': 'RORY MCILROY', 'tgt_id': 'LOUIS OOSTHUIZEN', 'description': 'Rory McIlroy is leading the tournament, while Louis Oosthuizen is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'LOUIS OOSTHUIZEN', 'description': 'Luke Donald is leading the tournament, while Louis Oosthuizen is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'RORY MCILROY', 'tgt_id': 'BRANDEN GRACE', 'description': 'Rory McIlroy is leading the tournament, while Branden Grace is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'BRANDEN GRACE', 'description': 'Luke Donald is leading the tournament, while Branden Grace is a shot off the lead.', 'weight': 0.7, 'order': 2}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)It\\'s a question that has been asked for 50 years -- again and again.\"Why do these people continue to make a mockery of our culture?\" The question in 1970 was posed by Dennis Banks in reference to the use of Native American heritage being used for names and mascots for American sports teams. Banks was a Native American activist and a longtime leader of the American Indian Movement (AIM).Banks devoted much of his life and attention to campaigning for the team formerly known as the Washington Redskins to change its name.He died in 2017, aged 80, with the team\\'s name still intact.The Washington Football Team changed its name after 50 years of protests.Read MoreThe year 2020 put the issue of race front and center of political and societal debate.The killing of George Floyd also forced many sport teams that utilize Native American heritage to review that association -- be it their name or logo.Washington has changed its logo and is now known as the Washington Football Team. Additionally, the Kansas City Chiefs in the NFL, the Cleveland Indians and Atlanta Braves in the MLB, and the Chicago Blackhawks in the NHL have all looked inwards and made changes.Changes also came in Canada. In July, the Edmonton Eskimos football team announced that the team would retire the \"Eskimos\" name. The Inuit -- Indigenous People of the Canadian Arctic -- often take offense at the term \"Eskimo.\" \"While many fans are deeply committed to keeping the name, others are increasingly uncomfortable with the moniker,\" said the club in an official statement. The club said it had engaged with Inuit communities in recent years to discuss the name and felt now the time was right to change it.The team has retained its recognizable \"EE\" logo, but is yet to choose a new name. For the moment, the club is called the Edmonton Football Team or the EE Football Team. While originally a placeholder name, Washington president Jason Wright said the \"Football Team\" name may remain the team\\'s long-term name.But across the rest of the world, notably in Latin America, there\\'s arguably been less willingness to engage with the idea of what these associations potentially mean for Indigenous communities.In Latin America, it isn\\'t just the sporting world turning its back on Indigenous communities. According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.For Native Americans, the use -- and abuse -- of their images, likenesses and culture in sports is a contemporary form of the marginalization they have historically experienced.The director of First Peoples Worldwide Carla Fredericks told CNN that a lot of the offense caused is due to false representation and outright racism.\"Of course, in the US, Native Americans have endured a really brutal history of colonization, marginalization, and so on,\" she says.\"And one of the kind of end results about that is that Americans really don\\'t have a good grip on who contemporary Native American people are and so the only representative of us is the representation that we see in sport -- for many people. \"And obviously that\\'s troubling because that\\'s a caricatured representation and not an accurate representation of living, breathing cultures.\" The use of indigenous culture in sport is, therefore, an act that reminds Native Americans of their historic oppression at the hands of colonizers.There is also evidence to suggest that caricaturing Indigenous culture in sports causes depression, low self-esteem, substance abuse and even suicide among Native American youth.According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.Fredericks adds that \"the notion of consent and stakeholder engagement\" -- or lack thereof -- is central to the issue too.She says consent is key when considering the acceptability of the use of Indigenous Peoples\\' culture, pointing to the UN Declaration on the Rights of Indigenous Peoples.\"I think the right approach at this point in time is really to seek counsel from those communities and ask them, you know, \\'Where do you stand on this? Is this something that you appreciate? Is it something that is harmful to you?\\'\"The issue has long been the focal point of media and activist attention in the US, particularly over professional sports franchises. But it is not a uniquely American issue, and it is not a social phenomenon that affects just Native Americans. It is a global problem, and one that affects Indigenous people around the world. The story beyond North AmericaThe Exeter Chiefs rugby union team in the UK, the KAA Gent soccer team in Belgium and the Kaizer Chiefs soccer team in South Africa all use a Native American man in headdress as their logos.While teams in the US are reviewing and removing similar logos and names, these teams have each chosen to keep their logo. This is in spite of public pressure in some cases.The logos of soccer teams Kaizer Chiefs in South Africa, KAA Gent in Belgium and rugby team Exeter Chiefs in the UK all have a Native American wearing a headdress.A recent petition, launched by an Exeter fan named Ash Green, asked the Exeter Chiefs to change its \"harmful use of Indigenous Peoples\\' imagery and branding.\" It initially gained 3,700 signatures and the club announced its board would meet to discuss a rebranding. However, that meeting resulted in only the retirement of the team\\'s mascot, \"Big Chief.\" The club released a statement saying that the logo would remain, and that the board took the view that it was \"in fact highly respectful.\"As for the \"Chiefs\" name, the club said that the name \"dated back into the early 1900s and had a long history with people in the Devon area,\" the English county in which Exeter lies.The Exeter Chiefs for Change, a group campaigning for the club to change its name and remove references to Native American culture, released a statement labeling the decision as \"incredibly disappointing,\" and that the club had \"thrown away an opportunity to show itself as an inclusive club.\" \"We accept that the intention of the club for the branding was originally positive and not derogatory,\" they continued. \"But now they know it is not perceived in that way, they are making a conscious decision to be intentionally offensive by continuing to use it.\"The group concluded its statement saying that they were \"horrified\" and that \"the decision will not age well.\"In their statement, the Chiefs said the club will be making no further comment on the matter.Exeter Chiefs rugby team has retired its mascot \"Big Chief\" but will not remove the \"Chiefs\" part of its name. KAA Gent has an extensive section on its website that speaks to the historic oppression and present-day struggle of Native Americans. It also explains the history of the club\\'s logo, and that the cultural context was \"a positive one.\" It says that the club represents \"respect, courage and honor. Values that they attributed to the Native Americans rather than to their White oppressor.\"Despite acknowledging the potential offense that its logo may cause, the club explains that it chooses to retain the logo as it \"draws attention throughout Europe to the social situation facing the Native American population today.\"KAA Gent acknowledge potential offense the team\\'s logo can cause, but said it would remain the club\\'s logo.In addition, the club says through its foundation, it is \"willing to investigate, along with representatives of the Native American population, if and how KAA Gent can organize a social partnership with an initiative in the United States that aims to bring about an improvement in the standard of living experienced by Native Americans, using football as a powerful instrument.\"CNN was told by the club that it reached out to \"some [Native American] organizations/representatives\" via Facebook in 2018 but received no rejection or acceptance of an \"exchange of views.\"The club says if a Native American organization did reach out, representatives \"would listen respectfully and try to establish such a partnership for the future.\"CNN contacted Kaizer Chiefs but did not receive a response at the time of publication.The Latin American storyIn Latin America, there is a case to be made that not only do the clubs not engage with Indigenous communities, but actively ignore scrutiny of practices. Only two of the five Latin American clubs contacted for this story responded to CNN.Guarani people are indigenous to South America, and live in Paraguay, Brazil, Argentina, Uruguay and Bolivia.The Guarani people represent the largest indigenous group in Brazil with a population of 51,000.They are one of the most vulnerable Indigenous groups in the world. In 2013, it was found that Guarani people suffer a murder rate four times higher than the national homicide rate in Brazil, according to the Brazilian non-governmental organization CIMI.Most of their land was taken from them during the twentieth century, and they have an unequaled suicide rate in South America.Guarani people in Brazil are one of the most vulnerable Indigenous groups in the world.In the world of soccer, there are numerous Brazilian teams named after the Guarani people.Second division side Guarani FC last played in the top division in 2010 and won the Serie A title in 1978.In Paraguay, the fourth most successful team is Club Guarani. These two sides represent the best known \"Guarani\" soccer clubs and it is unclear whether the clubs ever obtained the consent of the Guarani people. CNN reached out to both clubs to seek comment but didn\\'t receive a response from either.Guarani FC is based in Campinas, and is named in homage to the opera Il Guarany by Campinas-born composer Carlos Gomes. While the name is born out of an opera, it still marks an appropriation of an Indigenous peoples\\' identity.Fans of Guarani sometimes use an ethnic slur for an Indigenous Brazilian when referring to the club.Guarani FC have been promoted back to the Brazilian Serie A after one season in Serie B. The club came second to Neymar\\'s Santos in the 2012 Campeonato Paulista.There are numerous other examples across the continent where Indigenous culture is used by clubs without affiliation to Indigenous groups.Chapecoense made global headlines after a 2016 plane crash killed the vast majority of players and staff at the club.The club\\'s stadium was formerly known as Estadio Indio Conda. Brazilian football historian and podcaster Matias Pinto says that in Latin America, Indio is often a word regularly utilized as a racial slur that connotes indigenous people. \"In Brazil and other parts of Latin America, it depends how you say it. But when you chant \\'Indio\\' it\\'s derogatory,\" he says.He also adds that the club has no link to native people.\"Conda is an Indigenous leader from the past, so they honor this native hero in the West of Santa Catarina. But the Chapecoense fans are not native. They are mostly European descendants from the 19th century.\"The club\\'s mascot is an indigenous person -- in reality, a person wearing Chapecoense kit alongside a mask of an indigenous person. One can also download a cartoon image of the mascot from the club\\'s website, which is entitled \"Indio.\"Chapecoense was contacted by CNN but did not receive a response at the time of publication.Chapecoense\\'s mascot is an indigenous person.\"They were barbarians, they looked like the Xavantes.\"It isn\\'t just appropriation that can cause problems for Indigenous People, as Fredericks says: \"Unfortunately, because of the nature of sport, not only home team fans might behave in a way that\\'s very disparaging and appropriative. But the opposing team fans might engage in behavior that\\'s very insulting towards people.\"The Xavante are an Indigenous People in Brazil numbering approximately 22,000, according to Povos Indigenas no Brasil. Fans of the football club Gremio Esportivo Brasil, also known as Brasil de Pelotas -- which is based in the south of Brazil -- have been nicknamed Xavantes since 1946. According to an official statement made to CNN by the club, the nickname came about following a 1946 match against its main rivals Esporte Clube Pelotas. Down 3-1 at half time, Brasil de Pelotas came back in the second half to win 5-3. After the final whistle, fans of Brasil de Pelotas destroyed the fence separating the field from the stands and broke onto the field to celebrate.Following the game and the subsequent field invasion, an Esporte Clube Pelotas official gave a statement to the press, saying: \"They were barbarians, they looked like the Xavantes.\"Fans of Brasi de Pelotas, who wear red and black, are known as Xavantes after an official of a rival used it as a slur against them in 1946.The name was soon adopted by Brasil de Pelotas fans with pride and the club says that \"despite the pejorative\" meaning behind the name, it sees the name as \"an honor.\"\"It relates to the bravery of the indigenous tribe with the team. In our history, we have as main characteristics the guts, the fight for every ball and not to give up any play.\"The fans and the club adhered to the nickname and the likeable figure of the Indian, and today we are known in the country as Xavante, the red-black gaucho. And we won\\'t change it.\"Sao Paolo-based Pinto says that it goes further than that: \"It started with a slur but nowadays Brasil de Pelotas fans are very proud [to be] Xavantes,\" as fans perceive themselves similarly to the Xavante people: warlike, brave and tough.\"Pelotas is a city that is facing an exodus,\" he says. \"People are moving to other parts of Brazil. So they have a lot of supporters\\' clubs around Brazil and they always merge the name of the state/city with Xavantes.\"Pinto says that racist slurs against Indigenous People are most common in intercontinental football matches in South America.\"In the continental competitions it happens too. Here in Sao Paulo, we do not have a lot of Indigenous, in Buenos Aires and Montevideo too. In Sao Paulo we are more Black or White, not Indigenous. \"So when a club from Bolivia or Peru or Ecuador [visits], countries in the middle [of the continent] are closer to indigenous traces, the supporters from Brazilian clubs, Argentinian clubs, Uruguayan clubs reference these people as \\'Indios.\\'\"Brazilian president Jair Bolsonaro has actively sought to limit the legal protections of Indigenous People.While racism against Indigenous People through sport continues across the continent, in Brazil Pinto offers that, \"they have more urgent issues [with which] to struggle.\"He speaks with reference to president Jair Bolsonaro and the policies towards Indigenous People during his presidency.\"It was a promise that [Bolsonaro] made in his campaign,\" Pinto says. \"He will not concede any land to the communities, that he will explore the surface for miners, and the environmental minister is very close to the farmers and miners. So the Indigenous, since the first day of this government, are very scared about these promises.\"During the Covid-19 pandemic, Bolsonaro has actively sought to limit protections of Indigenous People as well as devastating indigenous lands while the world is distracted. CNN contacted the Brazilian government but did not receive a response at the time of publication.Positive steps in Latin AmericaChile\\'s most successful club Colo-Colo was founded by a White Chilean footballer but is named after Colocolo, a Mapuche tribal leader during the Arauco War fought against the Spanish colonizers.The club\\'s badge also features the likeness of Colocolo.Colo-Colo\\'s badge depicts its namesake, the Mapuche tribal leader Colocolo. Unlike many other clubs, Colo-Colo has actively engaged with the Indigenous community on which its name is based.In a statement, the club told CNN it believes there are \"essential differences\" from other teams around the globe which \"have a negative or derogatory charge.\"According to Pinto, the club was founded by \"rebels and workers\", so it acts as a symbol of an oppressed people fighting against oppressive powers.The club told CNN that the \"Mapuche identity is present and diluted in the Chilean population in a patent and documented way\" and as such the club has taken steps to recognize that.Colo-Colo flies the Mapuche flag alongside the Chilean flag at its stadium, and signage around the ground is written in both Spanish and Mapuche.The club said it was making efforts \"to seek an understanding and solution of the demands of the Mapuche people,\" along with \"performing ceremonies such as the the Mapuche June Solstice celebration in the stadium together with partners, fans, Mapuche communities and club authorities.\"Tribe members march for indigenous territorial rights on November 11, 2015 in Angra dos Reis, Brazil. Members of the Pataxo and Guarani tribes in Rio de Janeiro state joined the march. Pinto is less optimistic that real change will happen soon. Speaking of indigenous communities in his local Rio state, he said: \"They are very threatened by the Rio state ... they [Indigenous People] march and make demos but the majority of society doesn\\'t give a sh*t.\"There is still a long way to go in Latin America for Indigenous People, let alone their representation in sports.', 'entities': [{'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}, {'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'DENNIS BANKS', 'tgt_id': 'AMERICAN INDIAN MOVEMENT', 'description': 'Dennis Banks was a longtime leader of the American Indian Movement.', 'weight': 0.9, 'order': 1}, {'src_id': 'DENNIS BANKS', 'tgt_id': 'WASHINGTON REDSKINS', 'description': 'Dennis Banks devoted much of his life to campaigning for the team formerly known as the Washington Redskins to change its name.', 'weight': 0.8, 'order': 1}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'WASHINGTON FOOTBALL TEAM', 'description': 'The killing of George Floyd forced the Washington Football Team to review its association with Native American heritage.', 'weight': 0.8, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'KANSAS CITY CHIEFS', 'description': 'The killing of George Floyd forced the Kansas City Chiefs to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CLEVELAND INDIANS', 'description': 'The killing of George Floyd forced the Cleveland Indians to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'ATLANTA BRAVES', 'description': 'The killing of George Floyd forced the Atlanta Braves to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CHICAGO BLACKHAWKS', 'description': 'The killing of George Floyd forced the Chicago Blackhawks to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'EDMONTON ESKIMOS', 'tgt_id': 'EDMONTON FOOTBALL TEAM', 'description': 'The Edmonton Eskimos retired their name and became the Edmonton Football Team.', 'weight': 0.8, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAA GENT', 'description': 'Both Exeter Chiefs and KAA Gent use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both Exeter Chiefs and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'KAA GENT', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both KAA Gent and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'GUARANI FC', 'tgt_id': 'CLUB GUARANI', 'description': 'Both Guarani FC and Club Guarani are named after the Guarani people.', 'weight': 0.7, 'order': 1}, {'src_id': 'CHAPECOENSE', 'tgt_id': 'BRASIL DE PELOTAS', 'description': 'Both Chapecoense and Brasil de Pelotas have associations with indigenous culture.', 'weight': 0.7, 'order': 1}, {'src_id': 'COLO-COLO', 'tgt_id': 'MAPUCHE', 'description': 'Colo-Colo is named after a Mapuche tribal leader and has actively engaged with the Indigenous community.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'})]]} with Mean = 83.66\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 15.645833333333336 / 18  (86.9):  34%|███▍      | 17/50 [00:00<00:00, 6314.49it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 17.745833333333337 / 21  (84.5):  40%|████      | 20/50 [00:45<01:07,  2.24s/it]  INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 20.631547619047623 / 25  (82.5):  48%|████▊     | 24/50 [00:50<00:59,  2.31s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 21.631547619047623 / 26  (83.2):  52%|█████▏    | 26/50 [01:06<01:06,  2.78s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 22.231547619047625 / 27  (82.3):  54%|█████▍    | 27/50 [01:07<01:01,  2.69s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 24.020436507936513 / 29  (82.8):  58%|█████▊    | 29/50 [01:19<01:09,  3.33s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 25.020436507936513 / 30  (83.4):  60%|██████    | 30/50 [01:23<01:09,  3.46s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 25.620436507936514 / 31  (82.6):  62%|██████▏   | 31/50 [01:27<01:04,  3.40s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 29.70376984126985 / 36  (82.5):  72%|███████▏  | 36/50 [01:32<00:23,  1.66s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 30.50376984126985 / 37  (82.4):  74%|███████▍  | 37/50 [01:34<00:22,  1.70s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 31.170436507936518 / 38  (82.0):  76%|███████▌  | 38/50 [01:40<00:31,  2.65s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 40.6139828738513 / 50  (81.2): 100%|██████████| 50/50 [02:59<00:00,  3.58s/it]  \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:43:14.064218Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 40.6139828738513 / 50 (81.2%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UPDATING BEST SCORE WITH 81.23\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/20 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.5714285714285714 / 1  (57.1):   5%|▌         | 1/20 [00:39<12:30, 39.52s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.4047619047619047 / 3  (80.2):  15%|█▌        | 3/20 [00:49<03:24, 12.04s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.4047619047619047 / 4  (85.1):  20%|██        | 4/20 [00:51<02:07,  7.97s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.0476190476190474 / 5  (81.0):  25%|██▌       | 5/20 [00:53<01:29,  5.98s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.0476190476190474 / 6  (84.1):  30%|███       | 6/20 [00:57<01:14,  5.32s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.9226190476190474 / 7  (84.6):  35%|███▌      | 7/20 [01:09<01:35,  7.36s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.622619047619048 / 8  (82.8):  40%|████      | 8/20 [01:16<01:26,  7.19s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 16.62142857142857 / 20  (83.1): 100%|██████████| 20/20 [02:37<00:00,  7.88s/it] \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:45:51.755450Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 16.62142857142857 / 20 (83.1%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 18:45:51,763] Trial 0 finished with value: 83.66 and parameters: {'0_predictor_instruction': 1, '0_predictor_demos': 2}. Best is trial 0 with value: 83.66.\n",
      "INFO:root:Starting trial num: 1\n",
      "INFO:root:instruction_idx 6\n",
      "INFO:root:demos_idx 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text`, identify all entities that match the provided `entity_types`. For each identified entity, provide its `entity_name`, `entity_type`, `description`, and `importance_score`. Then, determine the relationships between these entities, including the `src_id` (source entity), `tgt_id` (target entity), `description` of the relationship, `weight` of the relationship, and `order` of the relationship. Ensure that the relationships are based on interactions and dependencies within the context of the text.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 21.12777777777778 / 25  (84.5): 100%|██████████| 25/25 [00:00<00:00, 5120.00it/s] \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:45:51.882004Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 21.12777777777778 / 25 (84.5%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.9375 / 1  (93.8): 100%|██████████| 1/1 [00:00<00:00, 4905.62it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:45:51.889152Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.9375 / 1 (93.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 18:45:51,893] Trial 1 finished with value: 84.51 and parameters: {'0_predictor_instruction': 6, '0_predictor_demos': 2}. Best is trial 1 with value: 84.51.\n",
      "INFO:root:Starting trial num: 2\n",
      "INFO:root:instruction_idx 8\n",
      "INFO:root:demos_idx 6\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 84.51\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, meticulously identify and extract all entities present in the text that match the provided entity types. Subsequently, determine the relationships between these entities based on their interactions and the context provided. Ensure that the entities and relationships are formatted according to the specified JSON schema, including providing detailed descriptions and importance scores for each entity, as well as defining the source and target IDs, description, weight, and order for each relationship.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.0 / 1  (100.0):   4%|▍         | 1/25 [00:43<17:24, 43.52s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.0 / 2  (100.0):   8%|▊         | 2/25 [00:56<09:41, 25.27s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.0 / 3  (100.0):  12%|█▏        | 3/25 [00:59<05:42, 15.55s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.0 / 4  (100.0):  16%|█▌        | 4/25 [01:01<03:26,  9.82s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.75 / 5  (95.0):  20%|██        | 5/25 [01:03<02:23,  7.20s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.527777777777778 / 6  (92.1):  24%|██▍       | 6/25 [01:05<01:44,  5.52s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.527777777777778 / 7  (93.3):  28%|██▊       | 7/25 [01:09<01:30,  5.05s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.416666666666666 / 8  (92.7):  32%|███▏      | 8/25 [01:15<01:31,  5.37s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.041666666666666 / 10  (90.4):  36%|███▌      | 9/25 [01:17<01:07,  4.21s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 10.041666666666666 / 11  (91.3):  44%|████▍     | 11/25 [01:19<00:37,  2.70s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 11.041666666666666 / 12  (92.0):  48%|████▊     | 12/25 [01:22<00:34,  2.64s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 11.819444444444445 / 13  (90.9):  52%|█████▏    | 13/25 [01:40<01:20,  6.71s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 22.41750208855472 / 25  (89.7): 100%|██████████| 25/25 [03:21<00:00,  8.06s/it] \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:49:13.481676Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 22.41750208855472 / 25 (89.7%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.75 / 1  (75.0): 100%|██████████| 1/1 [00:00<00:00, 1633.93it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:49:13.507498Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.75 / 1 (75.0%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 18:49:13,514] Trial 2 finished with value: 89.67 and parameters: {'0_predictor_instruction': 8, '0_predictor_demos': 6}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 3\n",
      "INFO:root:instruction_idx 4\n",
      "INFO:root:demos_idx 5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 89.67\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, meticulously extract entities and their relationships from the text. First, identify all entities in the text that match the provided entity types, ensuring each entity includes its name, type, a brief description, and an importance score. Next, determine the relationships between these entities by analyzing their interactions and dependencies within the context of the text. Each relationship should include the source entity ID, target entity ID, a description of the relationship, a weight indicating the strength of the relationship, and an order indicating the sequence of the relationship. Finally, format the entities and relationships according to the specified JSON schema, ensuring all fields are correctly populated and validated.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.3714285714285714 / 2  (68.6):   8%|▊         | 2/25 [00:38<06:07, 15.98s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.085714285714286 / 3  (69.5):  12%|█▏        | 3/25 [00:43<04:02, 11.03s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.6571428571428575 / 4  (66.4):  16%|█▌        | 4/25 [00:45<02:35,  7.41s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.823809523809524 / 5  (56.5):  20%|██        | 5/25 [00:46<01:40,  5.05s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.448809523809524 / 6  (57.5):  24%|██▍       | 6/25 [00:47<01:10,  3.69s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.837698412698413 / 7  (54.8):  28%|██▊       | 7/25 [00:51<01:07,  3.76s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.9376984126984125 / 9  (54.9):  36%|███▌      | 9/25 [00:52<00:33,  2.09s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.794841269841269 / 10  (57.9):  40%|████      | 10/25 [00:56<00:39,  2.63s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.169841269841269 / 11  (56.1):  44%|████▍     | 11/25 [00:58<00:32,  2.34s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.769841269841269 / 12  (56.4):  48%|████▊     | 12/25 [01:02<00:39,  3.04s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.3698412698412685 / 13  (56.7):  52%|█████▏    | 13/25 [01:10<00:51,  4.31s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 14.512301587301588 / 25  (58.0): 100%|██████████| 25/25 [02:10<00:00,  5.21s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:51:23.835737Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 14.512301587301588 / 25 (58.0%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.375 / 1  (37.5): 100%|██████████| 1/1 [00:00<00:00, 1968.23it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:51:23.857461Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.375 / 1 (37.5%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 18:51:23,864] Trial 3 finished with value: 58.05 and parameters: {'0_predictor_instruction': 4, '0_predictor_demos': 5}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 4\n",
      "INFO:root:instruction_idx 3\n",
      "INFO:root:demos_idx 8\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 58.05\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide a comprehensive description and assign an importance score. Subsequently, determine the relationships between these entities, considering their interactions and the context provided in the text. Each relationship should include a description and appropriate weight. Ensure that the output is formatted according to the specified JSON schema, listing entities and their relationships in a structured manner.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.6666666666666666 / 1  (66.7):   4%|▍         | 1/25 [00:45<18:15, 45.64s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.5 / 2  (75.0):   8%|▊         | 2/25 [01:02<10:58, 28.63s/it]               INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.1666666666666665 / 4  (79.2):  16%|█▌        | 4/25 [01:07<03:49, 10.94s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.395238095238095 / 6  (73.3):  24%|██▍       | 6/25 [01:10<01:43,  5.46s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.395238095238095 / 7  (77.1):  28%|██▊       | 7/25 [01:11<01:10,  3.90s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.284126984126983 / 8  (78.6):  32%|███▏      | 8/25 [01:19<01:27,  5.13s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.14126984126984 / 9  (79.3):  36%|███▌      | 9/25 [01:22<01:12,  4.54s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.807936507936507 / 10  (78.1):  40%|████      | 10/25 [01:37<01:55,  7.67s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.107936507936508 / 12  (75.9):  48%|████▊     | 12/25 [01:41<01:01,  4.71s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.857936507936508 / 13  (75.8):  52%|█████▏    | 13/25 [01:56<01:34,  7.89s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 20.746971595655804 / 25  (83.0): 100%|██████████| 25/25 [03:20<00:00,  8.03s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:54:44.799055Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 20.746971595655804 / 25 (83.0%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/1 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.625 / 1  (62.5): 100%|██████████| 1/1 [01:34<00:00, 94.34s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:56:19.164784Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.625 / 1 (62.5%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 18:56:19,172] Trial 4 finished with value: 82.99 and parameters: {'0_predictor_instruction': 3, '0_predictor_demos': 8}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 5\n",
      "INFO:root:instruction_idx 2\n",
      "INFO:root:demos_idx 3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 82.99\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, identify and extract all entities within the text that match the specified entity types. After identifying the entities, determine the relationships between these entities based on their interactions and dependencies within the context of the text. Ensure that the extracted entities and relationships are formatted according to the specified JSON schema, including the fields `entity_name`, `entity_type`, `description`, `importance_score` for entities, and `src_id`, `tgt_id`, `description`, `weight`, and `order` for relationships. Provide a detailed step-by-step reasoning process to justify the extraction and relationship determination.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.8 / 1  (80.0):   4%|▍         | 1/25 [00:38<15:12, 38.04s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.35 / 3  (78.3):  12%|█▏        | 3/25 [00:40<03:22,  9.21s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.975 / 4  (74.4):  16%|█▌        | 4/25 [00:42<02:15,  6.45s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.8321428571428573 / 5  (76.6):  20%|██        | 5/25 [00:46<01:54,  5.72s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.689285714285714 / 6  (78.2):  24%|██▍       | 6/25 [00:48<01:23,  4.40s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.189285714285714 / 7  (74.1):  28%|██▊       | 7/25 [00:52<01:13,  4.10s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.564285714285714 / 8  (69.6):  32%|███▏      | 8/25 [00:53<00:56,  3.35s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.314285714285714 / 9  (70.2):  36%|███▌      | 9/25 [00:58<01:01,  3.87s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.605952380952381 / 10  (66.1):  40%|████      | 10/25 [01:01<00:51,  3.42s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 8.036507936507936 / 12  (67.0):  48%|████▊     | 12/25 [01:09<00:44,  3.42s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.036507936507936 / 13  (69.5):  52%|█████▏    | 13/25 [01:18<01:01,  5.13s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 18.777861319966586 / 25  (75.1): 100%|██████████| 25/25 [02:25<00:00,  5.80s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:58:44.347287Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 18.777861319966586 / 25 (75.1%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.375 / 1  (37.5): 100%|██████████| 1/1 [00:00<00:00, 3498.17it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T22:58:44.357714Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.375 / 1 (37.5%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 18:58:44,362] Trial 5 finished with value: 75.11 and parameters: {'0_predictor_instruction': 2, '0_predictor_demos': 3}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 6\n",
      "INFO:root:instruction_idx 9\n",
      "INFO:root:demos_idx 5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 75.11\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, your task is to meticulously extract entities and their relationships from the text. First, identify all entities in the text that match the provided entity types. Then, analyze the context to determine the relationships between these entities, considering their interactions and dependencies within the text. Finally, format the identified entities and their relationships according to the specified JSON schema, ensuring all fields are accurately populated with relevant details such as entity names, types, descriptions, and importance scores for entities, and source IDs, target IDs, descriptions, weights, and orders for relationships.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 9.38531746031746 / 15  (62.6):  56%|█████▌    | 14/25 [00:00<00:00, 4799.76it/s] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 14.809920634920633 / 25  (59.2): 100%|██████████| 25/25 [01:30<00:00,  3.62s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:00:14.877483Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 14.809920634920633 / 25 (59.2%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.375 / 1  (37.5): 100%|██████████| 1/1 [00:00<00:00, 2409.13it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:00:14.890670Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.375 / 1 (37.5%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:00:14,896] Trial 6 finished with value: 59.24 and parameters: {'0_predictor_instruction': 9, '0_predictor_demos': 5}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 7\n",
      "INFO:root:instruction_idx 7\n",
      "INFO:root:demos_idx 4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 59.24\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and `entity_types`, perform the following steps to produce the `entities_relationships`: 1) Identify all entities within the `input_text` that match the specified `entity_types`. 2) For each identified entity, provide a detailed description and an importance score based on its relevance to the text. 3) Determine the relationships between the identified entities, considering their interactions and dependencies within the context of the `input_text`. 4) For each relationship, provide a description, a weight indicating the strength of the relationship, and an order indicating the sequence of interactions. 5) Format the entities and relationships according to the specified JSON schema, ensuring all fields adhere to the required types and structures.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.8 / 1  (80.0):   4%|▍         | 1/25 [00:38<15:12, 38.03s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.55 / 2  (77.5):   8%|▊         | 2/25 [00:39<06:19, 16.49s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.407142857142857 / 3  (80.2):  12%|█▏        | 3/25 [00:49<05:02, 13.73s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.064285714285714 / 5  (81.3):  16%|█▌        | 4/25 [00:55<03:37, 10.37s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.964285714285714 / 7  (85.2):  28%|██▊       | 7/25 [01:02<01:29,  4.99s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.764285714285714 / 8  (84.6):  32%|███▏      | 8/25 [01:07<01:25,  5.01s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.192857142857143 / 9  (79.9):  36%|███▌      | 9/25 [01:08<01:02,  3.93s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.942857142857143 / 10  (79.4):  40%|████      | 10/25 [01:10<00:50,  3.38s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 8.942857142857143 / 11  (81.3):  44%|████▍     | 11/25 [01:19<01:10,  5.01s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.942857142857143 / 12  (82.9):  48%|████▊     | 12/25 [01:24<01:03,  4.90s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 11.742857142857144 / 14  (83.9):  56%|█████▌    | 14/25 [01:50<01:27,  7.99s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 21.279260651629073 / 25  (85.1): 100%|██████████| 25/25 [03:08<00:00,  7.55s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:03:23.605872Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 21.279260651629073 / 25 (85.1%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/1 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.6875 / 1  (68.8): 100%|██████████| 1/1 [01:38<00:00, 98.40s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:05:02.031146Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.6875 / 1 (68.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:05:02,043] Trial 7 finished with value: 85.12 and parameters: {'0_predictor_instruction': 7, '0_predictor_demos': 4}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 8\n",
      "INFO:root:instruction_idx 0\n",
      "INFO:root:demos_idx 7\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 85.12\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.75 / 1  (75.0):   4%|▍         | 1/25 [00:37<14:59, 37.48s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.75 / 3  (91.7):  12%|█▏        | 3/25 [00:57<05:29, 14.98s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.1499999999999995 / 5  (83.0):  20%|██        | 5/25 [01:03<02:27,  7.37s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.816666666666666 / 6  (80.3):  24%|██▍       | 6/25 [01:05<01:41,  5.35s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.616666666666666 / 7  (80.2):  28%|██▊       | 7/25 [01:10<01:34,  5.24s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.305555555555555 / 9  (81.2):  36%|███▌      | 9/25 [01:14<00:54,  3.41s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.597222222222222 / 10  (76.0):  40%|████      | 10/25 [01:23<01:18,  5.21s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 8.48611111111111 / 11  (77.1):  44%|████▍     | 11/25 [01:26<01:02,  4.46s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.48611111111111 / 12  (79.1):  48%|████▊     | 12/25 [01:51<02:20, 10.80s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 10.386111111111111 / 13  (79.9):  52%|█████▏    | 13/25 [01:54<01:39,  8.27s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 21.627777777777776 / 25  (86.5): 100%|██████████| 25/25 [03:02<00:00,  7.28s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:08:04.202943Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 21.627777777777776 / 25 (86.5%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/1 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.6875 / 1  (68.8): 100%|██████████| 1/1 [01:30<00:00, 90.45s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:09:34.668729Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.6875 / 1 (68.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:09:34,677] Trial 8 finished with value: 86.51 and parameters: {'0_predictor_instruction': 0, '0_predictor_demos': 7}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 9\n",
      "INFO:root:instruction_idx 9\n",
      "INFO:root:demos_idx 7\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 86.51\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, your task is to meticulously extract entities and their relationships from the text. First, identify all entities in the text that match the provided entity types. Then, analyze the context to determine the relationships between these entities, considering their interactions and dependencies within the text. Finally, format the identified entities and their relationships according to the specified JSON schema, ensuring all fields are accurately populated with relevant details such as entity names, types, descriptions, and importance scores for entities, and source IDs, target IDs, descriptions, weights, and orders for relationships.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 6.419444444444444 / 8  (80.2):  28%|██▊       | 7/25 [00:00<00:00, 4399.84it/s] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.6194444444444445 / 9  (73.5):  36%|███▌      | 9/25 [00:38<01:08,  4.27s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 8.048015873015874 / 11  (73.2):  40%|████      | 10/25 [00:51<01:22,  5.47s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.923015873015874 / 13  (76.3):  48%|████▊     | 12/25 [00:55<00:58,  4.49s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 20.95108604845447 / 25  (83.8): 100%|██████████| 25/25 [02:06<00:00,  5.06s/it] \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:11:41.290757Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 20.95108604845447 / 25 (83.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.6875 / 1  (68.8): 100%|██████████| 1/1 [00:00<00:00, 3269.14it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:11:41.304268Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.6875 / 1 (68.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:11:41,308] Trial 9 finished with value: 83.8 and parameters: {'0_predictor_instruction': 9, '0_predictor_demos': 7}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 10\n",
      "INFO:root:instruction_idx 5\n",
      "INFO:root:demos_idx 6\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 83.8\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide its `entity_name`, `entity_type`, a concise `description`, and an `importance_score`. Subsequently, determine and list the relationships between these entities, specifying the `src_id` (source entity), `tgt_id` (target entity), a `description` of the relationship, a `weight` indicating the strength of the relationship, and an `order` to indicate the sequence of relationships. Ensure that the relationships are coherent and directly derived from the context provided in the `input_text`.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 10.449248120300751 / 12  (87.1):  44%|████▍     | 11/25 [00:00<00:00, 4796.98it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 11.449248120300751 / 13  (88.1):  52%|█████▏    | 13/25 [00:48<00:44,  3.71s/it]  INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 21.149248120300754 / 25  (84.6): 100%|██████████| 25/25 [02:06<00:00,  5.07s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:13:48.262452Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 21.149248120300754 / 25 (84.6%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.75 / 1  (75.0): 100%|██████████| 1/1 [00:00<00:00, 3833.92it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:13:48.274109Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.75 / 1 (75.0%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 84.6\n",
      "Best Combination: 8,{0: [[], [Example({'input_text': ' (CNN)Roger Federer thinks the professional tennis circuit won\\'t return for a while due to the coronavirus pandemic but, when the time does come, the Swiss superstar said he would find it difficult to play without fans. While European football\\'s Bundesliga resurfaced last week behind closed doors and Spain\\'s La Liga is set to resume the middle of next month, the last official word from tennis authorities essentially saw all action suspended through July. The hiatus began in March, with Federer already sidelined since he was recuperating from knee surgery. Sunday would have marked the first day of the French Open in its usual spot on the tennis calendar -- in March, though, it was rescheduled for September -- and another grand slam, Wimbledon in July, was called off. \"I\\'m not training at the moment because I don\\'t see a reason for that to be honest,\" Federer told three-time French Open champion Gustavo Kuerten -- who is raising funds for coronavirus relief efforts in his native Brazil -- in a video interview reported by Tennis.com.Read More\"I am happy with my body now and I still believe that the return of the tour\\xa0is a long way off,\" continued the 38-year-old. \"And I think it\\'s important\\xa0mentally to enjoy this break, having played so much tennis.\\xa0\"When I\\'m getting towards returning and have a goal to train for, I think I will be super motivated.\"We should be sliding into @rolandgarros right now, thinking of our mates in Paris 👋 pic.twitter.com/0PLKryyIjj— #AusOpen (@AustralianOpen) May 24, 2020 Federer is arguably tennis\\' best supported player ever, and the prospect of competing without spectators doesn\\'t appeal to him. \"Most of the time when we are training, there is no one,\" said the men\\'s record 20-time grand slam champion. \"For us, of course, it is possible to play if there are no fans. But on the other hand, I really hope that the circuit can return as it normally is. \"And hold off till the time is appropriate, minimum\\xa0a third of the stadium or half full. But, for me, completely empty when playing big tournaments is very difficult.\"Federer has been active on social media during the lockdown, sparking a public discussion on the merging of the men\\'s and women\\'s tours with a tweet last month and embarking on a funny Instagram Live with tennis rival Rafael Nadal.Nadal, unlike Federer, has started practicing, though only very recently. The Spaniard would have been favored to win a 20th major and tie Federer had the French Open been played as usual given he has collected a record 12 titles at Roland Garros. Here I am, the first pictures I am posting for you on court. This is my practice earlier today at @rnadalacademy #BackOnCourt #BabolatFamily 🎾👍🏻💪🏻😉 pic.twitter.com/x7tzgLj9pc— Rafa Nadal (@RafaelNadal) May 22, 2020 The next grand slam is scheduled to be late August\\'s US Open in New York, with organizers expected to announce in June if it will go ahead.  ', 'entities': [{'entity_name': 'ROGER FEDERER', 'entity_type': 'PERSON', 'description': \"Swiss tennis superstar who thinks the professional tennis circuit won't return for a while due to the coronavirus pandemic.\", 'importance_score': 1.0}, {'entity_name': 'GUSTAVO KUERTEN', 'entity_type': 'PERSON', 'description': 'Three-time French Open champion who is raising funds for coronavirus relief efforts in his native Brazil.', 'importance_score': 0.8}, {'entity_name': 'RAFAEL NADAL', 'entity_type': 'PERSON', 'description': 'Tennis rival of Roger Federer who has started practicing recently.', 'importance_score': 0.9}, {'entity_name': 'FRENCH OPEN', 'entity_type': 'EVENT', 'description': 'A grand slam tennis tournament that was rescheduled for September.', 'importance_score': 0.7}, {'entity_name': 'WIMBLEDON', 'entity_type': 'EVENT', 'description': 'A grand slam tennis tournament in July that was called off.', 'importance_score': 0.7}, {'entity_name': 'US OPEN', 'entity_type': 'EVENT', 'description': 'A grand slam tennis tournament scheduled for late August in New York.', 'importance_score': 0.7}, {'entity_name': 'ROLAND GARROS', 'entity_type': 'LOCATION', 'description': 'The location where the French Open is usually held.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'ROGER FEDERER', 'tgt_id': 'GUSTAVO KUERTEN', 'description': 'Roger Federer discussed the return of the tennis tour with Gustavo Kuerten in a video interview.', 'weight': 0.8, 'order': 1}, {'src_id': 'ROGER FEDERER', 'tgt_id': 'RAFAEL NADAL', 'description': 'Roger Federer has engaged in social media discussions and a funny Instagram Live with tennis rival Rafael Nadal.', 'weight': 0.9, 'order': 1}, {'src_id': 'ROGER FEDERER', 'tgt_id': 'FRENCH OPEN', 'description': 'Roger Federer mentioned the rescheduling of the French Open in September.', 'weight': 0.7, 'order': 1}, {'src_id': 'ROGER FEDERER', 'tgt_id': 'WIMBLEDON', 'description': 'Roger Federer mentioned the cancellation of Wimbledon.', 'weight': 0.7, 'order': 1}, {'src_id': 'RAFAEL NADAL', 'tgt_id': 'FRENCH OPEN', 'description': 'Rafael Nadal would have been favored to win the French Open if it had been played as usual.', 'weight': 0.8, 'order': 1}, {'src_id': 'RAFAEL NADAL', 'tgt_id': 'US OPEN', 'description': \"Rafael Nadal's practice is in preparation for the upcoming US Open.\", 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)A ban on cellphones in classrooms was announced in the Australian state of Victoria on Wednesday. The ban, which will apply to primary and secondary students, is designed to crack down on cyber-bulling and classroom distractions, the Victorian government said in a statement. While some schools in Australia have already banned cell-phone use, this marks the first statewide ban in the country. It will begin from the first school term of 2020.\"Students will be required to switch off their phones and store them securely in lockers from the start of the school day until the final bell. When emergencies occur, parents or guardians can reach their child by calling the school,\" the statement said.Victoria Education Minister James Merlino said he didn\\'t expect the move to be \"universally popular\" but said it was the \"right thing to do\" on his official social media. Read MoreA report says young people are growing horns on their skulls. Critics don\\'t buy itThe move isn\\'t without precedent. Australia\\'s largest state, New South Wales, banned mobile phones in primary schools in 2018, and France has banned all smart phones and smart devices from schools.Australian Education Minister Dan Tehan said in a statement that he supported the Victoria ban.\"When I talk to parents and teachers the overwhelming majority want action on banning mobile phones in the classroom,\" Tehan said in a statement. In a 2019 survey of about 2,000 Australian adults, by Monash University professor Neil Selywn, almost 80% supported a restriction on cell-phone use in schools, while one-third supported an outright ban.Ann Marie, a secondary school principal at a college in Victoria, told ABC Radio Melbourne that pupils at her school had agreed to restrict their mobile phone use during the day, explaining that they hoped to reduce \"bullying, distraction and one-upmanship.\"But there have been some concerns. The Australian Education Union Victoria said in a statement that while it supports the ban: \"We can\\'t lose sight of the benefits that technology, including mobile phones, can bring to high quality teaching and learning.\"Some pupils with special needs will be exempt from the ban, including those who require telephones to monitor health conditions or those who have received permission from a teacher.  ', 'entities': [{'entity_name': 'VICTORIA', 'entity_type': 'LOCATION', 'description': 'The Australian state of Victoria where the cellphone ban in classrooms was announced.', 'importance_score': 0.9}, {'entity_name': 'JAMES MERLINO', 'entity_type': 'PERSON', 'description': 'Victoria Education Minister who announced the cellphone ban in classrooms.', 'importance_score': 0.8}, {'entity_name': 'NEW SOUTH WALES', 'entity_type': 'LOCATION', 'description': \"Australia's largest state that previously banned mobile phones in primary schools.\", 'importance_score': 0.7}, {'entity_name': 'FRANCE', 'entity_type': 'LOCATION', 'description': 'Country that has banned all smart phones and smart devices from schools.', 'importance_score': 0.6}, {'entity_name': 'DAN TEHAN', 'entity_type': 'PERSON', 'description': 'Australian Education Minister who supported the Victoria ban.', 'importance_score': 0.7}, {'entity_name': 'MONASH UNIVERSITY', 'entity_type': 'ORGANIZATION', 'description': 'University where a survey was conducted about cell-phone use in schools.', 'importance_score': 0.6}, {'entity_name': 'NEIL SELWYN', 'entity_type': 'PERSON', 'description': 'Professor at Monash University who conducted the survey about cell-phone use in schools.', 'importance_score': 0.6}, {'entity_name': 'ANN MARIE', 'entity_type': 'PERSON', 'description': 'Secondary school principal at a college in Victoria who discussed the cellphone ban.', 'importance_score': 0.6}, {'entity_name': 'AUSTRALIAN EDUCATION UNION VICTORIA', 'entity_type': 'ORGANIZATION', 'description': 'Union that supports the cellphone ban but also acknowledges the benefits of technology in teaching.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'JAMES MERLINO', 'tgt_id': 'VICTORIA', 'description': 'James Merlino, the Victoria Education Minister, announced a ban on cellphones in classrooms in the state of Victoria.', 'weight': 0.9, 'order': 1}, {'src_id': 'DAN TEHAN', 'tgt_id': 'VICTORIA', 'description': 'Dan Tehan, the Australian Education Minister, supported the cellphone ban in the state of Victoria.', 'weight': 0.8, 'order': 2}, {'src_id': 'MONASH UNIVERSITY', 'tgt_id': 'NEIL SELWYN', 'description': 'Neil Selwyn, a professor at Monash University, conducted a survey about cell-phone use in schools.', 'weight': 0.7, 'order': 1}, {'src_id': 'ANN MARIE', 'tgt_id': 'VICTORIA', 'description': 'Ann Marie, a secondary school principal in Victoria, discussed the cellphone ban in her school.', 'weight': 0.7, 'order': 1}, {'src_id': 'AUSTRALIAN EDUCATION UNION VICTORIA', 'tgt_id': 'VICTORIA', 'description': 'The Australian Education Union Victoria supports the cellphone ban in the state of Victoria.', 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsF1 drivers threaten to boycott German GP over tire safety Their association expresses grave concerns over events at SilverstoneFive drivers suffered tire failures in British Grand PrixFernando Alonso says they have to place trust in tire manufacturer Pirelli Formula One drivers threatened to boycott the German GP this weekend if the tire problems which blighted the British round at Silverstone are repeated.The Grand Prix Drivers\\' Association (GPDA) issued a statement after a meeting Thursday to \"express their deepest concerns\" over the events Sunday which saw five drivers, including race leader Lewis Hamilton, suffer high speed blow outs.Manufacturer Pirelli promised prompt action after the chaotic scenes and new tires will be used, which feature a Kevlar belt rather than the steel one previously used, apparently offering better protection from punctures.Teams have also been banned from tire swapping and have been told to adhere to limits on tire pressures.Read: Rosberg reigns amid tire chaos JUST WATCHEDItalian \\'passion\\' drives Pirelli growthReplayMore Videos ...MUST WATCHItalian \\'passion\\' drives Pirelli growth 04:05JUST WATCHEDPirelli tires: Ready to rollReplayMore Videos ...MUST WATCHPirelli tires: Ready to roll 03:06JUST WATCHEDBurning rubber on the BhosphorousReplayMore Videos ...MUST WATCHBurning rubber on the Bhosphorous 05:41JUST WATCHEDEngines on, Formula 1 returns!ReplayMore Videos ...MUST WATCHEngines on, Formula 1 returns! 03:58\"We trust that the changes made to the tires will have the desired results and that similar problems will not occur during the German GP weekend,\" said the GPDA. \"We are ready to drive our cars to the limit, as we always do, and as it is expected by our teams, sponsors and fans.\" Aside from Hamilton, who battled back to fourth place behind victorious Mercedes teammate Nico Rosberg, Felipe Massa, Jean-Eric Vergne, Sergio Perez and Esteban Gutierrez were also affected, with four of the drivers suffering the same left rear tire blow out.The stars of the grid said that if similar events manifested themselves at Nurburgring then they would not hesitate to pull out of the race.\"We shall immediately withdraw from the event, as this avoidable problem with the tires endangers again the lives of drivers, marshals and fans,\" ended the statement.Read: Pirelli comes out fighting over tire controversy Earlier, Ferrari ace Fernando Alonso, who narrowly avoided serious injury when debris from Perez\\'s puncture nearly hit him at high speed, said he was keeping his fingers crossed that the problems will be eradicated by the new measures introduced by Pirelli.\"At the moment, we can\\'t make any predictions, because no one has tried them and we don\\'t know what and how many benefits they can bring, apart from trusting in the fact that it won\\'t be dangerous to race, \" he told the official Ferrari website.\"Let\\'s hope that means all drivers can race in safe conditions,\" he added.Alonso, second in the title race, will be hoping the triple defending champion Sebastian Vettel will extend his run of failing to win his home grand prix, despite his incredible success of recent seasons in the Red Bull.The 26-year-old German secured his first podium finish in F1 at the 2009 race but has not improved on that result.\"Surely, it is special,\" he said. \"In terms of championship points, it is the same as every other place, but it is something special to race in front of  your home crowd,\" he told the official F1 website.Friday sees the first practice runs on the famous circuit and the first chance to see if any further tire problems arise after last Sunday\\'s worrying scenes.', 'entities': [{'entity_name': 'LEWIS HAMILTON', 'entity_type': 'PERSON', 'description': 'Race leader who suffered a high-speed blowout during the British Grand Prix.', 'importance_score': 0.9}, {'entity_name': 'NICO ROSBERG', 'entity_type': 'PERSON', 'description': 'Mercedes teammate of Lewis Hamilton who won the British Grand Prix.', 'importance_score': 0.8}, {'entity_name': 'FERNANDO ALONSO', 'entity_type': 'PERSON', 'description': 'Ferrari ace who narrowly avoided serious injury due to tire failure.', 'importance_score': 0.8}, {'entity_name': 'SEBASTIAN VETTEL', 'entity_type': 'PERSON', 'description': 'Triple defending champion who has not won his home grand prix.', 'importance_score': 0.7}, {'entity_name': 'PIRELLI', 'entity_type': 'ORGANIZATION', 'description': 'Tire manufacturer that promised prompt action after the chaotic scenes at the British Grand Prix.', 'importance_score': 0.9}, {'entity_name': \"GRAND PRIX DRIVERS' ASSOCIATION (GPDA)\", 'entity_type': 'ORGANIZATION', 'description': 'Association that issued a statement expressing deepest concerns over tire safety.', 'importance_score': 0.8}, {'entity_name': 'GERMAN GP', 'entity_type': 'EVENT', 'description': 'Upcoming event that Formula One drivers threatened to boycott if tire problems are repeated.', 'importance_score': 0.9}, {'entity_name': 'BRITISH GRAND PRIX', 'entity_type': 'EVENT', 'description': 'Event where five drivers suffered tire failures.', 'importance_score': 0.9}], 'relationships': [{'src_id': 'LEWIS HAMILTON', 'tgt_id': 'PIRELLI', 'description': 'Lewis Hamilton suffered a high-speed blowout using Pirelli tires.', 'weight': 0.9, 'order': 1}, {'src_id': 'NICO ROSBERG', 'tgt_id': 'BRITISH GRAND PRIX', 'description': 'Nico Rosberg won the British Grand Prix.', 'weight': 0.8, 'order': 1}, {'src_id': 'FERNANDO ALONSO', 'tgt_id': 'PIRELLI', 'description': 'Fernando Alonso narrowly avoided serious injury due to Pirelli tire failure.', 'weight': 0.8, 'order': 1}, {'src_id': 'SEBASTIAN VETTEL', 'tgt_id': 'GERMAN GP', 'description': 'Sebastian Vettel has not won his home grand prix, the German GP.', 'weight': 0.7, 'order': 1}, {'src_id': \"GRAND PRIX DRIVERS' ASSOCIATION (GPDA)\", 'tgt_id': 'PIRELLI', 'description': 'The GPDA issued a statement expressing concerns over Pirelli tire safety.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men\\'s elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that\\'s why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it\\'s also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge\\'s world record time two years ago. Bekele catches his breath after this year\\'s Berlin Marathon. Despite expectations that he could challenge Kipchoge\\'s record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night\\'s sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It\\'s a little bit tough for me because the day before also I couldn\\'t sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I\\'ve recovered well ... At this moment, I\\'m really strong. I hope I\\'ll achieve a good result on Sunday.\"For race organizers, who called off last year\\'s New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele\\'s 5,000m world record stood for 16 years before it was broken by Uganda\\'s Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has \\'the qualities of an ascetic monk\\'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya\\'s Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance\\'s two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city\\'s five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It\\'s more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands\\' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women\\'s race is headlined by Kenya\\'s Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA\\'s Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he\\'s grateful to be able to race in New York following the pandemic and last year\\'s cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"', 'entities': [{'entity_name': 'KENENISA BEKELE', 'entity_type': 'PERSON', 'description': 'Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.', 'importance_score': 1.0}, {'entity_name': 'NEW YORK CITY MARATHON', 'entity_type': 'EVENT', 'description': 'Annual marathon race held in New York City, returning after a two-year hiatus due to the pandemic.', 'importance_score': 0.9}, {'entity_name': 'ELIUD KIPCHOGE', 'entity_type': 'PERSON', 'description': 'Marathon world record holder and considered one of the greatest male distance runners of all time.', 'importance_score': 0.8}, {'entity_name': 'BERLIN MARATHON', 'entity_type': 'EVENT', 'description': 'Annual marathon race held in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.', 'importance_score': 0.7}, {'entity_name': 'ADBI NAGEEYE', 'entity_type': 'PERSON', 'description': 'Dutch runner who won the silver medal at the Olympics in Sapporo.', 'importance_score': 0.6}, {'entity_name': 'KIBIWOTT KANDIE', 'entity_type': 'PERSON', 'description': 'Kenyan runner and half marathon world record holder, making his marathon debut.', 'importance_score': 0.6}, {'entity_name': 'PERES JEPCHIRCHIR', 'entity_type': 'PERSON', 'description': \"Kenyan runner and gold medalist at the Olympics, headlining the women's race.\", 'importance_score': 0.6}, {'entity_name': 'MOLLY SEIDEL', 'entity_type': 'PERSON', 'description': \"American runner and Olympic bronze medalist, competing in the women's race.\", 'importance_score': 0.6}, {'entity_name': 'SHALANE FLANAGAN', 'entity_type': 'PERSON', 'description': 'American runner attempting to run six marathons in 42 days, including the New York City Marathon.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'KENENISA BEKELE', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': 'Kenenisa Bekele is competing in the New York City Marathon, aiming to make more history in his storied career.', 'weight': 0.9, 'order': 1}, {'src_id': 'KENENISA BEKELE', 'tgt_id': 'BERLIN MARATHON', 'description': 'Kenenisa Bekele had a disappointing outing six weeks ago at the Berlin Marathon.', 'weight': 0.7, 'order': 1}, {'src_id': 'KENENISA BEKELE', 'tgt_id': 'ELIUD KIPCHOGE', 'description': 'Kenenisa Bekele is often compared to Eliud Kipchoge, another legendary distance runner.', 'weight': 0.8, 'order': 2}, {'src_id': 'NEW YORK CITY MARATHON', 'tgt_id': 'BERLIN MARATHON', 'description': 'Both the New York City Marathon and the Berlin Marathon are significant events in the marathon circuit.', 'weight': 0.7, 'order': 2}, {'src_id': 'ADBI NAGEEYE', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': 'Adbi Nageeye is competing in the New York City Marathon, having won the silver medal at the Olympics.', 'weight': 0.6, 'order': 1}, {'src_id': 'KIBIWOTT KANDIE', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': 'Kibiwott Kandie is making his marathon debut in the New York City Marathon.', 'weight': 0.6, 'order': 1}, {'src_id': 'PERES JEPCHIRCHIR', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': \"Peres Jepchirchir is headlining the women's race in the New York City Marathon.\", 'weight': 0.6, 'order': 1}, {'src_id': 'MOLLY SEIDEL', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': \"Molly Seidel is competing in the women's race of the New York City Marathon.\", 'weight': 0.6, 'order': 1}, {'src_id': 'SHALANE FLANAGAN', 'tgt_id': 'NEW YORK CITY MARATHON', 'description': 'Shalane Flanagan is aiming to complete her challenge of running six marathons in 42 days, with the New York City Marathon being the final one.', 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)A federal jury has awarded $85 million to the family of a California man who died in 2015 after a confrontation with San Diego County sheriff\\'s deputies, court records show.The jury\\'s verdict came in a negligence and wrongful death lawsuit filed by the family of Lucky Phounsy against the county and sheriffs.\"What we asked the jury for is to return a verdict that reflected the truth about his death and that reflected justice for what was taken from this family,\" said Tim Scott, an attorney for the family, according to CNN affiliate KGTV. \"We think that the jury verdict did deliver both truth and justice.\"The San Diego County Sheriff\\'s Department plans to meet with its legal representatives to \"evaluate the verdict further,\" according to a statement.\"As always, our ultimate goal is to provide exceptional law enforcement services in San Diego County,\" the statement said.Read MoreRecently unsealed video shows California man screaming \\'I can\\'t breathe\\' before dying in police custody after 2020 traffic stopOn April 13, 2015, Phounsy, 32, \"began experiencing symptoms of a mental health crisis\" and called 911 \"to report that unknown assailants were trying to harm him,\" according to the complaint filed on behalf of Phounsy\\'s two children, wife, and mother.Sheriff\\'s deputies who responded to the call \"were unnecessarily confrontational, aggressive, and profane,\" the lawsuit claimed. After deputies attempted to handcuff him, \"Lucky became frightened and confused\" before an altercation with one of the deputies, the lawsuit says.Deputies, emergency medical technicians and paramedics used a Taser on Phounsy and hog-tied him, and on the way to the hospital paramedics put a sock over his face, according to the lawsuit. According to an incident summary in court documents, the two responding deputies called for back-up units \"while they were being assaulted and injured by Phounsy.\" Both deputies were injured in the altercation, one of them severely, according to the summary.Phounsy was treated in a local hospital and died a few days later, the complaint said.The federal jury found the deputies used excessive force against Phounsy, weren\\'t trained properly, violated Phounsy\\'s civil rights, and were negligent in their duties -- all of which led to his wrongful death, according to court records.Phounsy\\'s family was awarded $5 million for the pain and suffering he experienced -- $2 million for suffering endured before he was placed into an ambulance, and $3 million for suffering endured before his death -- as well as $80 million for their loss of his love, companionship and more, court records show.CNN\\'s Theresa Waldrop contributed to this report. ', 'entities': [{'entity_name': 'LUCKY PHOUNSY', 'entity_type': 'PERSON', 'description': \"A California man who died in 2015 after a confrontation with San Diego County sheriff's deputies.\", 'importance_score': 1.0}, {'entity_name': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'entity_type': 'ORGANIZATION', 'description': 'The law enforcement agency involved in the confrontation with Lucky Phounsy.', 'importance_score': 0.9}, {'entity_name': 'APRIL 13, 2015', 'entity_type': 'DATE', 'description': 'The date when Lucky Phounsy began experiencing symptoms of a mental health crisis and called 911.', 'importance_score': 0.8}, {'entity_name': '$85 MILLION', 'entity_type': 'MONEY', 'description': \"The amount awarded to Lucky Phounsy's family by the federal jury.\", 'importance_score': 0.9}], 'relationships': [{'src_id': 'LUCKY PHOUNSY', 'tgt_id': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'description': \"Lucky Phounsy had a confrontation with deputies from the San Diego County Sheriff's Department, leading to his death.\", 'weight': 1.0, 'order': 1}, {'src_id': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'tgt_id': 'LUCKY PHOUNSY', 'description': \"The San Diego County Sheriff's Department was found to have used excessive force against Lucky Phounsy.\", 'weight': 0.9, 'order': 1}, {'src_id': 'LUCKY PHOUNSY', 'tgt_id': 'APRIL 13, 2015', 'description': 'Lucky Phounsy began experiencing symptoms of a mental health crisis on April 13, 2015.', 'weight': 0.8, 'order': 1}, {'src_id': 'LUCKY PHOUNSY', 'tgt_id': '$85 MILLION', 'description': \"The federal jury awarded $85 million to Lucky Phounsy's family.\", 'weight': 0.9, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': 'Melbourne, Australia (CNN)After spending part of the off-season training with Mike Tyson, Serena Williams is hoping to deliver a knockout punch at the Australian Open. Follow @cnnsport\\n\\nFor Williams that would mean winning a record-tying 24th grand slam title, which has so far proved elusive despite getting close four times since returning to the tour after giving birth to daughter Alexis Olympia. Her preparation for the year\\'s first major couldn\\'t have gone much better, suggesting the mini grand slam drought for arguably tennis\\' greatest ever player is about to cease. Williams let rip into a punching bag in December -- drawing a compliment from former heavyweight boxing champion Tyson, whose daughter happens to be a budding tennis star -- and then won a buildup tournament in Auckland last week to incredibly land a title in a fourth straight decade. She also mingled with one of tennis\\' youngest sensations, Coco Gauff, as part of the training camp in Florida organized by her coach, Patrick Mouratoglou. JUST WATCHEDMouratoglou on Serena comeback and McEnroeReplayMore Videos ...MUST WATCHMouratoglou on Serena comeback and McEnroe 02:19Read MoreWilliams overcame singles opponents with differing styles, reached the doubles final with one of her best friends -- the soon-to-be retired Caroline Wozniacki -- and most crucially, ended a five-match losing streak in finals with her daughter and husband Alexis Ohanian looking on.  No wonder the 38-year-old said following her straight-set victory over fellow American Jessica Pegula: \"It\\'s pretty satisfying just to get a win in the final. That was really important for me. And I just want to build on it,\" added Williams, who donated her prize money check of $43,000 to bush fire relief efforts in Australia. \"It\\'s just a step towards the next goal.\"Indeed. READ: Can Rafael Nadal match Roger Federer\\'s all-time grand slam record?READ: Player brands Australian Open email a \\'slap in the face\\'Eyes on bigger prizeYes, as nice as it was to be holding the winners\\' trophy in Auckland -- where Williams once hit 88 unforced errors in a loss to Madison Brengle -- she didn\\'t make the long trip to simply prosper in New Zealand. The much bigger prize is the Australian Open, where Williams triumphed while in the early stages of pregnancy in 2017.  If Williams makes the final in Melbourne -- and she might have to defeat the likes of twice grand slam winner Naomi Osaka and current world No. 1 Ashleigh Barty along the way -- she will probably have to then defeat someone with a heftier reputation than the 66th-ranked Pegula. Helping Williams, however, is that one of the main contenders, Bianca Andreescu, isn\\'t in Melbourne because of another injury, this time to a knee. But winning any final -- after losses in grand slam finals to Osaka, Andreescu, Angelique Kerber and Simona Halep and retiring against Andreescu in the Rogers Cup finale last August -- could potentially be turning point as Williams attempts to draw level with the grand slam haul of Australia\\'s Margaret Court. JUST WATCHEDSerena Williams falls short in major title chaseReplayMore Videos ...MUST WATCHSerena Williams falls short in major title chase 01:00\"Serena, she certainly looks hungry, and I think she\\'s got a little momentum going into the Australian Open,\" Chris Evert, the 18-time grand slam champion, told reporters in an ESPN conference call last week. \"And it would probably be the least pressure, this grand slam, to win for her. \"I think every other tournament, the French Open, the clay isn\\'t her best surface. Wimbledon is a lot of pressure, US Open is a lot of pressure. \"This one, the first one of the year, it\\'s a \\'Happy Slam,\\'\" referring to the Australian Open\\'s nickname. \"I think if she just takes a little bit of pressure off herself and she can just play her brand of tennis, I think she\\'s got a good shot at winning it.\"She\\'s better at grand slams than any other player when you look at the last two years.\"The way Wozniacki put it, Williams has a \"big chance\" to match Court. pic.twitter.com/skoZilynH8— Serena Williams (@serenawilliams) January 12, 2020 Other high-profile players, such as Halep and former world No. 1 Karolina Pliskova -- who saved four match points last year in Melbourne against Williams and rallied from 5-1 down in the third set after the American rolled her ankle -- aren\\'t discounting her chances, either, despite just falling short recently at grand slams. \"I\\'m very impressed about her, that she keeps playing at this level, with being a mother and also being a little bit older than us,\" said Halep, who made a mere three unforced errors in downing Williams in the 2019 Wimbledon final. \"It\\'s impressive what she does.\"Challenges aheadBut Evert also underscored the stiffer challenges facing Williams. \"There are some darned good players out there that I have a lot of respect for, and the way that Osaka, Barty, Pliskova, Halep ... there\\'s not one or two threats to Serena, there\\'s probably about eight threats, eight players that can probably do some damage and that can compete against her.\"And one more thing is -- I always felt this way -- the older you get, I think the more bad days you may have, days when you feel burned out, days when you don\\'t want to get out of bed, days when you don\\'t have incentive. You don\\'t want to have that day during a grand slam, but sometimes you can\\'t help it.\"JUST WATCHEDSimona Halep on winning her first Wimbledon titleReplayMore Videos ...MUST WATCHSimona Halep on winning her first Wimbledon title 01:56Visit our tennis page for more news and videosWilliams figures to still be around towards the end of the Australian Open, but whether it is as the last person standing continues to be the question. ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Melbourne\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A city in Australia where the Australian Open is held.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Australia\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The country where Melbourne is located and where the Australian Open takes place.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Serena Williams\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player aiming to win the Australian Open.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Mike Tyson\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A former heavyweight boxing champion who trained with Serena Williams.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Australian Open\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A major tennis tournament held annually in Melbourne, Australia.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Alexis Olympia\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The daughter of Serena Williams.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Caroline Wozniacki\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player and friend of Serena Williams.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Coco Gauff\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A young tennis sensation who trained with Serena Williams.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Patrick Mouratoglou\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The coach of Serena Williams who organized the training camp.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Naomi Osaka\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player and grand slam winner who could face Serena Williams.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Ashleigh Barty\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The current world No. 1 tennis player who could face Serena Williams.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Bianca Andreescu\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player who is a main contender but is not in Melbourne due to injury.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Simona Halep\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player who defeated Serena Williams in the 2019 Wimbledon final.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Chris Evert\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"An 18-time grand slam champion who commented on Serena Williams\\' chances at the Australian Open.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Margaret Court\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"An Australian tennis player with a record-tying 24 grand slam titles.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Jessica Pegula\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A fellow American tennis player who Serena Williams defeated in a match.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Alexis Ohanian\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The husband of Serena Williams.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Karolina Pliskova\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A former world No. 1 tennis player who saved match points against Serena Williams in Melbourne.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Mike Tyson\",\\n\\n\"description\": \"Serena Williams trained with Mike Tyson during the off-season.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Australian Open\",\\n\\n\"description\": \"Serena Williams is aiming to win the Australian Open.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Alexis Olympia\",\\n\\n\"description\": \"Serena Williams is the mother of Alexis Olympia.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Caroline Wozniacki\",\\n\\n\"description\": \"Serena Williams reached the doubles final with Caroline Wozniacki.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Coco Gauff\",\\n\\n\"description\": \"Serena Williams trained with Coco Gauff.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Patrick Mouratoglou\",\\n\\n\"description\": \"Patrick Mouratoglou is the coach of Serena Williams.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Naomi Osaka\",\\n\\n\"description\": \"Serena Williams might have to defeat Naomi Osaka to reach the final of the Australian Open.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Ashleigh Barty\",\\n\\n\"description\": \"Serena Williams might have to defeat Ashleigh Barty to reach the final of the Australian Open.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Bianca Andreescu\",\\n\\n\"description\": \"Bianca Andreescu is a main contender but is not in Melbourne due to injury.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Simona Halep\",\\n\\n\"description\": \"Simona Halep defeated Serena Williams in the 2019 Wimbledon final.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Chris Evert\",\\n\\n\"description\": \"Chris Evert commented on Serena Williams\\' chances at the Australian Open.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Margaret Court\",\\n\\n\"description\": \"Serena Williams is attempting to match Margaret Court\\'s record of 24 grand slam titles.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Jessica Pegula\",\\n\\n\"description\": \"Serena Williams defeated Jessica Pegula in a match.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Alexis Ohanian\",\\n\\n\"description\": \"Alexis Ohanian is the husband of Serena Williams.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Serena Williams\",\\n\\n\"tgt_id\": \"Karolina Pliskova\",\\n\\n\"description\": \"Karolina Pliskova saved match points against Serena Williams in Melbourne.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)Neymar surpassed Ronaldo and moved to second on Brazil\\'s all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.Two penalties and a last-minute tap-in took the Paris Saint-Germain forward\\'s tally to 64 for his country, two ahead of Ronaldo and 13 behind Pele\\'s all-time record of 77.Everton\\'s Richarlison scored Brazil\\'s other goal as the five-time world champion twice had to come from behind to secure the win.Brazil head coach Tite told reporters after the match that it was \"unfair\" to compare Neymar and Ronaldo.\"What I can say is Neymar has this unpredictability,\" he said. \"He is the bow and the arrow, he\\'s a player who both makes and takes chances. And he gets better and better, and more mature.\"Read MoreNeymar celebrates after completing his hat-trick against Peru.The match had a number of controversial VAR moments, particularly the decision to award Neymar a second penalty late in the game with the score tied at 2-2, a decision which surprised even the Brazilian players.Peru\\'s anger was compounded in stoppage time when Carlos Zambrano was shown a red card for an elbow on Richarlison. The Everton forward had escaped punishment for a similar incident earlier in the match that left Peru\\'s Miguel Trauco with a bloody wound above his eye.The latest incidents added to a growing list of decisions that have left South American fans scratching their heads during this international break, the first time VAR has been used in CONMEBOL World Cup qualifiersBrazil\\'s victory ensures it begins the grueling 18-month campaign with a 100% record to top the standings on six points along with Argentina, which secured an impressive 2-1 win in the altitude of La Paz, Bolivia earlier in the day.The top four teams will qualify automatically for Qatar 2022, with the fifth-placed team competing in a two-legged playoff against a country from another continent.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Neymar\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Brazilian footballer who surpassed Ronaldo and moved to second on Brazil\\'s all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Ronaldo\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A former Brazilian footballer who was previously second on Brazil\\'s all-time goalscoring list.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Pele\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A legendary Brazilian footballer who holds the all-time record for Brazil with 77 goals.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Brazil\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A country where the football match took place and where Neymar and Ronaldo are from.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Peru\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The opposing country in the football match against Brazil.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"World Cup\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"An international football competition where the qualifying match between Brazil and Peru took place.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Neymar\",\\n\\n\"tgt_id\": \"Ronaldo\",\\n\\n\"description\": \"Neymar surpassed Ronaldo on Brazil\\'s all-time goalscoring list.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Neymar\",\\n\\n\"tgt_id\": \"Pele\",\\n\\n\"description\": \"Neymar is 13 goals behind Pele\\'s all-time record for Brazil.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Brazil\",\\n\\n\"tgt_id\": \"Peru\",\\n\\n\"description\": \"Brazil won a football match against Peru in World Cup qualifying.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men\\'s elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that\\'s why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it\\'s also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge\\'s world record time two years ago. Bekele catches his breath after this year\\'s Berlin Marathon. Despite expectations that he could challenge Kipchoge\\'s record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night\\'s sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It\\'s a little bit tough for me because the day before also I couldn\\'t sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I\\'ve recovered well ... At this moment, I\\'m really strong. I hope I\\'ll achieve a good result on Sunday.\"For race organizers, who called off last year\\'s New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele\\'s 5,000m world record stood for 16 years before it was broken by Uganda\\'s Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has \\'the qualities of an ascetic monk\\'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya\\'s Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance\\'s two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city\\'s five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It\\'s more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands\\' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women\\'s race is headlined by Kenya\\'s Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA\\'s Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he\\'s grateful to be able to race in New York following the pandemic and last year\\'s cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Kenenisa Bekele\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"New York City Marathon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Annual marathon in New York City, returning after a two-year hiatus due to the pandemic.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Eliud Kipchoge\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Marathon world record holder and dominant runner over the 26.2 miles of a marathon.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Berlin Marathon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Annual marathon in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Guye Adola\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Winner of the Berlin Marathon, finishing more than a minute ahead of Kenenisa Bekele.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Adbi Nageeye\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Dutch runner who won the silver medal at the Olympics in Sapporo and will compete in the New York City Marathon.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Kibiwott Kandie\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Half marathon world record holder from Kenya, making his marathon debut in New York.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Peres Jepchirchir\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Kenyan runner and gold medalist at the Olympics, headlining the women\\'s race in the New York City Marathon.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Molly Seidel\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"American runner and Olympic bronze medalist, competing in the New York City Marathon.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Shalane Flanagan\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"US star attempting to run six marathons in 42 days, including the New York City Marathon.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"New York City Marathon\",\\n\\n\"description\": \"Kenenisa Bekele is primed to compete in the New York City Marathon.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Eliud Kipchoge\",\\n\\n\"description\": \"Kenenisa Bekele aims to make more history in his storied career, comparing himself to Eliud Kipchoge.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Berlin Marathon\",\\n\\n\"description\": \"Kenenisa Bekele had a disappointing outing at the Berlin Marathon six weeks ago.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Guye Adola\",\\n\\n\"description\": \"Kenenisa Bekele finished third in the Berlin Marathon, more than a minute behind winner Guye Adola.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Adbi Nageeye\",\\n\\n\"description\": \"Adbi Nageeye will compete in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Kibiwott Kandie\",\\n\\n\"description\": \"Kibiwott Kandie will make his marathon debut in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Peres Jepchirchir\",\\n\\n\"description\": \"Peres Jepchirchir will headline the women\\'s race in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Molly Seidel\",\\n\\n\"description\": \"Molly Seidel will compete in the New York City Marathon.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Shalane Flanagan\",\\n\\n\"description\": \"Shalane Flanagan will aim to complete her challenge of running six marathons in 42 days in the New York City Marathon.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'Story highlights200 people take to streets of central Paris to protest police violence Alleged rape of 22-year-old man by police in city\\'s suburbs sparked outragePolice report claims rape was accident (CNN)Violent anti-police protests that have swept the suburbs of Paris since early February spread into the French capital\\'s city center on Wednesday night.Two hundred demonstrators gathered in the neighborhood of Barbes, near Paris\\' Gare du Nord train station, protesting against the alleged rape of a 22-year-old black man by police. An investigation into the incident is ongoing.They demanded justice for the victim, identified only as Théo, chanting \"We do not forget we do not forgive.\" Others set trashcans and rubbish alight in the streets. Videos and photos shared on social media showed riot police throwing tear gas canisters at the crowds, which were lobbed back by protesters. Échanges de projectiles avec la police et les manifestants à #Barbes. Situation très tendue. La police vient de charger. pic.twitter.com/flqdC0C68W— Clément Lanot (@ClementLanot) February 15, 2017\\nA spokesperson for the Paris police prefecture confirmed to CNN that officers had fired tear gas to disperse the crowds, adding that one person had been arrested. The local metro station was shuttered during the unrest.  Riot police stand guard in Paris\\' Barbes neighborhood.Read MorePolice suspended, charged JUST WATCHEDFrench protests turn violent over alleged rapeReplayMore Videos ...MUST WATCHFrench protests turn violent over alleged rape 02:30Amid a sea of signs and banners at the Paris protest on Wednesday night, one stood out: \"F*** the police by accident.\" The message, scrawled in black ink on cardboard, hit back at the way authorities have described the incident.Speaking at the National Assembly on Tuesday, French Interior Minister Bruno Le Roux labeled the alleged sexual assault a \"tragic accident.\" He later walked back the comments in a statement on Twitter. According to the Agence France-Presse news agency, an internal police investigation found that the officer who allegedly sodomized Théo with his baton in the February 2 incident did so unintentionally. CNN was unable to obtain a copy of the police report.  A riot policeman holds a tear gas canister at the Paris protest.Weeks of clashes have broken out since four police officers purportedly threw Théo to the ground, beat and raped him, leaving him with injuries so severe he required surgery.Protesters stand in front of burning trash bins.The officers were suspended pending an inquiry into accusations that they used excessive force while arresting the young man during an identity check in the northern Paris suburb of Aulnay-sous-Bois.All four officers involved in the incident have been charged with aggravated assault, while one was also charged with rape, according to the Interior Ministry.', 'entities': [{'entity_name': 'THÉO', 'entity_type': 'PERSON', 'description': \"A 22-year-old black man allegedly raped by police in Paris' suburbs.\", 'importance_score': 0.9}, {'entity_name': 'PARIS', 'entity_type': 'LOCATION', 'description': 'The French capital where protests against police violence took place.', 'importance_score': 0.8}, {'entity_name': 'BARBES', 'entity_type': 'LOCATION', 'description': 'A neighborhood in Paris where 200 demonstrators gathered to protest against the alleged rape of Théo.', 'importance_score': 0.7}, {'entity_name': 'GARE DU NORD', 'entity_type': 'LOCATION', 'description': 'A train station near the Barbes neighborhood in Paris.', 'importance_score': 0.6}, {'entity_name': 'BRUNO LE ROUX', 'entity_type': 'PERSON', 'description': \"French Interior Minister who labeled the alleged sexual assault a 'tragic accident'.\", 'importance_score': 0.7}, {'entity_name': 'AULNAY-SOUS-BOIS', 'entity_type': 'LOCATION', 'description': 'A northern Paris suburb where Théo was allegedly assaulted by police.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'THÉO', 'tgt_id': 'PARIS', 'description': 'Théo, a 22-year-old man, was allegedly raped by police in the suburbs of Paris, sparking protests in the city center.', 'weight': 0.9, 'order': 1}, {'src_id': 'PARIS', 'tgt_id': 'BARBES', 'description': 'Protests against the alleged rape of Théo took place in the Barbes neighborhood of Paris.', 'weight': 0.8, 'order': 1}, {'src_id': 'BARBES', 'tgt_id': 'GARE DU NORD', 'description': \"The Barbes neighborhood is near Paris' Gare du Nord train station.\", 'weight': 0.7, 'order': 2}, {'src_id': 'THÉO', 'tgt_id': 'BRUNO LE ROUX', 'description': 'Bruno Le Roux, the French Interior Minister, commented on the alleged rape of Théo.', 'weight': 0.7, 'order': 2}, {'src_id': 'THÉO', 'tgt_id': 'AULNAY-SOUS-BOIS', 'description': 'Théo was allegedly assaulted by police in the Aulnay-sous-Bois suburb of Paris.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsThe phone was auctioned Sunday by a Maryland auction house and was bought by phone bidderThe \"mobile device of destruction\" was recovered from Nazi leader\\'s bunker by British officer (CNN)Adolf Hitler\\'s telephone was sold at auction in the United States on Sunday for $243,000. The winning bid was made by phone but the name of the bidder has not been released.The phone was presented to Hitler by the Wehrmacht and was used by the Nazi leader to issue most of his commands during the last two years of World War II, according to a description in the catalog for Alexander Historical Auctions in Maryland.The phone was recovered from the Fuhrerbunker in 1945 and has been kept in a box in an English country house ever since. Made by Siemens as a black Bakelite phone, it was later painted red and engraved with Hitler\\'s name and a swastika, the catalog says.The auction house describes the telephone as \"Hitler\\'s mobile device of destruction\" and called it \"arguably the most destructive \\'weapon\\' of all time, which sent millions to their deaths around the world.\"Hitler\\'s name is engraved on the back of the phone, along with an eagle and swastika.Read MoreBritish officer Ralph Rayner recovered the phone from Hitler\\'s bunker while visiting Berlin on the orders of Field Marshall Bernard Montgomery just a few days after the end of the war, according to Rayner\\'s personal account and shipping documents from that time period, according to the auction house. His son Ranulf Rayner, 82, inherited the phone after his father\\'s death in 1977. \"My father didn\\'t see it as a relic of Hitler\\'s glory days, more a battered remnant of his defeat, a sort of war trophy,\" he told CNN. \"He never thought it would become an important artifact.\"Ralph Rayner would have been \"chuffed to bits\" that the phone has had so much attention, his son said.He had hoped the phone would fetch a larger sum, but he is happy to be able to say goodbye to it.\"I certainly won\\'t miss it,\" he told CNN. \"It\\'s a fairly sinister bit of kit and I\\'ve always lived in fear of someone trying to steal it. I\\'ve also been told it\\'ll bring me bad luck.\"Sent to the shattered German capital to establish contact with the Russian forces who had captured the city, Ralph Rayner was probably the very first non-Soviet victor to enter Hitler\\'s bunker.How Hitler\\'s \\'Mein Kampf\\' became a bestseller in 2016\"He could still smell burning flesh,\" Ranulf Rayner said, recalling his father\\'s description of the underground shelter where Hitler spent his final days. In his words, it was a \"dreadful hellhole.\" First offered the black telephone found in the room of Eva Braun, Hitler\\'s bride, Ralph Rayner instead chose the red phone next to Hitler\\'s bed. \"He told the Russians that red was his favorite color,\" Ranulf Rayner said, \"which the Russians rather liked.\"In a letter to his wife Elizabeth on May 18, 1945, Ralph Rayner wrote of the \"utter horror\" he witnessed in Berlin, but did not mention the remarkable souvenir he had in his possession.If British soldiers were caught looting from the Germans, Ranulf Rayner explained, they would face a court martial.Ralph Rayner returned to Devon in western England with both the phone and a porcelain model of an Alsatian, also taken from the bunker, hidden in his suitcase.Ralph Rayner also recovered a porcelain Alsatian from Hitler\\'s bunker.The china dog, made by slave laborers at Dachau concentration camp and probably presented to Hitler by Heinrich Himmler, SS chief and architect of the Final Solution, was also auctioned Sunday. It was bought by a different phone bidder for $24,300.Ranulf Rayner hopes these objects will end up in a museum one day. \"I don\\'t want them to be hidden again,\" he said. \"I want them to remind the world of the horrors of war.\"', 'entities': [{'entity_name': 'ADOLF HITLER', 'entity_type': 'PERSON', 'description': 'Nazi leader whose telephone was auctioned.', 'importance_score': 1.0}, {'entity_name': 'ALEXANDER HISTORICAL AUCTIONS', 'entity_type': 'ORGANIZATION', 'description': \"Maryland auction house that auctioned Adolf Hitler's telephone.\", 'importance_score': 0.8}, {'entity_name': 'FUHRERBUNKER', 'entity_type': 'LOCATION', 'description': \"Underground bunker where Adolf Hitler's telephone was recovered.\", 'importance_score': 0.7}, {'entity_name': 'RALPH RAYNER', 'entity_type': 'PERSON', 'description': \"British officer who recovered Adolf Hitler's telephone from the Fuhrerbunker.\", 'importance_score': 0.9}, {'entity_name': 'RANULF RAYNER', 'entity_type': 'PERSON', 'description': 'Son of Ralph Rayner, who inherited the telephone.', 'importance_score': 0.6}, {'entity_name': 'SIEMENS', 'entity_type': 'ORGANIZATION', 'description': \"Company that manufactured Adolf Hitler's telephone.\", 'importance_score': 0.5}], 'relationships': [{'src_id': 'ADOLF HITLER', 'tgt_id': 'ALEXANDER HISTORICAL AUCTIONS', 'description': \"Adolf Hitler's telephone was auctioned by Alexander Historical Auctions.\", 'weight': 0.9, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'FUHRERBUNKER', 'description': \"Adolf Hitler's telephone was recovered from the Fuhrerbunker.\", 'weight': 0.8, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'RALPH RAYNER', 'description': \"Ralph Rayner recovered Adolf Hitler's telephone from the Fuhrerbunker.\", 'weight': 0.9, 'order': 1}, {'src_id': 'RALPH RAYNER', 'tgt_id': 'RANULF RAYNER', 'description': 'Ranulf Rayner inherited the telephone from his father, Ralph Rayner.', 'weight': 0.7, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'SIEMENS', 'description': \"Adolf Hitler's telephone was manufactured by Siemens.\", 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)Former Bosnian Serb army leader Ratko Mladic was sentenced to life in prison Wednesday after being found guilty of genocide for atrocities committed during the Bosnian war from 1992 to 1995.Verdict proceedings had been interrupted earlier when the 74-year-old\\'s legal team claimed that his blood pressure was too high to continue.After outbursts from Mladic, Judge Alphons Orie, who was delivering a summation of the case, ordered the removal of the ex-general, telling him he could monitor proceedings by audio and video. \"I am very distraught,\" Mladic shouted inside the courtroom. \"Everything that you have said is pure lies. Shame on you. It\\'s all lies.\"Mladic\\'s legal team had asked for proceedings to be halted or for the summation of the case to be skipped, which the Judge refused. Read MoreMladic was charged with two counts of genocide and nine crimes against humanity and war crimes for his role in the conflict in the former Yugoslavia from 1992 to 1995, during which 100,000 people were killed and another 2.2 million displaced. He was found not guilty on one charge of genocide, but received a guilty verdict on each of the other 10 counts. Mladic\\'s lawyer, Dragan Ivetic, said it was \"certain\" Mladic would appeal.\"Butcher of Bosnia\" Ratko Mladic has been found guilty of the highest crimes against international law, says CNN\\'s @camanpour, who covered the Bosnian war https://t.co/4A7DtVjHn8 pic.twitter.com/HdPKU3tqRD— CNN International (@cnni) November 22, 2017The trial, which opened in 2012, took place at the International Criminal Tribunal for the former Yugoslavia in The Hague, Netherlands. The ad hoc court was established to prosecute crimes committed during the Balkans conflict.  Mladic was accused of orchestrating a campaign of ethnic cleansing, including the slaughter of thousands of Muslim men and boys at Srebrenica in July 1995. It is the worst massacre to have taken place in Europe since the Second World War.Mladic judgment brings back stench of Bosnian genocideProsecutor Serge Brammertz told reporters that Mladic will be remembered by history \"for the many communities and lives he destroyed.\"\"Today\\'s judgment is a milestone in the tribunal\\'s history and for international justice,\" he added.The trial of Mladic, who was arrested in 2011, has lasted 530 days and included more than 500 witnesses and nearly 10,000 exhibits. Before the case was adjourned last December, prosecutors recommended a life sentence. Mladic had previously referred to the court as \"satanic\" and labeled the charges against him as \"obnoxious.\"ReactionAt a center for the association of women victims of war in Sarajevo, there was an outpouring of emotion during the judge\\'s summation.There was particular frustration that Mladic was acquitted on one charge of genocide in Bosnian municipalities outside of Srebrenica.Amela Meduseljac (L) and Meliha Mrdzic were unhappy that Mladic was acquitted on one charge.Meliha Mrdzic, who said her father and brother were killed and thrown into the Drina River in Visegrad, told CNN she was left humiliated by the decision.\"The international community made me a victim a second time,\" she said. \"They make it seem like we killed ourselves, raped ourselves, slaughtered ourselves. I feel so hurt, I can\\'t describe it.\"Amela Meduseljac, who said she was raped by Mladic\\'s soldiers at Visegrad, said that victims will struggle to get over the judgment.\"Our mission as a rape survivor association was to stop victims from feeling like victims,\" she said. \"But it\\'s getting worse from year to year and it will get especially worse after this verdict.\"People in Srebrenica celebrate as they watch a live TV broadcast of the trial Wednesday.UN High Commissioner for Human Rights Zeid Ra\\'ad Al Hussein called Mladic the \"epitome of evil\" and labeled his conviction a \"momentous victory for justice.\"  \"Mladic presided over some of the darkest crimes to occur in Europe since World War II, bringing terror, death and destruction to thousands of victims, and sorrow, tragedy and trauma to countless more,\" Zeid said in a statement.\"His conviction is a testament to the courage and determination of those victims and witnesses who never gave up hope that they would see him brought to justice.\"A woman writes in a book inside a traveling monument called \"Prijedor 92\" outside the tribunal in The Hague on Wednesday.In Serbia, the country\\'s president, Aleksandar Vučić, urged his people to look forward to the future.\"Today is not a day for joy, nor for sorrow, but to see what kind of future we want,\" he told reporters. \"We all knew that the judgment would be like that. There is no one who did not know it in advance. My call to all citizens of Serbia is to start looking at the future today. \"Let\\'s think about where and how our children will live. How and in what way will we preserve peace and stability in the region\"In a separate development, Serbia\\'s Minister for Justice Nela Kuburović urged that Mladic be released to undergo medical treatment.Who is Ratko Mladic?The ex-general -- accused of being \"the Butcher of Bosnia\" -- was in command of the Bosnian Serb army that entered the town of Srebrenica in July 1995. In the days that followed, 8,000 Muslim men and boys were systematically slaughtered by troops under his leadership.JUST WATCHEDAmanpour meets the \\'Butcher of Bosnia\\'ReplayMore Videos ...MUST WATCHAmanpour meets the \\'Butcher of Bosnia\\' 04:05The late Bosnia peace negotiator Richard Holbrooke once described Mladic as \"one of those lethal combinations that history thrusts up occasionally -- a charismatic murderer.\"Read: Bosnia\\'s future is tied to justiceMladic faced charges over his actions during the siege of Sarajevo, where his heavily armed forces cut the city off from the outside world. Serb forces pounded the city from higher ground each day, trapping Sarajevo\\'s residents in the valley below. More than 10,000 people, mostly civilians, perished.JUST WATCHEDMarking 20 years since Srebrenica: A survivor\\'s storyReplayMore Videos ...MUST WATCHMarking 20 years since Srebrenica: A survivor\\'s story 04:26After the war ended in 1995, Mladic went on the run before being found 16 years later when police burst into the garden of a small house in northern Serbia.Though he was carrying two handguns, he surrendered without a fight. He was extradited for trial in the Netherlands.Srebrenica massacre: Two decades on, wounds still raw, graves still openIn 2011, a tribunal judge entered pleas of not guilty for Mladic after he refused to cooperate and was forcibly removed from the courtroom at the judge\\'s order.Mladic\\'s judgment day comes more than a year after Bosnian Serb political leader Radovan Karadzic was sentenced to 40 years in prison for his role in the 1990s conflict. Former Serbian President Slobodan Milosevic was arrested in 2001 but died before his trial could be completed.At a news conference following the verdict, Mladic\\'s son Darko said that his father felt sorry for every victim of the conflict. \"General Mladic cannot accept responsibility for things he did not do,\" Darko Mladic said. He argued that what had happened in Srebrenica was \"legitimate.\"Melina Borcak and Lindsay Isaac in Sarajevo contributed to this report.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. We ensure that each entity and relationship is described comprehensively and assigned appropriate importance scores and weights.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Ratko Mladic\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Former Bosnian Serb army leader found guilty of genocide and other crimes during the Bosnian war.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Bosnian war\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Conflict in the former Yugoslavia from 1992 to 1995 involving atrocities and genocide.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Srebrenica\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"Site of the worst massacre in Europe since World War II, where thousands of Muslim men and boys were slaughtered.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"International Criminal Tribunal for the former Yugoslavia\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"Ad hoc court established to prosecute crimes committed during the Balkans conflict.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Sarajevo\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"Capital of Bosnia and Herzegovina, heavily affected by the Bosnian war.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Drina River\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"River in Bosnia and Herzegovina where victims were thrown.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Aleksandar Vučić\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"President of Serbia during the trial of Ratko Mladic.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Radovan Karadzic\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Bosnian Serb political leader sentenced for his role in the 1990s conflict.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Slobodan Milosevic\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Former Serbian President who died before his trial could be completed.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Bosnian war\",\\n\\n\"description\": \"Ratko Mladic was a key figure in the Bosnian war, leading the Bosnian Serb army.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Bosnian war\",\\n\\n\"tgt_id\": \"Srebrenica\",\\n\\n\"description\": \"The Bosnian war included the massacre at Srebrenica.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"International Criminal Tribunal for the former Yugoslavia\",\\n\\n\"description\": \"Ratko Mladic\\'s trial took place at the International Criminal Tribunal for the former Yugoslavia.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Sarajevo\",\\n\\n\"description\": \"Ratko Mladic\\'s forces besieged Sarajevo during the Bosnian war.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Drina River\",\\n\\n\"description\": \"Victims of Ratko Mladic\\'s forces were thrown into the Drina River.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Aleksandar Vučić\",\\n\\n\"tgt_id\": \"Ratko Mladic\",\\n\\n\"description\": \"Aleksandar Vučić, as the President of Serbia, commented on the trial of Ratko Mladic.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Radovan Karadzic\",\\n\\n\"description\": \"Ratko Mladic and Radovan Karadzic were both key figures in the Bosnian Serb leadership during the war.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Ratko Mladic\",\\n\\n\"tgt_id\": \"Slobodan Milosevic\",\\n\\n\"description\": \"Ratko Mladic and Slobodan Milosevic were both involved in the conflicts in the former Yugoslavia.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)Neymar surpassed Ronaldo and moved to second on Brazil\\'s all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.Two penalties and a last-minute tap-in took the Paris Saint-Germain forward\\'s tally to 64 for his country, two ahead of Ronaldo and 13 behind Pele\\'s all-time record of 77.Everton\\'s Richarlison scored Brazil\\'s other goal as the five-time world champion twice had to come from behind to secure the win.Brazil head coach Tite told reporters after the match that it was \"unfair\" to compare Neymar and Ronaldo.\"What I can say is Neymar has this unpredictability,\" he said. \"He is the bow and the arrow, he\\'s a player who both makes and takes chances. And he gets better and better, and more mature.\"Read MoreNeymar celebrates after completing his hat-trick against Peru.The match had a number of controversial VAR moments, particularly the decision to award Neymar a second penalty late in the game with the score tied at 2-2, a decision which surprised even the Brazilian players.Peru\\'s anger was compounded in stoppage time when Carlos Zambrano was shown a red card for an elbow on Richarlison. The Everton forward had escaped punishment for a similar incident earlier in the match that left Peru\\'s Miguel Trauco with a bloody wound above his eye.The latest incidents added to a growing list of decisions that have left South American fans scratching their heads during this international break, the first time VAR has been used in CONMEBOL World Cup qualifiersBrazil\\'s victory ensures it begins the grueling 18-month campaign with a 100% record to top the standings on six points along with Argentina, which secured an impressive 2-1 win in the altitude of La Paz, Bolivia earlier in the day.The top four teams will qualify automatically for Qatar 2022, with the fifth-placed team competing in a two-legged playoff against a country from another continent.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Neymar\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Brazilian footballer who surpassed Ronaldo and moved to second on Brazil\\'s all-time goalscoring list with a hat-trick in a 4-2 win against Peru in World Cup qualifying.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Ronaldo\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A former Brazilian footballer who was previously second on Brazil\\'s all-time goalscoring list.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Pele\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A legendary Brazilian footballer who holds the all-time record for Brazil with 77 goals.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Brazil\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A country where the football match took place and where Neymar and Ronaldo are from.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Peru\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The opposing country in the football match against Brazil.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"World Cup\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"An international football competition where the qualifying match between Brazil and Peru took place.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Neymar\",\\n\\n\"tgt_id\": \"Ronaldo\",\\n\\n\"description\": \"Neymar surpassed Ronaldo on Brazil\\'s all-time goalscoring list.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Neymar\",\\n\\n\"tgt_id\": \"Pele\",\\n\\n\"description\": \"Neymar is 13 goals behind Pele\\'s all-time record for Brazil.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Brazil\",\\n\\n\"tgt_id\": \"Peru\",\\n\\n\"description\": \"Brazil won a football match against Peru in World Cup qualifying.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'Story highlightsMax Verstappen made his F1 debut aged 17Won the 2016 Spanish GP aged 18 in his first race for Red BullMax Verstappen stars in May\\'s edition of The Circuit, which was filmed on location at the Spanish Grand Prix.Barcelona (CNN)Red Bull Racing\\'s Max Verstappen is the youngest man to top a Formula One podium in the history of the sport, having triumphed in his Red Bull debut at last year\\'s Spanish Grand Prix. Follow @cnnsport\\n\\nAll in all, the teenager competed in 14 races before he even got his driving license, negotiating breakneck turns and high-speed chicanes while the rest of us were worrying about zebra crossings. Legal to drive. Born to race! #driverlicense pic.twitter.com/rofgrA9jKp— Max Verstappen (@Max33Verstappen) September 30, 2015\\nBut what was the Dutchman\\'s first ever road car? \"It was a Renault Clio!\" Verstappen told CNN\\'s The Circuit in Barcelona ahead of last weekend\\'s Spanish Grand Prix. \"I couldn\\'t even use it that much because I was not yet 18 and racing for Toro Rosso.\"At first I had a yellow one, and then they swapped it to the gray. I preferred that...\"Read MoreWATCH: The Ice Man reveals his first ever road carJUST WATCHEDA chat with Max VerstappenReplayMore Videos ...MUST WATCHA chat with Max Verstappen 03:08The talented young driver says he might have opted for a Volkswagen Golf had he needed to actually buy a car, with the Renault given as a \"gift.\" But for a man used to exceeding 200 mph, the highway code presents something of a limitation.  In fact, though Verstappen admits plans to buy an Aston Martin DB11 are afoot, he currently uses rather less glamorous mode of transport...\"At the moment I\\'m just driving my scooter,\" says the 19-year-old, who spends his spare time with his parents in Belgium or at home in Monte Carlo. WATCH: Lewis Hamilton reveals his first ever road carAn F1 driver on two wheels? Watch the video above to find out more...', 'entities': [{'entity_name': 'MAX VERSTAPPEN', 'entity_type': 'PERSON', 'description': 'Max Verstappen is a talented young driver who made his F1 debut aged 17 and won the 2016 Spanish GP aged 18 in his first race for Red Bull.', 'importance_score': 1.0}, {'entity_name': 'RED BULL', 'entity_type': 'ORGANIZATION', 'description': 'Red Bull is the racing team for which Max Verstappen made his debut and won the 2016 Spanish GP.', 'importance_score': 0.9}, {'entity_name': 'SPANISH GRAND PRIX', 'entity_type': 'EVENT', 'description': 'The Spanish Grand Prix is a Formula One race where Max Verstappen won his first race for Red Bull.', 'importance_score': 0.8}, {'entity_name': 'BARCELONA', 'entity_type': 'LOCATION', 'description': 'Barcelona is the location where the Spanish Grand Prix took place and where Max Verstappen was interviewed.', 'importance_score': 0.7}, {'entity_name': 'RENAULT CLIO', 'entity_type': 'VEHICLE', 'description': 'Renault Clio is the first road car that Max Verstappen owned.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'MAX VERSTAPPEN', 'tgt_id': 'RED BULL', 'description': 'Max Verstappen made his F1 debut and won the 2016 Spanish GP in his first race for Red Bull.', 'weight': 1.0, 'order': 1}, {'src_id': 'MAX VERSTAPPEN', 'tgt_id': 'SPANISH GRAND PRIX', 'description': 'Max Verstappen won the 2016 Spanish GP in his first race for Red Bull.', 'weight': 1.0, 'order': 1}, {'src_id': 'MAX VERSTAPPEN', 'tgt_id': 'BARCELONA', 'description': 'Max Verstappen was interviewed in Barcelona ahead of the Spanish Grand Prix.', 'weight': 0.8, 'order': 1}, {'src_id': 'MAX VERSTAPPEN', 'tgt_id': 'RENAULT CLIO', 'description': \"Max Verstappen's first road car was a Renault Clio.\", 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)It\\'s a question that has been asked for 50 years -- again and again.\"Why do these people continue to make a mockery of our culture?\" The question in 1970 was posed by Dennis Banks in reference to the use of Native American heritage being used for names and mascots for American sports teams. Banks was a Native American activist and a longtime leader of the American Indian Movement (AIM).Banks devoted much of his life and attention to campaigning for the team formerly known as the Washington Redskins to change its name.He died in 2017, aged 80, with the team\\'s name still intact.The Washington Football Team changed its name after 50 years of protests.Read MoreThe year 2020 put the issue of race front and center of political and societal debate.The killing of George Floyd also forced many sport teams that utilize Native American heritage to review that association -- be it their name or logo.Washington has changed its logo and is now known as the Washington Football Team. Additionally, the Kansas City Chiefs in the NFL, the Cleveland Indians and Atlanta Braves in the MLB, and the Chicago Blackhawks in the NHL have all looked inwards and made changes.Changes also came in Canada. In July, the Edmonton Eskimos football team announced that the team would retire the \"Eskimos\" name. The Inuit -- Indigenous People of the Canadian Arctic -- often take offense at the term \"Eskimo.\" \"While many fans are deeply committed to keeping the name, others are increasingly uncomfortable with the moniker,\" said the club in an official statement. The club said it had engaged with Inuit communities in recent years to discuss the name and felt now the time was right to change it.The team has retained its recognizable \"EE\" logo, but is yet to choose a new name. For the moment, the club is called the Edmonton Football Team or the EE Football Team. While originally a placeholder name, Washington president Jason Wright said the \"Football Team\" name may remain the team\\'s long-term name.But across the rest of the world, notably in Latin America, there\\'s arguably been less willingness to engage with the idea of what these associations potentially mean for Indigenous communities.In Latin America, it isn\\'t just the sporting world turning its back on Indigenous communities. According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.For Native Americans, the use -- and abuse -- of their images, likenesses and culture in sports is a contemporary form of the marginalization they have historically experienced.The director of First Peoples Worldwide Carla Fredericks told CNN that a lot of the offense caused is due to false representation and outright racism.\"Of course, in the US, Native Americans have endured a really brutal history of colonization, marginalization, and so on,\" she says.\"And one of the kind of end results about that is that Americans really don\\'t have a good grip on who contemporary Native American people are and so the only representative of us is the representation that we see in sport -- for many people. \"And obviously that\\'s troubling because that\\'s a caricatured representation and not an accurate representation of living, breathing cultures.\" The use of indigenous culture in sport is, therefore, an act that reminds Native Americans of their historic oppression at the hands of colonizers.There is also evidence to suggest that caricaturing Indigenous culture in sports causes depression, low self-esteem, substance abuse and even suicide among Native American youth.According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.Fredericks adds that \"the notion of consent and stakeholder engagement\" -- or lack thereof -- is central to the issue too.She says consent is key when considering the acceptability of the use of Indigenous Peoples\\' culture, pointing to the UN Declaration on the Rights of Indigenous Peoples.\"I think the right approach at this point in time is really to seek counsel from those communities and ask them, you know, \\'Where do you stand on this? Is this something that you appreciate? Is it something that is harmful to you?\\'\"The issue has long been the focal point of media and activist attention in the US, particularly over professional sports franchises. But it is not a uniquely American issue, and it is not a social phenomenon that affects just Native Americans. It is a global problem, and one that affects Indigenous people around the world. The story beyond North AmericaThe Exeter Chiefs rugby union team in the UK, the KAA Gent soccer team in Belgium and the Kaizer Chiefs soccer team in South Africa all use a Native American man in headdress as their logos.While teams in the US are reviewing and removing similar logos and names, these teams have each chosen to keep their logo. This is in spite of public pressure in some cases.The logos of soccer teams Kaizer Chiefs in South Africa, KAA Gent in Belgium and rugby team Exeter Chiefs in the UK all have a Native American wearing a headdress.A recent petition, launched by an Exeter fan named Ash Green, asked the Exeter Chiefs to change its \"harmful use of Indigenous Peoples\\' imagery and branding.\" It initially gained 3,700 signatures and the club announced its board would meet to discuss a rebranding. However, that meeting resulted in only the retirement of the team\\'s mascot, \"Big Chief.\" The club released a statement saying that the logo would remain, and that the board took the view that it was \"in fact highly respectful.\"As for the \"Chiefs\" name, the club said that the name \"dated back into the early 1900s and had a long history with people in the Devon area,\" the English county in which Exeter lies.The Exeter Chiefs for Change, a group campaigning for the club to change its name and remove references to Native American culture, released a statement labeling the decision as \"incredibly disappointing,\" and that the club had \"thrown away an opportunity to show itself as an inclusive club.\" \"We accept that the intention of the club for the branding was originally positive and not derogatory,\" they continued. \"But now they know it is not perceived in that way, they are making a conscious decision to be intentionally offensive by continuing to use it.\"The group concluded its statement saying that they were \"horrified\" and that \"the decision will not age well.\"In their statement, the Chiefs said the club will be making no further comment on the matter.Exeter Chiefs rugby team has retired its mascot \"Big Chief\" but will not remove the \"Chiefs\" part of its name. KAA Gent has an extensive section on its website that speaks to the historic oppression and present-day struggle of Native Americans. It also explains the history of the club\\'s logo, and that the cultural context was \"a positive one.\" It says that the club represents \"respect, courage and honor. Values that they attributed to the Native Americans rather than to their White oppressor.\"Despite acknowledging the potential offense that its logo may cause, the club explains that it chooses to retain the logo as it \"draws attention throughout Europe to the social situation facing the Native American population today.\"KAA Gent acknowledge potential offense the team\\'s logo can cause, but said it would remain the club\\'s logo.In addition, the club says through its foundation, it is \"willing to investigate, along with representatives of the Native American population, if and how KAA Gent can organize a social partnership with an initiative in the United States that aims to bring about an improvement in the standard of living experienced by Native Americans, using football as a powerful instrument.\"CNN was told by the club that it reached out to \"some [Native American] organizations/representatives\" via Facebook in 2018 but received no rejection or acceptance of an \"exchange of views.\"The club says if a Native American organization did reach out, representatives \"would listen respectfully and try to establish such a partnership for the future.\"CNN contacted Kaizer Chiefs but did not receive a response at the time of publication.The Latin American storyIn Latin America, there is a case to be made that not only do the clubs not engage with Indigenous communities, but actively ignore scrutiny of practices. Only two of the five Latin American clubs contacted for this story responded to CNN.Guarani people are indigenous to South America, and live in Paraguay, Brazil, Argentina, Uruguay and Bolivia.The Guarani people represent the largest indigenous group in Brazil with a population of 51,000.They are one of the most vulnerable Indigenous groups in the world. In 2013, it was found that Guarani people suffer a murder rate four times higher than the national homicide rate in Brazil, according to the Brazilian non-governmental organization CIMI.Most of their land was taken from them during the twentieth century, and they have an unequaled suicide rate in South America.Guarani people in Brazil are one of the most vulnerable Indigenous groups in the world.In the world of soccer, there are numerous Brazilian teams named after the Guarani people.Second division side Guarani FC last played in the top division in 2010 and won the Serie A title in 1978.In Paraguay, the fourth most successful team is Club Guarani. These two sides represent the best known \"Guarani\" soccer clubs and it is unclear whether the clubs ever obtained the consent of the Guarani people. CNN reached out to both clubs to seek comment but didn\\'t receive a response from either.Guarani FC is based in Campinas, and is named in homage to the opera Il Guarany by Campinas-born composer Carlos Gomes. While the name is born out of an opera, it still marks an appropriation of an Indigenous peoples\\' identity.Fans of Guarani sometimes use an ethnic slur for an Indigenous Brazilian when referring to the club.Guarani FC have been promoted back to the Brazilian Serie A after one season in Serie B. The club came second to Neymar\\'s Santos in the 2012 Campeonato Paulista.There are numerous other examples across the continent where Indigenous culture is used by clubs without affiliation to Indigenous groups.Chapecoense made global headlines after a 2016 plane crash killed the vast majority of players and staff at the club.The club\\'s stadium was formerly known as Estadio Indio Conda. Brazilian football historian and podcaster Matias Pinto says that in Latin America, Indio is often a word regularly utilized as a racial slur that connotes indigenous people. \"In Brazil and other parts of Latin America, it depends how you say it. But when you chant \\'Indio\\' it\\'s derogatory,\" he says.He also adds that the club has no link to native people.\"Conda is an Indigenous leader from the past, so they honor this native hero in the West of Santa Catarina. But the Chapecoense fans are not native. They are mostly European descendants from the 19th century.\"The club\\'s mascot is an indigenous person -- in reality, a person wearing Chapecoense kit alongside a mask of an indigenous person. One can also download a cartoon image of the mascot from the club\\'s website, which is entitled \"Indio.\"Chapecoense was contacted by CNN but did not receive a response at the time of publication.Chapecoense\\'s mascot is an indigenous person.\"They were barbarians, they looked like the Xavantes.\"It isn\\'t just appropriation that can cause problems for Indigenous People, as Fredericks says: \"Unfortunately, because of the nature of sport, not only home team fans might behave in a way that\\'s very disparaging and appropriative. But the opposing team fans might engage in behavior that\\'s very insulting towards people.\"The Xavante are an Indigenous People in Brazil numbering approximately 22,000, according to Povos Indigenas no Brasil. Fans of the football club Gremio Esportivo Brasil, also known as Brasil de Pelotas -- which is based in the south of Brazil -- have been nicknamed Xavantes since 1946. According to an official statement made to CNN by the club, the nickname came about following a 1946 match against its main rivals Esporte Clube Pelotas. Down 3-1 at half time, Brasil de Pelotas came back in the second half to win 5-3. After the final whistle, fans of Brasil de Pelotas destroyed the fence separating the field from the stands and broke onto the field to celebrate.Following the game and the subsequent field invasion, an Esporte Clube Pelotas official gave a statement to the press, saying: \"They were barbarians, they looked like the Xavantes.\"Fans of Brasi de Pelotas, who wear red and black, are known as Xavantes after an official of a rival used it as a slur against them in 1946.The name was soon adopted by Brasil de Pelotas fans with pride and the club says that \"despite the pejorative\" meaning behind the name, it sees the name as \"an honor.\"\"It relates to the bravery of the indigenous tribe with the team. In our history, we have as main characteristics the guts, the fight for every ball and not to give up any play.\"The fans and the club adhered to the nickname and the likeable figure of the Indian, and today we are known in the country as Xavante, the red-black gaucho. And we won\\'t change it.\"Sao Paolo-based Pinto says that it goes further than that: \"It started with a slur but nowadays Brasil de Pelotas fans are very proud [to be] Xavantes,\" as fans perceive themselves similarly to the Xavante people: warlike, brave and tough.\"Pelotas is a city that is facing an exodus,\" he says. \"People are moving to other parts of Brazil. So they have a lot of supporters\\' clubs around Brazil and they always merge the name of the state/city with Xavantes.\"Pinto says that racist slurs against Indigenous People are most common in intercontinental football matches in South America.\"In the continental competitions it happens too. Here in Sao Paulo, we do not have a lot of Indigenous, in Buenos Aires and Montevideo too. In Sao Paulo we are more Black or White, not Indigenous. \"So when a club from Bolivia or Peru or Ecuador [visits], countries in the middle [of the continent] are closer to indigenous traces, the supporters from Brazilian clubs, Argentinian clubs, Uruguayan clubs reference these people as \\'Indios.\\'\"Brazilian president Jair Bolsonaro has actively sought to limit the legal protections of Indigenous People.While racism against Indigenous People through sport continues across the continent, in Brazil Pinto offers that, \"they have more urgent issues [with which] to struggle.\"He speaks with reference to president Jair Bolsonaro and the policies towards Indigenous People during his presidency.\"It was a promise that [Bolsonaro] made in his campaign,\" Pinto says. \"He will not concede any land to the communities, that he will explore the surface for miners, and the environmental minister is very close to the farmers and miners. So the Indigenous, since the first day of this government, are very scared about these promises.\"During the Covid-19 pandemic, Bolsonaro has actively sought to limit protections of Indigenous People as well as devastating indigenous lands while the world is distracted. CNN contacted the Brazilian government but did not receive a response at the time of publication.Positive steps in Latin AmericaChile\\'s most successful club Colo-Colo was founded by a White Chilean footballer but is named after Colocolo, a Mapuche tribal leader during the Arauco War fought against the Spanish colonizers.The club\\'s badge also features the likeness of Colocolo.Colo-Colo\\'s badge depicts its namesake, the Mapuche tribal leader Colocolo. Unlike many other clubs, Colo-Colo has actively engaged with the Indigenous community on which its name is based.In a statement, the club told CNN it believes there are \"essential differences\" from other teams around the globe which \"have a negative or derogatory charge.\"According to Pinto, the club was founded by \"rebels and workers\", so it acts as a symbol of an oppressed people fighting against oppressive powers.The club told CNN that the \"Mapuche identity is present and diluted in the Chilean population in a patent and documented way\" and as such the club has taken steps to recognize that.Colo-Colo flies the Mapuche flag alongside the Chilean flag at its stadium, and signage around the ground is written in both Spanish and Mapuche.The club said it was making efforts \"to seek an understanding and solution of the demands of the Mapuche people,\" along with \"performing ceremonies such as the the Mapuche June Solstice celebration in the stadium together with partners, fans, Mapuche communities and club authorities.\"Tribe members march for indigenous territorial rights on November 11, 2015 in Angra dos Reis, Brazil. Members of the Pataxo and Guarani tribes in Rio de Janeiro state joined the march. Pinto is less optimistic that real change will happen soon. Speaking of indigenous communities in his local Rio state, he said: \"They are very threatened by the Rio state ... they [Indigenous People] march and make demos but the majority of society doesn\\'t give a sh*t.\"There is still a long way to go in Latin America for Indigenous People, let alone their representation in sports.', 'entities': [{'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}, {'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'DENNIS BANKS', 'tgt_id': 'AMERICAN INDIAN MOVEMENT', 'description': 'Dennis Banks was a longtime leader of the American Indian Movement.', 'weight': 0.9, 'order': 1}, {'src_id': 'DENNIS BANKS', 'tgt_id': 'WASHINGTON REDSKINS', 'description': 'Dennis Banks devoted much of his life to campaigning for the team formerly known as the Washington Redskins to change its name.', 'weight': 0.8, 'order': 1}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'WASHINGTON FOOTBALL TEAM', 'description': 'The killing of George Floyd forced the Washington Football Team to review its association with Native American heritage.', 'weight': 0.8, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'KANSAS CITY CHIEFS', 'description': 'The killing of George Floyd forced the Kansas City Chiefs to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CLEVELAND INDIANS', 'description': 'The killing of George Floyd forced the Cleveland Indians to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'ATLANTA BRAVES', 'description': 'The killing of George Floyd forced the Atlanta Braves to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CHICAGO BLACKHAWKS', 'description': 'The killing of George Floyd forced the Chicago Blackhawks to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'EDMONTON ESKIMOS', 'tgt_id': 'EDMONTON FOOTBALL TEAM', 'description': 'The Edmonton Eskimos retired their name and became the Edmonton Football Team.', 'weight': 0.8, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAA GENT', 'description': 'Both Exeter Chiefs and KAA Gent use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both Exeter Chiefs and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'KAA GENT', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both KAA Gent and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'GUARANI FC', 'tgt_id': 'CLUB GUARANI', 'description': 'Both Guarani FC and Club Guarani are named after the Guarani people.', 'weight': 0.7, 'order': 1}, {'src_id': 'CHAPECOENSE', 'tgt_id': 'BRASIL DE PELOTAS', 'description': 'Both Chapecoense and Brasil de Pelotas have associations with indigenous culture.', 'weight': 0.7, 'order': 1}, {'src_id': 'COLO-COLO', 'tgt_id': 'MAPUCHE', 'description': 'Colo-Colo is named after a Mapuche tribal leader and has actively engaged with the Indigenous community.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsRory McIlroy and Luke Donald lead the way after second day in DubaiScotland\\'s 189th ranked Marc Warren also level with leaders on 11-underSergio Garcia equals course record of 64 following round of eight-underSouth African duo Louis Oosthuizen and Branden Grace a shot off the leadRory McIlroy and Luke Donald look set to fight it out for the $8million prize at the World Tour Championship after finishing level at the top of the leaderboard Friday.The pair, who are joined on 11-under by Scotland\\'s world No.189 Marc Warren, are in pole position after another impressive day on the Earth course.World no.1 McIlroy, who revealed that he had been suffering with the extreme heat, looked in top form with tennis ace girlfriend Caroline Wozniacki smiling on from the gallery.Top two dominate in Dubai   \"I didn\\'t feel great last night, but I felt much better this morning and felt nearly 100 % on the golf course,\" McIlroy told reporters.   \"I guess it\\'s just us Irish and the skin just not used to this sort of sun.  That\\'s my excuse anyway.JUST WATCHEDTiger and Rory talk friendly competitionReplayMore Videos ...MUST WATCHTiger and Rory talk friendly competition 01:29JUST WATCHEDExclusive: Tiger and Rory\\'s \\'bromance\\'ReplayMore Videos ...MUST WATCHExclusive: Tiger and Rory\\'s \\'bromance\\' 09:34JUST WATCHEDOchoa: Motherhood has changed meReplayMore Videos ...MUST WATCHOchoa: Motherhood has changed me 06:03   \"I played well. I continued to drive the ball really well and gave myself plenty of opportunities. It was a solid round and obviously, puts me in a good position going into the weekend.   \"I am as motivated as I have been the whole year and I am not going to let it drop just for this week.\"McIlroy clinches money list doubleIt was another successful day for Englishman Donald, who hit a bogey-free round of 68 with two birdies on either half of the course. \"I haven\\'t dropped a shot in 36 holes, so that feels really good,\" he said.\"But it  wasn\\'t quite as good on the greens today...I had some opportunities on a few  holes that I just misread.\"While the world\\'s top two have dominated, the emergence of Warren has come of something of a surprise, not least to the man himself.   \"It was nice to be the Scot in that pack with the Englishman and the  Northern Irishman,\" said Warren, who is ranked 55th in the Race to Dubai.   \"It\\'s great to be in contention with guys like that. I just looked at the  leaderboard and kind of enjoyed it really. \"At the same time, I am just trying to stay patient and keep doing what I am doing. I am really looking forward to the weekend.\"While the top three stole the headlines, it was Spain\\'s Sergio Garcia who carded the round of the day after equalling the course record of eight-under 64.Elsewhere, South African pair Louis Oosthuizen (67) and Branden Grace (65) sit a shot off the lead with Masters champion Charl Schwartzel (67) and Scotsman Richie Ramsay (68) tied for sixth at nine-under par.', 'entities': [{'entity_name': 'RORY MCILROY', 'entity_type': 'PERSON', 'description': 'World no.1 golfer who is leading the tournament in Dubai.', 'importance_score': 1.0}, {'entity_name': 'LUKE DONALD', 'entity_type': 'PERSON', 'description': 'English golfer who is tied with Rory McIlroy at the top of the leaderboard.', 'importance_score': 0.9}, {'entity_name': 'MARC WARREN', 'entity_type': 'PERSON', 'description': \"Scotland's 189th ranked golfer who is also level with the leaders on 11-under.\", 'importance_score': 0.8}, {'entity_name': 'SERGIO GARCIA', 'entity_type': 'PERSON', 'description': 'Spanish golfer who equalled the course record of 64 following a round of eight-under.', 'importance_score': 0.7}, {'entity_name': 'LOUIS OOSTHUIZEN', 'entity_type': 'PERSON', 'description': 'South African golfer who is a shot off the lead.', 'importance_score': 0.6}, {'entity_name': 'BRANDEN GRACE', 'entity_type': 'PERSON', 'description': 'South African golfer who is a shot off the lead.', 'importance_score': 0.6}, {'entity_name': 'CAROLINE WOZNIACKI', 'entity_type': 'PERSON', 'description': 'Tennis ace girlfriend of Rory McIlroy, present in the gallery.', 'importance_score': 0.5}, {'entity_name': 'DUBAI', 'entity_type': 'LOCATION', 'description': 'Location where the golf tournament is taking place.', 'importance_score': 0.9}, {'entity_name': 'WORLD TOUR CHAMPIONSHIP', 'entity_type': 'EVENT', 'description': 'Golf tournament where the players are competing for an $8million prize.', 'importance_score': 1.0}, {'entity_name': '$8MILLION', 'entity_type': 'MONEY', 'description': 'Prize money for the winner of the World Tour Championship.', 'importance_score': 0.8}], 'relationships': [{'src_id': 'RORY MCILROY', 'tgt_id': 'LUKE DONALD', 'description': 'Rory McIlroy and Luke Donald are tied at the top of the leaderboard in the World Tour Championship.', 'weight': 1.0, 'order': 1}, {'src_id': 'RORY MCILROY', 'tgt_id': 'MARC WARREN', 'description': 'Rory McIlroy is tied with Marc Warren at the top of the leaderboard.', 'weight': 0.9, 'order': 1}, {'src_id': 'LUKE DONALD', 'tgt_id': 'MARC WARREN', 'description': 'Luke Donald is tied with Marc Warren at the top of the leaderboard.', 'weight': 0.9, 'order': 1}, {'src_id': 'RORY MCILROY', 'tgt_id': 'SERGIO GARCIA', 'description': 'Rory McIlroy is leading the tournament, while Sergio Garcia equalled the course record.', 'weight': 0.8, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'SERGIO GARCIA', 'description': 'Luke Donald is leading the tournament, while Sergio Garcia equalled the course record.', 'weight': 0.8, 'order': 2}, {'src_id': 'RORY MCILROY', 'tgt_id': 'LOUIS OOSTHUIZEN', 'description': 'Rory McIlroy is leading the tournament, while Louis Oosthuizen is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'LOUIS OOSTHUIZEN', 'description': 'Luke Donald is leading the tournament, while Louis Oosthuizen is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'RORY MCILROY', 'tgt_id': 'BRANDEN GRACE', 'description': 'Rory McIlroy is leading the tournament, while Branden Grace is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'BRANDEN GRACE', 'description': 'Luke Donald is leading the tournament, while Branden Grace is a shot off the lead.', 'weight': 0.7, 'order': 2}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)The New York City Marathon returns on Sunday following a two-year hiatus, and at the front of the field, legendary distance runner Kenenisa Bekele is primed to \"make more history\" in his storied career. Bekele, a three-time Olympic gold medalist over 5,000 and 10,000 meters, is the headline name competing in the men\\'s elite field in New York. With his only previous marathon in the United States a fourth-place finish in Chicago seven years ago, the Ethiopian is hungry for success as he prepares to take to the streets of the Big Apple.\"Really, I wanted to have a good result in the USA, that\\'s why I chose the New York marathon,\" Bekele told reporters this week.\"The New York marathon is big publicity and a really big marathon race. To achieve a good result in this marathon would be perfect, and for me, it\\'s also really good to make more history in sports.\"Read MoreBekele has a point to prove after a disappointing outing six weeks ago at the Berlin Marathon -- the race at which he came within two seconds of Eliud Kipchoge\\'s world record time two years ago. Bekele catches his breath after this year\\'s Berlin Marathon. Despite expectations that he could challenge Kipchoge\\'s record of two hours, one minute and 39 seconds in Berlin this year, Bekele says he fell foul to a poor night\\'s sleep as he finished third, more than a minute behind winner Guye Adola.\"I was not ready for that race,\" Bekele explained. \"A few weeks before the race, I was not really confident. It\\'s a little bit tough for me because the day before also I couldn\\'t sleep well, I really had bad luck the day before in the night. That also made me very tired.\"I\\'ve recovered well ... At this moment, I\\'m really strong. I hope I\\'ll achieve a good result on Sunday.\"For race organizers, who called off last year\\'s New York City Marathon amid the pandemic, it is a boon to have a figure like Bekele on the start line on Sunday.On top of his three Olympic gold medals -- including a double in the 5,000 and 10,000 meters at Beijing 2008 -- and one silver medal, he also claimed five world athletics championship titles between 2003 to 2009.  Bekele\\'s 5,000m world record stood for 16 years before it was broken by Uganda\\'s Joshua Cheptegei last year, while his 10,000m record stood for 15 before also being broken last year by Cheptegei. Eliud Kipchoge: Marathon world record holder has \\'the qualities of an ascetic monk\\'Many consider Bekele to be the greatest male distance runner of all time, such has been his supremacy across multiple distances over the past two decades; others point towards Kenya\\'s Kipchoge, who has been so dominant over the 26.2 miles of a marathon and is the first man to break the distance\\'s two-hour barrier, albeit in unofficial conditions. \"I still feel that I am the best and better than anyone,\" Bekele told Sports Illustrated in August after it was announced that he would make his debut in New York. \"I think every athlete and others should think like that.\"Having struggled with injuries and form in recent years, Bekele now has a second opportunity to win a major marathon in the US. There is little chance that he will be able to come close to his best marathon time in New York; unlike Berlin, the course, which undulates through the city\\'s five boroughs, rarely produces fast performances.\"I know the course is tough and there are also no pacemakers in the race. It\\'s more about concentration and a tactical race,\" said Bekele. He will be up against the Netherlands\\' Adbi Nageeye, who won the silver medal at the Olympics in Sapporo three months ago, and the half marathon world record holder Kibiwott Kandie of Kenya, who is making his marathon debut. The women\\'s race is headlined by Kenya\\'s Peres Jepchirchir, the gold medalist at the Olympics. She will be joined by the USA\\'s Olympic bronze medalist Molly Seidel. Seidel poses with her bronze medal from the Tokyo Olympics. Visit CNN.com/sport for more news, videos and featuresAnother athlete to keep an eye on is US star Shalane Flanagan as she attempts to run six marathons in 42 days. Having already completed marathons in Berlin, London, Chicago, Boston and Portland -- all between times of 2:35:14 and 2:46:39 -- Flanagan will aim to complete her challenge in New York. And as for Bekele, like so many other runners who will take to the start line on Sunday, he\\'s grateful to be able to race in New York following the pandemic and last year\\'s cancellation.\"To see the people of New York participate in this race again -- to see this for me is fantastic,\" he said. \"I want to wish all participants good luck.\"', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Kenenisa Bekele\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Legendary distance runner and three-time Olympic gold medalist over 5,000 and 10,000 meters.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"New York City Marathon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Annual marathon in New York City, returning after a two-year hiatus due to the pandemic.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Eliud Kipchoge\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Marathon world record holder and dominant runner over the 26.2 miles of a marathon.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Berlin Marathon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"Annual marathon in Berlin, where Kenenisa Bekele had a disappointing outing six weeks ago.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Guye Adola\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Winner of the Berlin Marathon, finishing more than a minute ahead of Kenenisa Bekele.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Adbi Nageeye\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Dutch runner who won the silver medal at the Olympics in Sapporo and will compete in the New York City Marathon.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Kibiwott Kandie\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Half marathon world record holder from Kenya, making his marathon debut in New York.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Peres Jepchirchir\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Kenyan runner and gold medalist at the Olympics, headlining the women\\'s race in the New York City Marathon.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Molly Seidel\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"American runner and Olympic bronze medalist, competing in the New York City Marathon.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Shalane Flanagan\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"US star attempting to run six marathons in 42 days, including the New York City Marathon.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"New York City Marathon\",\\n\\n\"description\": \"Kenenisa Bekele is primed to compete in the New York City Marathon.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Eliud Kipchoge\",\\n\\n\"description\": \"Kenenisa Bekele aims to make more history in his storied career, comparing himself to Eliud Kipchoge.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Berlin Marathon\",\\n\\n\"description\": \"Kenenisa Bekele had a disappointing outing at the Berlin Marathon six weeks ago.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Kenenisa Bekele\",\\n\\n\"tgt_id\": \"Guye Adola\",\\n\\n\"description\": \"Kenenisa Bekele finished third in the Berlin Marathon, more than a minute behind winner Guye Adola.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Adbi Nageeye\",\\n\\n\"description\": \"Adbi Nageeye will compete in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Kibiwott Kandie\",\\n\\n\"description\": \"Kibiwott Kandie will make his marathon debut in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Peres Jepchirchir\",\\n\\n\"description\": \"Peres Jepchirchir will headline the women\\'s race in the New York City Marathon.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Molly Seidel\",\\n\\n\"description\": \"Molly Seidel will compete in the New York City Marathon.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"New York City Marathon\",\\n\\n\"tgt_id\": \"Shalane Flanagan\",\\n\\n\"description\": \"Shalane Flanagan will aim to complete her challenge of running six marathons in 42 days in the New York City Marathon.\",\\n\\n\"weight\": 0.4,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': ' (CNN)This weekend either Lewis Hamilton or Max Verstappen will be crowned the Formula One world champion. Either way, the sport won big in 2021. This year\\'s success starts with a boom in the sport\\'s fanbase that can be pinned to Netflix\\'s \"Drive to Survive\" docuseries. The show is a crash course on the 10 teams, the 20 drivers, the rivalries between them and the race competition structure. A word-of-mouth campaign for the series along with short, easy viewing episodes made it a perfect pandemic-time binge watch for millions around the world.The series\\' intimate interviews combined with the best action from races and the high level drama is a strong pitch for the real-life spectacle of Formula One.The multifaceted storytelling lets fans focus on the aspects of the sport that most appeal to them. And most importantly, \"Drive to Survive\" primed fans for an easy transition to the track when the 2021 season started.Read MoreThe popularity of the Netflix program, notably in the US, has paid dividends. ESPN says its race viewership in 2021 is up 56% over 2020. There was record attendance at the US Grand Prix in Austin this October -- drivers also credit the docuseries for the sport\\'s growth, including Hamilton himself. READ: Title rivals wary of being on collision course in Abu Dhabi showdownMax Verstappen and Lewis Hamilton have created a thrilling title race. Title race enthralls New fans are important but getting them to stick with the sport is critical. This year\\'s constant action on the track anchored by the Hamilton-Verstappen title fight has satisfied the second part of that equation. Eyes across the globe will be on all 58 laps in Abu Dhabi on Sunday, the final race to determine who takes home the title. Up until the last lap, every second of the season has been and will be a nail biter.All the variables that brought the two drivers to tally the same exact score heading into the finale is what kept fans\\' attention throughout the season. Think Verstappen\\'s car perched on top of Hamilton\\'s after the crash in Monza or the smoke rising forebodingly from Hamilton\\'s brakes seconds before the restart in Baku. Verstappen\\'s car ended up on top of Hamilton\\'s at the Italian Grand Prix in September.The best racing is when the two are at it, wheel-to-wheel, like they were through the opening laps of the British Grand Prix.Sprint Qualifying, a format introduced to three weekends this season was seen across the community as a controversial addition to the sport. Despite that, it provided something new for fans who welcomed the extra racing.F1 still has improvements to make on several fronts that would make the sport and viewing experience more inclusive.There is still an obvious need for greater diversity behind the wheel and in the institution itself. The league\\'s first full-time driver from China, Guanyu Zhou, will be a much-welcomed addition to the track when he makes his debut next season. However, it is hard to ignore just how White and male dominated the sport is.JUST WATCHEDValtteri Bottas: F1 title race will go down to the wireReplayMore Videos ...MUST WATCHValtteri Bottas: F1 title race will go down to the wire 04:17The FIA, the governing body of the sport, also has some work to do to make rules more transparent and easier to follow. Commentators do their best to make sense of the calls being made by the stewards, but sometimes, even they are left scratching their heads -- driver and team penalties often seem totally arbitrary or ill-explained.Fan accessibility will remain a challenge. Part of that is built-in because F1 is a global sport with just over 20 events a year. Those constraints make attending a race weekend expensive. For American fans eager to make it to a race, there is some good news: a race in Miami next season means two races in the US for the first time since 1984.After the exciting culmination of this season comes the anticipation for the next, with new car designs and some changes in the driver lineup. Season four of \"Drive to Survive\" is imminent too. All of that adds up to a feeling that there is so much more to come from the sport. ', 'entities': [{'entity_name': 'LEWIS HAMILTON', 'entity_type': 'PERSON', 'description': 'A Formula One driver who is competing for the world championship.', 'importance_score': 0.9}, {'entity_name': 'MAX VERSTAPPEN', 'entity_type': 'PERSON', 'description': 'A Formula One driver who is competing for the world championship.', 'importance_score': 0.9}, {'entity_name': 'FORMULA ONE', 'entity_type': 'SPORT', 'description': 'A high-profile motor racing sport.', 'importance_score': 0.8}, {'entity_name': 'NETFLIX', 'entity_type': 'ORGANIZATION', 'description': \"A streaming service that produced the 'Drive to Survive' docuseries.\", 'importance_score': 0.7}, {'entity_name': 'DRIVE TO SURVIVE', 'entity_type': 'TV_SHOW', 'description': 'A docuseries on Netflix that focuses on Formula One.', 'importance_score': 0.8}, {'entity_name': 'ESPN', 'entity_type': 'ORGANIZATION', 'description': 'A sports broadcasting network.', 'importance_score': 0.6}, {'entity_name': 'US GRAND PRIX', 'entity_type': 'EVENT', 'description': 'A Formula One race event held in Austin, Texas.', 'importance_score': 0.7}, {'entity_name': 'ABU DHABI', 'entity_type': 'LOCATION', 'description': 'The location of the final race to determine the Formula One world champion.', 'importance_score': 0.6}, {'entity_name': 'GUANYU ZHOU', 'entity_type': 'PERSON', 'description': 'The first full-time driver from China in Formula One.', 'importance_score': 0.5}, {'entity_name': 'FIA', 'entity_type': 'ORGANIZATION', 'description': 'The governing body of Formula One.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'LEWIS HAMILTON', 'tgt_id': 'MAX VERSTAPPEN', 'description': 'Lewis Hamilton and Max Verstappen are competing for the Formula One world championship.', 'weight': 0.9, 'order': 1}, {'src_id': 'DRIVE TO SURVIVE', 'tgt_id': 'FORMULA ONE', 'description': \"The 'Drive to Survive' docuseries on Netflix has increased the popularity of Formula One.\", 'weight': 0.8, 'order': 1}, {'src_id': 'ESPN', 'tgt_id': 'FORMULA ONE', 'description': 'ESPN has reported a 56% increase in race viewership for Formula One in 2021.', 'weight': 0.7, 'order': 1}, {'src_id': 'US GRAND PRIX', 'tgt_id': 'FORMULA ONE', 'description': 'The US Grand Prix is a significant event in the Formula One calendar.', 'weight': 0.7, 'order': 1}, {'src_id': 'ABU DHABI', 'tgt_id': 'FORMULA ONE', 'description': 'The final race of the Formula One season is held in Abu Dhabi.', 'weight': 0.6, 'order': 1}, {'src_id': 'GUANYU ZHOU', 'tgt_id': 'FORMULA ONE', 'description': 'Guanyu Zhou is the first full-time driver from China in Formula One.', 'weight': 0.5, 'order': 1}, {'src_id': 'FIA', 'tgt_id': 'FORMULA ONE', 'description': 'The FIA is the governing body of Formula One.', 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'The Dutch parliament on Thursday passed a non-binding motion saying the treatment of the Uyghur Muslim minority in China amounts to genocide, the first such move by a European country.Activists and United Nations rights experts say at least one million Muslims are being detained in camps in the remote western region of Xinjiang. The activists and some Western politicians accuse China of using torture, forced labor and sterilizations.China denies any human rights abuses in Xinjiang and says its camps provide vocational training and are needed to fight extremism.\"A genocide on the Uyghur minority is occurring in China,\" the Dutch motion said, stopping short of directly saying that the Chinese government was responsible.The Chinese Embassy in The Hague said on Thursday any suggestion of a genocide in Xinjiang was an \"outright lie\" and the Dutch parliament had \"deliberately smeared China and grossly interfered in China\\'s internal affairs.\"The frozen Hofvijver pond is seen outside the Dutch parliament buildings in The Hague, Netherlands, Tuesday, February 9.Read MoreCanada passed a non-binding resolution labeling China\\'s treatment of the Uyghurs genocide earlier this week.The Dutch motion said that actions by the Chinese government such as \"measures intended to prevent births\" and \"having punishment camps\" fell under United Nations Resolution 260, generally known as the genocide convention.Prime Minister Mark Rutte\\'s conservative VVD party voted against the resolution.\\'Great concern\\'Foreign Minister Stef Blok said the government did not want to use the term genocide, as the situation has not been declared as such by the United Nations or by an international court.\"The situation of the Uyghurs is a cause of great concern\", Blok told reporters after the motion was passed, adding that the Netherlands hoped to work with other nations on the matter.The author of the motion, lawmaker Sjoerd Sjoerdsma of the centre-left D-66 Party, has separately proposed lobbying the International Olympic Committee to move the 2022 Winter Olympics away from Beijing.JUST WATCHEDLeaked records expose China\\'s Xinjiang campsReplayMore Videos ...MUST WATCHLeaked records expose China\\'s Xinjiang camps 06:57\"Recognizing the atrocities that are taking place against the Uyghurs in China for what they are, namely genocide, prevents the world from looking the other way and forces us into action,\" he told Reuters in an emailed response to questions.In a statement on its website, the Chinese Embassy in The Hague said the Uyghur population in Xinjiang has been growing in in recent years, enjoying a higher standard of living, and a longer life expectancy.\"How can you call this a genocide?\" it said. \"Xinjiang-related issues are never about human rights, ethnicity or religion, but about combating violent terrorism and secession.\"China\\'s ambassador to the United Nations in Geneva accused Western powers on Wednesday of using the Uyghur issue to meddle in his country\\'s internal affairs.', 'entities': [{'entity_name': 'DUTCH PARLIAMENT', 'entity_type': 'ORGANIZATION', 'description': 'The legislative body of the Netherlands that passed a non-binding motion regarding the treatment of the Uyghur Muslim minority in China.', 'importance_score': 0.9}, {'entity_name': 'CHINA', 'entity_type': 'LOCATION', 'description': \"A country where the Uyghur Muslim minority is allegedly being subjected to genocide according to the Dutch parliament's motion.\", 'importance_score': 0.9}, {'entity_name': 'UYGHUR MUSLIM MINORITY', 'entity_type': 'NATIONALITY', 'description': 'A group of people in China who are the subject of a non-binding motion passed by the Dutch parliament, alleging genocide.', 'importance_score': 0.8}, {'entity_name': 'UNITED NATIONS', 'entity_type': 'ORGANIZATION', 'description': 'An international organization that has rights experts who report on the situation of the Uyghur Muslim minority in China.', 'importance_score': 0.7}, {'entity_name': 'XINJIANG', 'entity_type': 'LOCATION', 'description': 'A remote western region of China where at least one million Muslims are reportedly being detained in camps.', 'importance_score': 0.8}, {'entity_name': 'MARK RUTTE', 'entity_type': 'PERSON', 'description': \"The Prime Minister of the Netherlands whose conservative VVD party voted against the resolution labeling China's treatment of the Uyghurs as genocide.\", 'importance_score': 0.7}, {'entity_name': 'STEF BLOK', 'entity_type': 'PERSON', 'description': 'The Foreign Minister of the Netherlands who expressed great concern about the situation of the Uyghurs but did not want to use the term genocide.', 'importance_score': 0.7}, {'entity_name': 'SJOERD SJOERDSMA', 'entity_type': 'PERSON', 'description': 'A lawmaker from the centre-left D-66 Party who authored the motion and proposed lobbying the International Olympic Committee to move the 2022 Winter Olympics away from Beijing.', 'importance_score': 0.7}, {'entity_name': 'INTERNATIONAL OLYMPIC COMMITTEE', 'entity_type': 'ORGANIZATION', 'description': 'An international organization that Sjoerd Sjoerdsma proposed to lobby to move the 2022 Winter Olympics away from Beijing due to the Uyghur situation.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'DUTCH PARLIAMENT', 'tgt_id': 'CHINA', 'description': 'The Dutch parliament passed a non-binding motion saying the treatment of the Uyghur Muslim minority in China amounts to genocide.', 'weight': 0.9, 'order': 1}, {'src_id': 'CHINA', 'tgt_id': 'UYGHUR MUSLIM MINORITY', 'description': \"China is accused of committing genocide against the Uyghur Muslim minority, according to the Dutch parliament's motion.\", 'weight': 0.9, 'order': 1}, {'src_id': 'UNITED NATIONS', 'tgt_id': 'XINJIANG', 'description': 'United Nations rights experts report that at least one million Muslims are being detained in camps in the remote western region of Xinjiang.', 'weight': 0.8, 'order': 1}, {'src_id': 'MARK RUTTE', 'tgt_id': 'DUTCH PARLIAMENT', 'description': \"Mark Rutte's conservative VVD party voted against the resolution in the Dutch parliament labeling China's treatment of the Uyghurs as genocide.\", 'weight': 0.7, 'order': 1}, {'src_id': 'STEF BLOK', 'tgt_id': 'UYGHURS', 'description': 'Foreign Minister Stef Blok expressed great concern about the situation of the Uyghurs but did not want to use the term genocide.', 'weight': 0.7, 'order': 1}, {'src_id': 'SJOERD SJOERDSMA', 'tgt_id': 'INTERNATIONAL OLYMPIC COMMITTEE', 'description': 'Sjoerd Sjoerdsma proposed lobbying the International Olympic Committee to move the 2022 Winter Olympics away from Beijing due to the Uyghur situation.', 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)It\\'s a question that has been asked for 50 years -- again and again.\"Why do these people continue to make a mockery of our culture?\" The question in 1970 was posed by Dennis Banks in reference to the use of Native American heritage being used for names and mascots for American sports teams. Banks was a Native American activist and a longtime leader of the American Indian Movement (AIM).Banks devoted much of his life and attention to campaigning for the team formerly known as the Washington Redskins to change its name.He died in 2017, aged 80, with the team\\'s name still intact.The Washington Football Team changed its name after 50 years of protests.Read MoreThe year 2020 put the issue of race front and center of political and societal debate.The killing of George Floyd also forced many sport teams that utilize Native American heritage to review that association -- be it their name or logo.Washington has changed its logo and is now known as the Washington Football Team. Additionally, the Kansas City Chiefs in the NFL, the Cleveland Indians and Atlanta Braves in the MLB, and the Chicago Blackhawks in the NHL have all looked inwards and made changes.Changes also came in Canada. In July, the Edmonton Eskimos football team announced that the team would retire the \"Eskimos\" name. The Inuit -- Indigenous People of the Canadian Arctic -- often take offense at the term \"Eskimo.\" \"While many fans are deeply committed to keeping the name, others are increasingly uncomfortable with the moniker,\" said the club in an official statement. The club said it had engaged with Inuit communities in recent years to discuss the name and felt now the time was right to change it.The team has retained its recognizable \"EE\" logo, but is yet to choose a new name. For the moment, the club is called the Edmonton Football Team or the EE Football Team. While originally a placeholder name, Washington president Jason Wright said the \"Football Team\" name may remain the team\\'s long-term name.But across the rest of the world, notably in Latin America, there\\'s arguably been less willingness to engage with the idea of what these associations potentially mean for Indigenous communities.In Latin America, it isn\\'t just the sporting world turning its back on Indigenous communities. According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.For Native Americans, the use -- and abuse -- of their images, likenesses and culture in sports is a contemporary form of the marginalization they have historically experienced.The director of First Peoples Worldwide Carla Fredericks told CNN that a lot of the offense caused is due to false representation and outright racism.\"Of course, in the US, Native Americans have endured a really brutal history of colonization, marginalization, and so on,\" she says.\"And one of the kind of end results about that is that Americans really don\\'t have a good grip on who contemporary Native American people are and so the only representative of us is the representation that we see in sport -- for many people. \"And obviously that\\'s troubling because that\\'s a caricatured representation and not an accurate representation of living, breathing cultures.\" The use of indigenous culture in sport is, therefore, an act that reminds Native Americans of their historic oppression at the hands of colonizers.There is also evidence to suggest that caricaturing Indigenous culture in sports causes depression, low self-esteem, substance abuse and even suicide among Native American youth.According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.Fredericks adds that \"the notion of consent and stakeholder engagement\" -- or lack thereof -- is central to the issue too.She says consent is key when considering the acceptability of the use of Indigenous Peoples\\' culture, pointing to the UN Declaration on the Rights of Indigenous Peoples.\"I think the right approach at this point in time is really to seek counsel from those communities and ask them, you know, \\'Where do you stand on this? Is this something that you appreciate? Is it something that is harmful to you?\\'\"The issue has long been the focal point of media and activist attention in the US, particularly over professional sports franchises. But it is not a uniquely American issue, and it is not a social phenomenon that affects just Native Americans. It is a global problem, and one that affects Indigenous people around the world. The story beyond North AmericaThe Exeter Chiefs rugby union team in the UK, the KAA Gent soccer team in Belgium and the Kaizer Chiefs soccer team in South Africa all use a Native American man in headdress as their logos.While teams in the US are reviewing and removing similar logos and names, these teams have each chosen to keep their logo. This is in spite of public pressure in some cases.The logos of soccer teams Kaizer Chiefs in South Africa, KAA Gent in Belgium and rugby team Exeter Chiefs in the UK all have a Native American wearing a headdress.A recent petition, launched by an Exeter fan named Ash Green, asked the Exeter Chiefs to change its \"harmful use of Indigenous Peoples\\' imagery and branding.\" It initially gained 3,700 signatures and the club announced its board would meet to discuss a rebranding. However, that meeting resulted in only the retirement of the team\\'s mascot, \"Big Chief.\" The club released a statement saying that the logo would remain, and that the board took the view that it was \"in fact highly respectful.\"As for the \"Chiefs\" name, the club said that the name \"dated back into the early 1900s and had a long history with people in the Devon area,\" the English county in which Exeter lies.The Exeter Chiefs for Change, a group campaigning for the club to change its name and remove references to Native American culture, released a statement labeling the decision as \"incredibly disappointing,\" and that the club had \"thrown away an opportunity to show itself as an inclusive club.\" \"We accept that the intention of the club for the branding was originally positive and not derogatory,\" they continued. \"But now they know it is not perceived in that way, they are making a conscious decision to be intentionally offensive by continuing to use it.\"The group concluded its statement saying that they were \"horrified\" and that \"the decision will not age well.\"In their statement, the Chiefs said the club will be making no further comment on the matter.Exeter Chiefs rugby team has retired its mascot \"Big Chief\" but will not remove the \"Chiefs\" part of its name. KAA Gent has an extensive section on its website that speaks to the historic oppression and present-day struggle of Native Americans. It also explains the history of the club\\'s logo, and that the cultural context was \"a positive one.\" It says that the club represents \"respect, courage and honor. Values that they attributed to the Native Americans rather than to their White oppressor.\"Despite acknowledging the potential offense that its logo may cause, the club explains that it chooses to retain the logo as it \"draws attention throughout Europe to the social situation facing the Native American population today.\"KAA Gent acknowledge potential offense the team\\'s logo can cause, but said it would remain the club\\'s logo.In addition, the club says through its foundation, it is \"willing to investigate, along with representatives of the Native American population, if and how KAA Gent can organize a social partnership with an initiative in the United States that aims to bring about an improvement in the standard of living experienced by Native Americans, using football as a powerful instrument.\"CNN was told by the club that it reached out to \"some [Native American] organizations/representatives\" via Facebook in 2018 but received no rejection or acceptance of an \"exchange of views.\"The club says if a Native American organization did reach out, representatives \"would listen respectfully and try to establish such a partnership for the future.\"CNN contacted Kaizer Chiefs but did not receive a response at the time of publication.The Latin American storyIn Latin America, there is a case to be made that not only do the clubs not engage with Indigenous communities, but actively ignore scrutiny of practices. Only two of the five Latin American clubs contacted for this story responded to CNN.Guarani people are indigenous to South America, and live in Paraguay, Brazil, Argentina, Uruguay and Bolivia.The Guarani people represent the largest indigenous group in Brazil with a population of 51,000.They are one of the most vulnerable Indigenous groups in the world. In 2013, it was found that Guarani people suffer a murder rate four times higher than the national homicide rate in Brazil, according to the Brazilian non-governmental organization CIMI.Most of their land was taken from them during the twentieth century, and they have an unequaled suicide rate in South America.Guarani people in Brazil are one of the most vulnerable Indigenous groups in the world.In the world of soccer, there are numerous Brazilian teams named after the Guarani people.Second division side Guarani FC last played in the top division in 2010 and won the Serie A title in 1978.In Paraguay, the fourth most successful team is Club Guarani. These two sides represent the best known \"Guarani\" soccer clubs and it is unclear whether the clubs ever obtained the consent of the Guarani people. CNN reached out to both clubs to seek comment but didn\\'t receive a response from either.Guarani FC is based in Campinas, and is named in homage to the opera Il Guarany by Campinas-born composer Carlos Gomes. While the name is born out of an opera, it still marks an appropriation of an Indigenous peoples\\' identity.Fans of Guarani sometimes use an ethnic slur for an Indigenous Brazilian when referring to the club.Guarani FC have been promoted back to the Brazilian Serie A after one season in Serie B. The club came second to Neymar\\'s Santos in the 2012 Campeonato Paulista.There are numerous other examples across the continent where Indigenous culture is used by clubs without affiliation to Indigenous groups.Chapecoense made global headlines after a 2016 plane crash killed the vast majority of players and staff at the club.The club\\'s stadium was formerly known as Estadio Indio Conda. Brazilian football historian and podcaster Matias Pinto says that in Latin America, Indio is often a word regularly utilized as a racial slur that connotes indigenous people. \"In Brazil and other parts of Latin America, it depends how you say it. But when you chant \\'Indio\\' it\\'s derogatory,\" he says.He also adds that the club has no link to native people.\"Conda is an Indigenous leader from the past, so they honor this native hero in the West of Santa Catarina. But the Chapecoense fans are not native. They are mostly European descendants from the 19th century.\"The club\\'s mascot is an indigenous person -- in reality, a person wearing Chapecoense kit alongside a mask of an indigenous person. One can also download a cartoon image of the mascot from the club\\'s website, which is entitled \"Indio.\"Chapecoense was contacted by CNN but did not receive a response at the time of publication.Chapecoense\\'s mascot is an indigenous person.\"They were barbarians, they looked like the Xavantes.\"It isn\\'t just appropriation that can cause problems for Indigenous People, as Fredericks says: \"Unfortunately, because of the nature of sport, not only home team fans might behave in a way that\\'s very disparaging and appropriative. But the opposing team fans might engage in behavior that\\'s very insulting towards people.\"The Xavante are an Indigenous People in Brazil numbering approximately 22,000, according to Povos Indigenas no Brasil. Fans of the football club Gremio Esportivo Brasil, also known as Brasil de Pelotas -- which is based in the south of Brazil -- have been nicknamed Xavantes since 1946. According to an official statement made to CNN by the club, the nickname came about following a 1946 match against its main rivals Esporte Clube Pelotas. Down 3-1 at half time, Brasil de Pelotas came back in the second half to win 5-3. After the final whistle, fans of Brasil de Pelotas destroyed the fence separating the field from the stands and broke onto the field to celebrate.Following the game and the subsequent field invasion, an Esporte Clube Pelotas official gave a statement to the press, saying: \"They were barbarians, they looked like the Xavantes.\"Fans of Brasi de Pelotas, who wear red and black, are known as Xavantes after an official of a rival used it as a slur against them in 1946.The name was soon adopted by Brasil de Pelotas fans with pride and the club says that \"despite the pejorative\" meaning behind the name, it sees the name as \"an honor.\"\"It relates to the bravery of the indigenous tribe with the team. In our history, we have as main characteristics the guts, the fight for every ball and not to give up any play.\"The fans and the club adhered to the nickname and the likeable figure of the Indian, and today we are known in the country as Xavante, the red-black gaucho. And we won\\'t change it.\"Sao Paolo-based Pinto says that it goes further than that: \"It started with a slur but nowadays Brasil de Pelotas fans are very proud [to be] Xavantes,\" as fans perceive themselves similarly to the Xavante people: warlike, brave and tough.\"Pelotas is a city that is facing an exodus,\" he says. \"People are moving to other parts of Brazil. So they have a lot of supporters\\' clubs around Brazil and they always merge the name of the state/city with Xavantes.\"Pinto says that racist slurs against Indigenous People are most common in intercontinental football matches in South America.\"In the continental competitions it happens too. Here in Sao Paulo, we do not have a lot of Indigenous, in Buenos Aires and Montevideo too. In Sao Paulo we are more Black or White, not Indigenous. \"So when a club from Bolivia or Peru or Ecuador [visits], countries in the middle [of the continent] are closer to indigenous traces, the supporters from Brazilian clubs, Argentinian clubs, Uruguayan clubs reference these people as \\'Indios.\\'\"Brazilian president Jair Bolsonaro has actively sought to limit the legal protections of Indigenous People.While racism against Indigenous People through sport continues across the continent, in Brazil Pinto offers that, \"they have more urgent issues [with which] to struggle.\"He speaks with reference to president Jair Bolsonaro and the policies towards Indigenous People during his presidency.\"It was a promise that [Bolsonaro] made in his campaign,\" Pinto says. \"He will not concede any land to the communities, that he will explore the surface for miners, and the environmental minister is very close to the farmers and miners. So the Indigenous, since the first day of this government, are very scared about these promises.\"During the Covid-19 pandemic, Bolsonaro has actively sought to limit protections of Indigenous People as well as devastating indigenous lands while the world is distracted. CNN contacted the Brazilian government but did not receive a response at the time of publication.Positive steps in Latin AmericaChile\\'s most successful club Colo-Colo was founded by a White Chilean footballer but is named after Colocolo, a Mapuche tribal leader during the Arauco War fought against the Spanish colonizers.The club\\'s badge also features the likeness of Colocolo.Colo-Colo\\'s badge depicts its namesake, the Mapuche tribal leader Colocolo. Unlike many other clubs, Colo-Colo has actively engaged with the Indigenous community on which its name is based.In a statement, the club told CNN it believes there are \"essential differences\" from other teams around the globe which \"have a negative or derogatory charge.\"According to Pinto, the club was founded by \"rebels and workers\", so it acts as a symbol of an oppressed people fighting against oppressive powers.The club told CNN that the \"Mapuche identity is present and diluted in the Chilean population in a patent and documented way\" and as such the club has taken steps to recognize that.Colo-Colo flies the Mapuche flag alongside the Chilean flag at its stadium, and signage around the ground is written in both Spanish and Mapuche.The club said it was making efforts \"to seek an understanding and solution of the demands of the Mapuche people,\" along with \"performing ceremonies such as the the Mapuche June Solstice celebration in the stadium together with partners, fans, Mapuche communities and club authorities.\"Tribe members march for indigenous territorial rights on November 11, 2015 in Angra dos Reis, Brazil. Members of the Pataxo and Guarani tribes in Rio de Janeiro state joined the march. Pinto is less optimistic that real change will happen soon. Speaking of indigenous communities in his local Rio state, he said: \"They are very threatened by the Rio state ... they [Indigenous People] march and make demos but the majority of society doesn\\'t give a sh*t.\"There is still a long way to go in Latin America for Indigenous People, let alone their representation in sports.', 'entities': [{'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}, {'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'DENNIS BANKS', 'tgt_id': 'AMERICAN INDIAN MOVEMENT', 'description': 'Dennis Banks was a longtime leader of the American Indian Movement.', 'weight': 0.9, 'order': 1}, {'src_id': 'DENNIS BANKS', 'tgt_id': 'WASHINGTON REDSKINS', 'description': 'Dennis Banks devoted much of his life to campaigning for the team formerly known as the Washington Redskins to change its name.', 'weight': 0.8, 'order': 1}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'WASHINGTON FOOTBALL TEAM', 'description': 'The killing of George Floyd forced the Washington Football Team to review its association with Native American heritage.', 'weight': 0.8, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'KANSAS CITY CHIEFS', 'description': 'The killing of George Floyd forced the Kansas City Chiefs to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CLEVELAND INDIANS', 'description': 'The killing of George Floyd forced the Cleveland Indians to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'ATLANTA BRAVES', 'description': 'The killing of George Floyd forced the Atlanta Braves to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CHICAGO BLACKHAWKS', 'description': 'The killing of George Floyd forced the Chicago Blackhawks to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'EDMONTON ESKIMOS', 'tgt_id': 'EDMONTON FOOTBALL TEAM', 'description': 'The Edmonton Eskimos retired their name and became the Edmonton Football Team.', 'weight': 0.8, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAA GENT', 'description': 'Both Exeter Chiefs and KAA Gent use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both Exeter Chiefs and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'KAA GENT', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both KAA Gent and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'GUARANI FC', 'tgt_id': 'CLUB GUARANI', 'description': 'Both Guarani FC and Club Guarani are named after the Guarani people.', 'weight': 0.7, 'order': 1}, {'src_id': 'CHAPECOENSE', 'tgt_id': 'BRASIL DE PELOTAS', 'description': 'Both Chapecoense and Brasil de Pelotas have associations with indigenous culture.', 'weight': 0.7, 'order': 1}, {'src_id': 'COLO-COLO', 'tgt_id': 'MAPUCHE', 'description': 'Colo-Colo is named after a Mapuche tribal leader and has actively engaged with the Indigenous community.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsThe Man v Fat soccer league is exclusively for men with a body mass index of 30 or moreThe league helps players lose weight, but it also gives them a built-in support group (CNN)After reviewing restaurants for years, Andrew Shanahan became obese and was looking for a way to lose weight.But it wasn\\'t easy to find a program tailored to men. Every time he tried joining a weight-loss group, he was the only man in the room. \"I wondered how many other men felt that there was something missing and who weren\\'t getting the support that you desperately need when you\\'re trying to lose weight,\" he said.So in 2014, with the help of a crowdfunding campaign, Shanahan launched his Man v Fat initiative to reach out to other men like him. The idea drew attention from celebrities such as chef Jamie Oliver, and Shanahan was encouraged to write a book on it the next year. Being based in England, a soccer league seemed like a natural outreach program. And Shanahan received nearly 1,000 applications for 80 spots in the inaugural league, which was created exclusively for men with a body mass index of 30 or more.Read MorePhotographer Simone PerolariMany of the men used to play soccer -- or as it\\'s called in most of the world, football -- but their weight had become an obstacle in pursuing the sport they love.\"I saw people who want to have fun and slim down and believe in what they do,\" said Simone Perolari, who photographed the league and whose images can be seen in the gallery above. \"There is not a space for them in classic football, but some of them are really good players.\"Rob Bird, 40, read about the league in the Birmingham Mail. He played the sport until he was 25, and he calls the 15 years after that the \"fat years\" when he didn\\'t feel comfortable playing. \"I\\'ve always loved football, but playing against \\'normal-size\\' guys left me feeling like I couldn\\'t compete as they were faster,\" Bird said. \"(This league) is a level playing field for bigger guys.\" Shanahan isn\\'t sure what he was expecting to result from the league\\'s first season, but the competitiveness of the players surprised him. \"For a long time they haven\\'t had a level playing field to compete on, so they are all determined to give it everything they have,\" he said. \"Fortunately, even those teams who lose can see that the benefits of losing weight and getting healthy more than make up for not topping the league.\"Social mediaFollow @CNNPhotos on Twitter to join the conversation about photography.Shanahan watched bonds form between the men as they enjoyed their favorite sport and supported one another in their goals to get fit and healthy. After 14 weeks, the 80 team members collectively lost 1,727 pounds, with the average weight loss close to 22 pounds per player. Marcus Farnsworth lost more than 70 pounds and is enjoying the energy boost he\\'s received in return. He hopes it will help with his knees and back as he continues to lose weight. But he also enjoyed the togetherness and support of the guys around him. \"It gives you good motivation if one person is feeling hungry or thinking about snacking,\" Farnsworth said. \"We can give advice and communicate through our WhatsApp group for support.\"Bird has dropped nearly 60 pounds and is now down to 210. His gout and leg ulcer have improved \"immeasurably.\"Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.Rob Bird, a player in the Man v Fat soccer league\"I feel a million times better,\" Bird said. \"This has given me the confidence that if you are making the right choices, you will feel better for it. Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.\"Shanahan is expanding the league across the rest of the United Kingdom beginning in July, and he hopes to start similar leagues in the United States and other countries. \"We saw a lot of health improvements, whether it was guys curing their sleep apnea, reversing their diabetes or lowering their blood pressure,\" Shanahan said. \"The other really notable thing was how much many of the players grew in confidence. \"I think it\\'s a great thing to undertake a project with other people who desperately want the same thing. It gives you energy and impetus. Working with the guys has been one of the greatest privileges of my career. To share in their excitement and to witness their achievements has been amazing.\"Simone Perolari is an Italian photographer based in Paris. You can follow him on Facebook and Instagram.', 'entities': [{'entity_name': 'MAN V FAT SOCCER LEAGUE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer league exclusively for men with a body mass index of 30 or more, helping them lose weight and providing a built-in support group.', 'importance_score': 0.9}, {'entity_name': 'ANDREW SHANAHAN', 'entity_type': 'PERSON', 'description': 'A man who became obese after reviewing restaurants for years and later launched the Man v Fat initiative.', 'importance_score': 0.8}, {'entity_name': 'JAMIE OLIVER', 'entity_type': 'PERSON', 'description': 'A celebrity chef who drew attention to the Man v Fat initiative.', 'importance_score': 0.7}, {'entity_name': 'SIMONE PEROLARI', 'entity_type': 'PERSON', 'description': 'A photographer who documented the Man v Fat soccer league.', 'importance_score': 0.6}, {'entity_name': 'ROB BIRD', 'entity_type': 'PERSON', 'description': 'A player in the Man v Fat soccer league who lost nearly 60 pounds.', 'importance_score': 0.7}, {'entity_name': 'MARCUS FARNSWORTH', 'entity_type': 'PERSON', 'description': 'A player in the Man v Fat soccer league who lost more than 70 pounds.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'ANDREW SHANAHAN', 'tgt_id': 'MAN V FAT SOCCER LEAGUE', 'description': 'Andrew Shanahan launched the Man v Fat soccer league.', 'weight': 1.0, 'order': 1}, {'src_id': 'MAN V FAT SOCCER LEAGUE', 'tgt_id': 'JAMIE OLIVER', 'description': 'The Man v Fat soccer league drew attention from celebrity chef Jamie Oliver.', 'weight': 0.8, 'order': 2}, {'src_id': 'MAN V FAT SOCCER LEAGUE', 'tgt_id': 'SIMONE PEROLARI', 'description': 'Simone Perolari photographed the Man v Fat soccer league.', 'weight': 0.7, 'order': 2}, {'src_id': 'MAN V FAT SOCCER LEAGUE', 'tgt_id': 'ROB BIRD', 'description': 'Rob Bird is a player in the Man v Fat soccer league.', 'weight': 1.0, 'order': 1}, {'src_id': 'MAN V FAT SOCCER LEAGUE', 'tgt_id': 'MARCUS FARNSWORTH', 'description': 'Marcus Farnsworth is a player in the Man v Fat soccer league.', 'weight': 1.0, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)Roger Federer thinks the professional tennis circuit won\\'t return for a while due to the coronavirus pandemic but, when the time does come, the Swiss superstar said he would find it difficult to play without fans. While European football\\'s Bundesliga resurfaced last week behind closed doors and Spain\\'s La Liga is set to resume the middle of next month, the last official word from tennis authorities essentially saw all action suspended through July. The hiatus began in March, with Federer already sidelined since he was recuperating from knee surgery. Sunday would have marked the first day of the French Open in its usual spot on the tennis calendar -- in March, though, it was rescheduled for September -- and another grand slam, Wimbledon in July, was called off. \"I\\'m not training at the moment because I don\\'t see a reason for that to be honest,\" Federer told three-time French Open champion Gustavo Kuerten -- who is raising funds for coronavirus relief efforts in his native Brazil -- in a video interview reported by Tennis.com.Read More\"I am happy with my body now and I still believe that the return of the tour\\xa0is a long way off,\" continued the 38-year-old. \"And I think it\\'s important\\xa0mentally to enjoy this break, having played so much tennis.\\xa0\"When I\\'m getting towards returning and have a goal to train for, I think I will be super motivated.\"We should be sliding into @rolandgarros right now, thinking of our mates in Paris 👋 pic.twitter.com/0PLKryyIjj— #AusOpen (@AustralianOpen) May 24, 2020 Federer is arguably tennis\\' best supported player ever, and the prospect of competing without spectators doesn\\'t appeal to him. \"Most of the time when we are training, there is no one,\" said the men\\'s record 20-time grand slam champion. \"For us, of course, it is possible to play if there are no fans. But on the other hand, I really hope that the circuit can return as it normally is. \"And hold off till the time is appropriate, minimum\\xa0a third of the stadium or half full. But, for me, completely empty when playing big tournaments is very difficult.\"Federer has been active on social media during the lockdown, sparking a public discussion on the merging of the men\\'s and women\\'s tours with a tweet last month and embarking on a funny Instagram Live with tennis rival Rafael Nadal.Nadal, unlike Federer, has started practicing, though only very recently. The Spaniard would have been favored to win a 20th major and tie Federer had the French Open been played as usual given he has collected a record 12 titles at Roland Garros. Here I am, the first pictures I am posting for you on court. This is my practice earlier today at @rnadalacademy #BackOnCourt #BabolatFamily 🎾👍🏻💪🏻😉 pic.twitter.com/x7tzgLj9pc— Rafa Nadal (@RafaelNadal) May 22, 2020 The next grand slam is scheduled to be late August\\'s US Open in New York, with organizers expected to announce in June if it will go ahead.  ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We identify the entities in the text based on the provided entity types and then determine the relationships between these entities. We focus on key entities such as Roger Federer, Rafael Nadal, French Open, and Wimbledon, and their interactions and associations within the context of the text. We also consider the relationships between these entities and other relevant entities like the coronavirus pandemic and the tennis circuit.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Roger Federer\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Swiss professional tennis player, considered one of the greatest of all time.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Rafael Nadal\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Spanish professional tennis player, known for his dominance on clay courts.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"French Open\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A major tennis tournament held over two weeks between late May and early June.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Wimbledon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A major tennis tournament held at the All England Club in Wimbledon, London, every year.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"coronavirus pandemic\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A global outbreak of a novel coronavirus that has led to significant disruptions worldwide.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Roger Federer\",\\n\\n\"tgt_id\": \"French Open\",\\n\\n\"description\": \"Roger Federer discusses the impact of the coronavirus pandemic on the French Open\\'s schedule.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Roger Federer\",\\n\\n\"tgt_id\": \"Wimbledon\",\\n\\n\"description\": \"Roger Federer mentions the cancellation of Wimbledon due to the coronavirus pandemic.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Roger Federer\",\\n\\n\"tgt_id\": \"Rafael Nadal\",\\n\\n\"description\": \"Roger Federer and Rafael Nadal engage in social media interactions during the lockdown.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Rafael Nadal\",\\n\\n\"tgt_id\": \"French Open\",\\n\\n\"description\": \"Rafael Nadal is expected to compete in the French Open, a tournament he has won multiple times.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"coronavirus pandemic\",\\n\\n\"tgt_id\": \"French Open\",\\n\\n\"description\": \"The coronavirus pandemic has caused the French Open to be rescheduled.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"coronavirus pandemic\",\\n\\n\"tgt_id\": \"Wimbledon\",\\n\\n\"description\": \"The coronavirus pandemic has led to the cancellation of Wimbledon.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'London (CNN)Top archbishops in the Church of England have apologized for guidance issued by the church last week that said only married heterosexuals should have sex -- while same-sex or heterosexual Christians in civil partnerships should remain abstinent. Archbishop of Canterbury Justin Welby and Archbishop of York John Sentamu said in a statement Thursday that they took responsibility for last week\\'s announcement, \"which we acknowledge has jeopardized trust.\" \"We are very sorry and recognize the division and hurt this has caused,\" Welby and Sentamu wrote.The statement stopped short of retracting the \"pastoral guidance\" issued by the bishops of the Church of England, which was in response to the extension of civil partnerships to heterosexual couples in the UK.Church of England backs climate-friendly stock index that excludes BP and Exxon MobilThe guidance, published January 22, said \"for Christians, marriage -- that is the lifelong union between a man and a woman, contracted with the making of vows -- remains the proper context for sexual activity.\"Read MoreWhen it comes to civil partnerships, the church sought \"to affirm the value of committed, sexually abstinent friendships.\" It highlighted division between conservatives -- who want the church to stick to a traditional biblical teachings on marriage -- and the church\\'s progressive members. The guidance was described as \"a laughingstock to a nation that believes it (the church) is obsessed with sex,\" in an open letter to the archbishops. The letter, signed by more than 3,000 people, including dozens of members of the clergy, said the bishops\\' guidance \"has significantly damaged the mission of the church and it has broken the trust of those it seeks to serve.\"It goes on to express dismay that a public pronouncement on sex and marriage was made while the church was still undergoing a review of of the issue, called the \"Living in Love and Faith\" project. The letter said its signatories had not expected an announcement on the matter until the project\\'s report was published. \"It seems our trust has been misplaced and we feel badly let down.\" ', 'entities': [{'entity_name': 'LONDON', 'entity_type': 'LOCATION', 'description': 'The capital city of the United Kingdom, mentioned as the location of the news source.', 'importance_score': 0.8}, {'entity_name': 'JUSTIN WELBY', 'entity_type': 'PERSON', 'description': \"The Archbishop of Canterbury, who apologized for the church's guidance on sexual activity.\", 'importance_score': 0.9}, {'entity_name': 'JOHN SENTAMU', 'entity_type': 'PERSON', 'description': \"The Archbishop of York, who also apologized for the church's guidance on sexual activity.\", 'importance_score': 0.9}, {'entity_name': 'CHURCH OF ENGLAND', 'entity_type': 'ORGANIZATION', 'description': 'The established church of England, which issued controversial guidance on sexual activity.', 'importance_score': 0.9}, {'entity_name': 'JANUARY 22', 'entity_type': 'DATE', 'description': 'The date when the pastoral guidance was published by the Church of England.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'JUSTIN WELBY', 'tgt_id': 'CHURCH OF ENGLAND', 'description': \"Justin Welby, as the Archbishop of Canterbury, is responsible for the Church of England's guidance on sexual activity.\", 'weight': 0.9, 'order': 1}, {'src_id': 'JOHN SENTAMU', 'tgt_id': 'CHURCH OF ENGLAND', 'description': \"John Sentamu, as the Archbishop of York, is responsible for the Church of England's guidance on sexual activity.\", 'weight': 0.9, 'order': 1}, {'src_id': 'CHURCH OF ENGLAND', 'tgt_id': 'JUSTIN WELBY', 'description': 'The Church of England issued guidance on sexual activity under the leadership of Justin Welby.', 'weight': 0.9, 'order': 1}, {'src_id': 'CHURCH OF ENGLAND', 'tgt_id': 'JOHN SENTAMU', 'description': 'The Church of England issued guidance on sexual activity under the leadership of John Sentamu.', 'weight': 0.9, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)This weekend either Lewis Hamilton or Max Verstappen will be crowned the Formula One world champion. Either way, the sport won big in 2021. This year\\'s success starts with a boom in the sport\\'s fanbase that can be pinned to Netflix\\'s \"Drive to Survive\" docuseries. The show is a crash course on the 10 teams, the 20 drivers, the rivalries between them and the race competition structure. A word-of-mouth campaign for the series along with short, easy viewing episodes made it a perfect pandemic-time binge watch for millions around the world.The series\\' intimate interviews combined with the best action from races and the high level drama is a strong pitch for the real-life spectacle of Formula One.The multifaceted storytelling lets fans focus on the aspects of the sport that most appeal to them. And most importantly, \"Drive to Survive\" primed fans for an easy transition to the track when the 2021 season started.Read MoreThe popularity of the Netflix program, notably in the US, has paid dividends. ESPN says its race viewership in 2021 is up 56% over 2020. There was record attendance at the US Grand Prix in Austin this October -- drivers also credit the docuseries for the sport\\'s growth, including Hamilton himself. READ: Title rivals wary of being on collision course in Abu Dhabi showdownMax Verstappen and Lewis Hamilton have created a thrilling title race. Title race enthralls New fans are important but getting them to stick with the sport is critical. This year\\'s constant action on the track anchored by the Hamilton-Verstappen title fight has satisfied the second part of that equation. Eyes across the globe will be on all 58 laps in Abu Dhabi on Sunday, the final race to determine who takes home the title. Up until the last lap, every second of the season has been and will be a nail biter.All the variables that brought the two drivers to tally the same exact score heading into the finale is what kept fans\\' attention throughout the season. Think Verstappen\\'s car perched on top of Hamilton\\'s after the crash in Monza or the smoke rising forebodingly from Hamilton\\'s brakes seconds before the restart in Baku. Verstappen\\'s car ended up on top of Hamilton\\'s at the Italian Grand Prix in September.The best racing is when the two are at it, wheel-to-wheel, like they were through the opening laps of the British Grand Prix.Sprint Qualifying, a format introduced to three weekends this season was seen across the community as a controversial addition to the sport. Despite that, it provided something new for fans who welcomed the extra racing.F1 still has improvements to make on several fronts that would make the sport and viewing experience more inclusive.There is still an obvious need for greater diversity behind the wheel and in the institution itself. The league\\'s first full-time driver from China, Guanyu Zhou, will be a much-welcomed addition to the track when he makes his debut next season. However, it is hard to ignore just how White and male dominated the sport is.JUST WATCHEDValtteri Bottas: F1 title race will go down to the wireReplayMore Videos ...MUST WATCHValtteri Bottas: F1 title race will go down to the wire 04:17The FIA, the governing body of the sport, also has some work to do to make rules more transparent and easier to follow. Commentators do their best to make sense of the calls being made by the stewards, but sometimes, even they are left scratching their heads -- driver and team penalties often seem totally arbitrary or ill-explained.Fan accessibility will remain a challenge. Part of that is built-in because F1 is a global sport with just over 20 events a year. Those constraints make attending a race weekend expensive. For American fans eager to make it to a race, there is some good news: a race in Miami next season means two races in the US for the first time since 1984.After the exciting culmination of this season comes the anticipation for the next, with new car designs and some changes in the driver lineup. Season four of \"Drive to Survive\" is imminent too. All of that adds up to a feeling that there is so much more to come from the sport. ', 'entities': [{'entity_name': 'LEWIS HAMILTON', 'entity_type': 'PERSON', 'description': 'A Formula One driver who is competing for the world championship.', 'importance_score': 0.9}, {'entity_name': 'MAX VERSTAPPEN', 'entity_type': 'PERSON', 'description': 'A Formula One driver who is competing for the world championship.', 'importance_score': 0.9}, {'entity_name': 'FORMULA ONE', 'entity_type': 'SPORT', 'description': 'A high-profile motor racing sport.', 'importance_score': 0.8}, {'entity_name': 'NETFLIX', 'entity_type': 'ORGANIZATION', 'description': \"A streaming service that produced the 'Drive to Survive' docuseries.\", 'importance_score': 0.7}, {'entity_name': 'DRIVE TO SURVIVE', 'entity_type': 'TV_SHOW', 'description': 'A docuseries on Netflix that focuses on Formula One.', 'importance_score': 0.8}, {'entity_name': 'ESPN', 'entity_type': 'ORGANIZATION', 'description': 'A sports broadcasting network.', 'importance_score': 0.6}, {'entity_name': 'US GRAND PRIX', 'entity_type': 'EVENT', 'description': 'A Formula One race event held in Austin, Texas.', 'importance_score': 0.7}, {'entity_name': 'ABU DHABI', 'entity_type': 'LOCATION', 'description': 'The location of the final race to determine the Formula One world champion.', 'importance_score': 0.6}, {'entity_name': 'GUANYU ZHOU', 'entity_type': 'PERSON', 'description': 'The first full-time driver from China in Formula One.', 'importance_score': 0.5}, {'entity_name': 'FIA', 'entity_type': 'ORGANIZATION', 'description': 'The governing body of Formula One.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'LEWIS HAMILTON', 'tgt_id': 'MAX VERSTAPPEN', 'description': 'Lewis Hamilton and Max Verstappen are competing for the Formula One world championship.', 'weight': 0.9, 'order': 1}, {'src_id': 'DRIVE TO SURVIVE', 'tgt_id': 'FORMULA ONE', 'description': \"The 'Drive to Survive' docuseries on Netflix has increased the popularity of Formula One.\", 'weight': 0.8, 'order': 1}, {'src_id': 'ESPN', 'tgt_id': 'FORMULA ONE', 'description': 'ESPN has reported a 56% increase in race viewership for Formula One in 2021.', 'weight': 0.7, 'order': 1}, {'src_id': 'US GRAND PRIX', 'tgt_id': 'FORMULA ONE', 'description': 'The US Grand Prix is a significant event in the Formula One calendar.', 'weight': 0.7, 'order': 1}, {'src_id': 'ABU DHABI', 'tgt_id': 'FORMULA ONE', 'description': 'The final race of the Formula One season is held in Abu Dhabi.', 'weight': 0.6, 'order': 1}, {'src_id': 'GUANYU ZHOU', 'tgt_id': 'FORMULA ONE', 'description': 'Guanyu Zhou is the first full-time driver from China in Formula One.', 'weight': 0.5, 'order': 1}, {'src_id': 'FIA', 'tgt_id': 'FORMULA ONE', 'description': 'The FIA is the governing body of Formula One.', 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)A federal jury has awarded $85 million to the family of a California man who died in 2015 after a confrontation with San Diego County sheriff\\'s deputies, court records show.The jury\\'s verdict came in a negligence and wrongful death lawsuit filed by the family of Lucky Phounsy against the county and sheriffs.\"What we asked the jury for is to return a verdict that reflected the truth about his death and that reflected justice for what was taken from this family,\" said Tim Scott, an attorney for the family, according to CNN affiliate KGTV. \"We think that the jury verdict did deliver both truth and justice.\"The San Diego County Sheriff\\'s Department plans to meet with its legal representatives to \"evaluate the verdict further,\" according to a statement.\"As always, our ultimate goal is to provide exceptional law enforcement services in San Diego County,\" the statement said.Read MoreRecently unsealed video shows California man screaming \\'I can\\'t breathe\\' before dying in police custody after 2020 traffic stopOn April 13, 2015, Phounsy, 32, \"began experiencing symptoms of a mental health crisis\" and called 911 \"to report that unknown assailants were trying to harm him,\" according to the complaint filed on behalf of Phounsy\\'s two children, wife, and mother.Sheriff\\'s deputies who responded to the call \"were unnecessarily confrontational, aggressive, and profane,\" the lawsuit claimed. After deputies attempted to handcuff him, \"Lucky became frightened and confused\" before an altercation with one of the deputies, the lawsuit says.Deputies, emergency medical technicians and paramedics used a Taser on Phounsy and hog-tied him, and on the way to the hospital paramedics put a sock over his face, according to the lawsuit. According to an incident summary in court documents, the two responding deputies called for back-up units \"while they were being assaulted and injured by Phounsy.\" Both deputies were injured in the altercation, one of them severely, according to the summary.Phounsy was treated in a local hospital and died a few days later, the complaint said.The federal jury found the deputies used excessive force against Phounsy, weren\\'t trained properly, violated Phounsy\\'s civil rights, and were negligent in their duties -- all of which led to his wrongful death, according to court records.Phounsy\\'s family was awarded $5 million for the pain and suffering he experienced -- $2 million for suffering endured before he was placed into an ambulance, and $3 million for suffering endured before his death -- as well as $80 million for their loss of his love, companionship and more, court records show.CNN\\'s Theresa Waldrop contributed to this report. ', 'entities': [{'entity_name': 'LUCKY PHOUNSY', 'entity_type': 'PERSON', 'description': \"A California man who died in 2015 after a confrontation with San Diego County sheriff's deputies.\", 'importance_score': 1.0}, {'entity_name': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'entity_type': 'ORGANIZATION', 'description': 'The law enforcement agency involved in the confrontation with Lucky Phounsy.', 'importance_score': 0.9}, {'entity_name': 'APRIL 13, 2015', 'entity_type': 'DATE', 'description': 'The date when Lucky Phounsy began experiencing symptoms of a mental health crisis and called 911.', 'importance_score': 0.8}, {'entity_name': '$85 MILLION', 'entity_type': 'MONEY', 'description': \"The amount awarded to Lucky Phounsy's family by the federal jury.\", 'importance_score': 0.9}], 'relationships': [{'src_id': 'LUCKY PHOUNSY', 'tgt_id': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'description': \"Lucky Phounsy had a confrontation with deputies from the San Diego County Sheriff's Department, leading to his death.\", 'weight': 1.0, 'order': 1}, {'src_id': \"SAN DIEGO COUNTY SHERIFF'S DEPARTMENT\", 'tgt_id': 'LUCKY PHOUNSY', 'description': \"The San Diego County Sheriff's Department was found to have used excessive force against Lucky Phounsy.\", 'weight': 0.9, 'order': 1}, {'src_id': 'LUCKY PHOUNSY', 'tgt_id': 'APRIL 13, 2015', 'description': 'Lucky Phounsy began experiencing symptoms of a mental health crisis on April 13, 2015.', 'weight': 0.8, 'order': 1}, {'src_id': 'LUCKY PHOUNSY', 'tgt_id': '$85 MILLION', 'description': \"The federal jury awarded $85 million to Lucky Phounsy's family.\", 'weight': 0.9, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': \"Story highlightsBarcelona fourth title in five seasons not yet confirmed after 2-2 draw at BilbaoReal Madrid beat city rivals Atletico 2-1 in Madrid derby Napoli close gap on Juventus to eight points after 3-0 win at PescaraBarcelona will have to wait at least one more week to wrap up a fourth La Liga title in five seasons after they could only draw 2-2 against Athletic Bilbao on Saturday. The Catalans needed to win their match and hope Real Madrid lost their derby game against Atletico to guarantee the title, but neither result transpired -- Real beat their city rivals 2-1 to reduce the arrears to 11 points. Having been on the receiving end of a Champions League mauling at the hands of Bayern Munich in midweek, Barcelona's weekend got off to an equally dismal start as Bilbao took the lead in the 27th minute when Markel Susaeta scored from close range. Lionel Messi came off the bench to steer Barca back into the match, levelling the scores with another sublime individual effort in the 67th minute -- his 44th in 33 league games -- before Alexis Sanchez made it 2-1 three minutes later.Blog: Does responsibility come with superstar status?Another win seemed assured until the 90th minute when Ander Herrera scored for the home side, guiding the ball past Victor Valdes.JUST WATCHEDCNN Football Club: German giants riseReplayMore Videos ...MUST WATCHCNN Football Club: German giants rise 22:54JUST WATCHEDDo Bayern Munich need Pep Guardiola?ReplayMore Videos ...MUST WATCHDo Bayern Munich need Pep Guardiola? 01:28JUST WATCHEDFerrer: Spain can win 2014 World CupReplayMore Videos ...MUST WATCHFerrer: Spain can win 2014 World Cup 02:28Real also conceded first in the match against their city rivals at the Vicente Calderon -- Radamel Falcao opening the scoring in the fourth minute.But the lead only lasted nine minutes as defender Juanfran deflected an Angel di Maria free kick into his own net. Di Maria was on hand again in the second half latching onto to a pass from Karim Benzema in the 62nd minute before firing home the winner past Belgian goalkeeper Thibaut Courtois. Atletico remain in third, 13 points ahead of fourth-place Real Sociedad who can close the gap if they beat Valencia on Sunday. In Saturday's other matches, Celta Vigo beat Levante 1-0 while Zaragoza moved off the bottom of the table after beating fellow strugglers Mallorca 3-2.Meanwhile in Serie A, second-place Napoli reduced the arrears with Juventus to eight points after a 3-0 win at bottom side Pescara. Udinese's 1-0 win over Cagliari sees them move up to fifth place, four points behind Fiorentina, who travel to Sampdoria on Sunday. Atalanta and Bologna played out a 1-1 draw.   Leaders Juventus travel to Torino on Sunday while third place AC Milan host Catania.\", 'entities': [{'entity_name': 'BARCELONA', 'entity_type': 'ORGANIZATION', 'description': 'A football club that is trying to secure a fourth La Liga title in five seasons.', 'importance_score': 0.9}, {'entity_name': 'REAL MADRID', 'entity_type': 'ORGANIZATION', 'description': 'A football club that beat their city rivals Atletico in a derby game.', 'importance_score': 0.8}, {'entity_name': 'ATLETICO MADRID', 'entity_type': 'ORGANIZATION', 'description': 'A football club that lost to Real Madrid in a derby game.', 'importance_score': 0.7}, {'entity_name': 'NAPOLI', 'entity_type': 'ORGANIZATION', 'description': 'A football club that reduced the gap with Juventus to eight points after a 3-0 win.', 'importance_score': 0.6}, {'entity_name': 'JUVENTUS', 'entity_type': 'ORGANIZATION', 'description': 'A football club that leads Serie A and has an eight-point gap over Napoli.', 'importance_score': 0.7}, {'entity_name': 'LIONEL MESSI', 'entity_type': 'PERSON', 'description': 'A football player who scored for Barcelona in their match against Athletic Bilbao.', 'importance_score': 0.9}, {'entity_name': 'MARKEL SUSAETA', 'entity_type': 'PERSON', 'description': 'A football player who scored for Athletic Bilbao in their match against Barcelona.', 'importance_score': 0.6}, {'entity_name': 'ATHLETIC BILBAO', 'entity_type': 'ORGANIZATION', 'description': 'A football club that drew 2-2 against Barcelona.', 'importance_score': 0.7}, {'entity_name': 'PESCARA', 'entity_type': 'ORGANIZATION', 'description': 'A football club that lost 3-0 to Napoli.', 'importance_score': 0.5}], 'relationships': [{'src_id': 'BARCELONA', 'tgt_id': 'ATHLETIC BILBAO', 'description': 'Barcelona drew 2-2 against Athletic Bilbao in a La Liga match.', 'weight': 0.8, 'order': 1}, {'src_id': 'REAL MADRID', 'tgt_id': 'ATLETICO MADRID', 'description': 'Real Madrid beat Atletico Madrid 2-1 in a derby game.', 'weight': 0.9, 'order': 1}, {'src_id': 'NAPOLI', 'tgt_id': 'PESCARA', 'description': 'Napoli won 3-0 against Pescara in a Serie A match.', 'weight': 0.7, 'order': 1}, {'src_id': 'BARCELONA', 'tgt_id': 'REAL MADRID', 'description': \"Barcelona's title hopes were affected by Real Madrid's win over Atletico Madrid.\", 'weight': 0.7, 'order': 2}, {'src_id': 'JUVENTUS', 'tgt_id': 'NAPOLI', 'description': \"Juventus' lead in Serie A was reduced to eight points by Napoli's win over Pescara.\", 'weight': 0.6, 'order': 2}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': 'Story highlightsThe Man v Fat soccer league is exclusively for men with a body mass index of 30 or moreThe league helps players lose weight, but it also gives them a built-in support group (CNN)After reviewing restaurants for years, Andrew Shanahan became obese and was looking for a way to lose weight.But it wasn\\'t easy to find a program tailored to men. Every time he tried joining a weight-loss group, he was the only man in the room. \"I wondered how many other men felt that there was something missing and who weren\\'t getting the support that you desperately need when you\\'re trying to lose weight,\" he said.So in 2014, with the help of a crowdfunding campaign, Shanahan launched his Man v Fat initiative to reach out to other men like him. The idea drew attention from celebrities such as chef Jamie Oliver, and Shanahan was encouraged to write a book on it the next year. Being based in England, a soccer league seemed like a natural outreach program. And Shanahan received nearly 1,000 applications for 80 spots in the inaugural league, which was created exclusively for men with a body mass index of 30 or more.Read MorePhotographer Simone PerolariMany of the men used to play soccer -- or as it\\'s called in most of the world, football -- but their weight had become an obstacle in pursuing the sport they love.\"I saw people who want to have fun and slim down and believe in what they do,\" said Simone Perolari, who photographed the league and whose images can be seen in the gallery above. \"There is not a space for them in classic football, but some of them are really good players.\"Rob Bird, 40, read about the league in the Birmingham Mail. He played the sport until he was 25, and he calls the 15 years after that the \"fat years\" when he didn\\'t feel comfortable playing. \"I\\'ve always loved football, but playing against \\'normal-size\\' guys left me feeling like I couldn\\'t compete as they were faster,\" Bird said. \"(This league) is a level playing field for bigger guys.\" Shanahan isn\\'t sure what he was expecting to result from the league\\'s first season, but the competitiveness of the players surprised him. \"For a long time they haven\\'t had a level playing field to compete on, so they are all determined to give it everything they have,\" he said. \"Fortunately, even those teams who lose can see that the benefits of losing weight and getting healthy more than make up for not topping the league.\"Social mediaFollow @CNNPhotos on Twitter to join the conversation about photography.Shanahan watched bonds form between the men as they enjoyed their favorite sport and supported one another in their goals to get fit and healthy. After 14 weeks, the 80 team members collectively lost 1,727 pounds, with the average weight loss close to 22 pounds per player. Marcus Farnsworth lost more than 70 pounds and is enjoying the energy boost he\\'s received in return. He hopes it will help with his knees and back as he continues to lose weight. But he also enjoyed the togetherness and support of the guys around him. \"It gives you good motivation if one person is feeling hungry or thinking about snacking,\" Farnsworth said. \"We can give advice and communicate through our WhatsApp group for support.\"Bird has dropped nearly 60 pounds and is now down to 210. His gout and leg ulcer have improved \"immeasurably.\"Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.Rob Bird, a player in the Man v Fat soccer league\"I feel a million times better,\" Bird said. \"This has given me the confidence that if you are making the right choices, you will feel better for it. Being around other guys who struggled with weight fostered a great spirit amongst us of being in it together and sharing our knowledge and experience without any judging or snide comments.\"Shanahan is expanding the league across the rest of the United Kingdom beginning in July, and he hopes to start similar leagues in the United States and other countries. \"We saw a lot of health improvements, whether it was guys curing their sleep apnea, reversing their diabetes or lowering their blood pressure,\" Shanahan said. \"The other really notable thing was how much many of the players grew in confidence. \"I think it\\'s a great thing to undertake a project with other people who desperately want the same thing. It gives you energy and impetus. Working with the guys has been one of the greatest privileges of my career. To share in their excitement and to witness their achievements has been amazing.\"Simone Perolari is an Italian photographer based in Paris. You can follow him on Facebook and Instagram.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and dependencies within the context of the text.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Man v Fat soccer league\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A soccer league exclusively for men with a body mass index of 30 or more, designed to help them lose weight and provide a support group.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Andrew Shanahan\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A man who became obese after reviewing restaurants for years and later founded the Man v Fat initiative.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Simone Perolari\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"An Italian photographer based in Paris who photographed the Man v Fat soccer league.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Rob Bird\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A 40-year-old man who played soccer until he was 25 and later joined the Man v Fat soccer league.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Marcus Farnsworth\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A participant in the Man v Fat soccer league who lost more than 70 pounds.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Jamie Oliver\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A celebrity chef who supported the Man v Fat initiative.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"England\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The country where the Man v Fat soccer league was initially launched.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"CNN\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A news organization that reported on the Man v Fat soccer league.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Andrew Shanahan\",\\n\\n\"tgt_id\": \"Man v Fat soccer league\",\\n\\n\"description\": \"Andrew Shanahan founded the Man v Fat soccer league.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"Simone Perolari\",\\n\\n\"description\": \"Simone Perolari photographed the Man v Fat soccer league.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"Rob Bird\",\\n\\n\"description\": \"Rob Bird joined the Man v Fat soccer league.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"Marcus Farnsworth\",\\n\\n\"description\": \"Marcus Farnsworth participated in the Man v Fat soccer league.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Andrew Shanahan\",\\n\\n\"tgt_id\": \"Jamie Oliver\",\\n\\n\"description\": \"Jamie Oliver supported the Man v Fat initiative founded by Andrew Shanahan.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"England\",\\n\\n\"description\": \"The Man v Fat soccer league was initially launched in England.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Man v Fat soccer league\",\\n\\n\"tgt_id\": \"CNN\",\\n\\n\"description\": \"CNN reported on the Man v Fat soccer league.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'Story highlightsJerry Collins killed with his partner in car crash in France Former All Black played 48 tests for national team  (CNN)New Zealand rugby star Jerry Collins and his partner, Alana Madill, have been killed in a car crash in France.The accident has orphaned the couple\\'s three-month-old baby daughter, Ayla, who is in critical condition in hospital.Collins\\' long-term manager Tim Castle issued a statement on behalf of the former All Black\\'s family which said they were \"distraught at the death of a much-loved son, brother and friend, and his partner Alana.\"\"I have been in touch with Jerry\\'s father Frank and other members of his family who are in Samoa at the moment,\" Castle said.\"It\\'s obviously a terribly difficult time for them and together with New Zealand Rugby we are doing all we can to support them.\"New Zealand Rugby has tonight expressed its shock and sadness at the death of former All Black Jerry Collins: http://t.co/dglpszVe3v— All Blacks (@AllBlacks) June 5, 2015\\n Read MoreBorn in Samoa, the 34-year-old loose forward made his Super Rugby debut with the Hurricanes and then the All Blacks, New Zealand\\'s national team, in 2001, according to the team\\'s website.He played 74 games for the Hurrricanes and 50 for the All Blacks, including 48 tests, before retiring after the 2007 Rugby World Cup.Collins left New Zealand in 2008 to play rugby in Japan and France, where he signed with the Narbonne club earlier this year.Tributes flowed in from the rugby world and beyond. \"Jerry Collins is an undisputed legend of the game,\" said Greg Peters, the chief executive of SANZAR -- South Africa, New Zealand and Australia Rugby.\"He inspired all of those around him with his passion and love for the game throughout a highly decorated career for club and country.\"Australian Rugby Union chief executive Bill Pulver praised him as \"right up there with the all-time great players to wear the All Black jersey.\"We plan to go out there tonight and honour the hell out of Hurricane No. 82. RIP Jerry, you will always be a huge part of the Canes legacy.— Hurricanes Rugby (@Hurricanesrugby) June 5, 2015\\nThere will be a moment\\'s silence prior to kick-off in Napier this evening in honour of Jerry Collins #SuperRugby #HURvHIG— Alistair Hogg (@AlistairSANZAR) June 5, 2015\\nNew Zealand Rugby has tonight expressed its shock and sadness at the death of former All Black Jerry Collins: http://t.co/dglpszVe3v— All Blacks (@AllBlacks) June 5, 2015\\nVery sad news. Notably one of the toughest opponents I had the pleasure playing against. RIP Jerry Collins #AllBlackLegend 👊— Kurtley Beale (@kurtley_beale) June 5, 2015\\n Unbelievably tragic news to wake up to about Jerry Collins and his wife. Lucky enough to play against and with him. Great bloke and player— Adam Jones (@adamjones3) June 5, 2015\\n', 'entities': [{'entity_name': 'JERRY COLLINS', 'entity_type': 'PERSON', 'description': 'New Zealand rugby star who was killed in a car crash in France.', 'importance_score': 1.0}, {'entity_name': 'ALANA MADILL', 'entity_type': 'PERSON', 'description': 'Partner of Jerry Collins who was also killed in the car crash in France.', 'importance_score': 0.9}, {'entity_name': 'AYLA', 'entity_type': 'PERSON', 'description': 'Three-month-old baby daughter of Jerry Collins and Alana Madill, orphaned by the car crash and in critical condition in hospital.', 'importance_score': 0.8}, {'entity_name': 'TIM CASTLE', 'entity_type': 'PERSON', 'description': 'Long-term manager of Jerry Collins who issued a statement on behalf of the family.', 'importance_score': 0.7}, {'entity_name': 'FRANK', 'entity_type': 'PERSON', 'description': 'Father of Jerry Collins who is in Samoa at the moment.', 'importance_score': 0.6}, {'entity_name': 'NEW ZEALAND RUGBY', 'entity_type': 'ORGANIZATION', 'description': 'Organization that expressed shock and sadness at the death of Jerry Collins.', 'importance_score': 0.8}, {'entity_name': 'ALL BLACKS', 'entity_type': 'ORGANIZATION', 'description': \"New Zealand's national rugby team for which Jerry Collins played.\", 'importance_score': 0.9}, {'entity_name': 'HURRICANES', 'entity_type': 'ORGANIZATION', 'description': 'Rugby team with which Jerry Collins made his Super Rugby debut.', 'importance_score': 0.7}, {'entity_name': 'NARBONNE', 'entity_type': 'ORGANIZATION', 'description': 'Rugby club in France where Jerry Collins signed earlier this year.', 'importance_score': 0.6}, {'entity_name': 'FRANCE', 'entity_type': 'LOCATION', 'description': 'Country where the car crash occurred.', 'importance_score': 0.8}, {'entity_name': 'SAMOA', 'entity_type': 'LOCATION', 'description': \"Country where Jerry Collins' family is currently located.\", 'importance_score': 0.7}, {'entity_name': 'JUNE 5, 2015', 'entity_type': 'DATE', 'description': \"Date when the news of Jerry Collins' death was widely reported.\", 'importance_score': 0.6}], 'relationships': [{'src_id': 'JERRY COLLINS', 'tgt_id': 'ALANA MADILL', 'description': 'Jerry Collins and his partner Alana Madill were killed in a car crash in France.', 'weight': 1.0, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'AYLA', 'description': \"Jerry Collins' three-month-old baby daughter Ayla was orphaned by the car crash.\", 'weight': 0.9, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'TIM CASTLE', 'description': \"Tim Castle is Jerry Collins' long-term manager.\", 'weight': 0.8, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'FRANK', 'description': \"Frank is Jerry Collins' father.\", 'weight': 0.7, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'NEW ZEALAND RUGBY', 'description': 'New Zealand Rugby expressed shock and sadness at the death of Jerry Collins.', 'weight': 0.8, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'ALL BLACKS', 'description': \"Jerry Collins played for the All Blacks, New Zealand's national rugby team.\", 'weight': 0.9, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'HURRICANES', 'description': 'Jerry Collins made his Super Rugby debut with the Hurricanes.', 'weight': 0.7, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'NARBONNE', 'description': 'Jerry Collins signed with the Narbonne rugby club in France earlier this year.', 'weight': 0.6, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'FRANCE', 'description': 'Jerry Collins was killed in a car crash in France.', 'weight': 0.8, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'SAMOA', 'description': \"Jerry Collins' family is in Samoa at the moment.\", 'weight': 0.7, 'order': 1}, {'src_id': 'JERRY COLLINS', 'tgt_id': 'JUNE 5, 2015', 'description': \"The news of Jerry Collins' death was widely reported on June 5, 2015.\", 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'London (CNN)Anna says she did not want to break the UK\\'s Covid-19 lockdown rules.The 37-year-old has worked through the pandemic. Anna says she cleans an office building in London which is open but nearly empty, as most staff are working from home. It\\'s a job the Ecuadorean native has done for five years, after moving to the UK from Spain in 2013 while looking for work. CNN is not disclosing Anna\\'s real name as she fears repercussions from her employer. Anna\\'s employer insisted that she continue to clean the building during the pandemic but cut her hours from five a day to four. She earns £10.75 ($14.77) per hour.\"I have been forced to go to work in a nonessential building,\" she told CNN. \"There is no one at work, I\\'m alone.\"Read MoreLast month Anna caught Covid-19. She\\'s unsure where she picked it up from but said it was likely \"on the bus or on the Underground.\" She lives in south London in a shared house and says that at first the virus left her exhausted.The healthcare workers watching from afar as rich countries begin vaccine rollout \"I had a lot of coughs, fever, fatigue... and dizziness,\" she said. \"And I [am taking a long time to recover] because this disease is very painful [and] horrible.\"But after staying home for a few days as she recovered from the disease, Anna decided to go into work, as she was only receiving partial pay.UK government rules state that while recovering from Covid-19, patients should self-isolate for at least 10 full days. \"I only felt tired and [had] a headache,\" she said. \"That is why I went to work -- I also couldn\\'t afford to stay at home because I received very little salary.\"I feel guilty that I went to work and infected more people, [but] I had no other option.\"An illuminated motorway sign carries the \"Stay At Home\" message, on January 10 in Dunfermline, Scotland.Breaches of self-isolation rules are rampant across the UK. Up to 20,000 people a day are failing to stay home when instructed to, according to Dido Harding, who is in charge of the country\\'s coronavirus Test and Trace scheme. \"These numbers are moving a lot,\" Harding told a parliamentary committee this week, adding that \"circa 20,000 people a day\" were currently not isolating. Harding said she was also concerned about people who were experiencing symptoms but had avoided being tested. For the British government, the lack of compliance is a significant worry.\"My biggest concern is...the people who feel ill but don\\'t come forward for testing at all,\" Harding said. One popular stereotype paints lockdown breakers as young and irreverent people who insist on attending house parties and meeting friends. But experts say the picture is more nuanced. The British public strongly supports lockdown, according to a YouGov poll released in January. Those who are not abiding by the rules often cannot afford to do so.Covid destroyed lives spent together. Now those left behind must say farewell by Zoom\"There\\'s so much emphasis on people not breaking the rules, but the majority are actually following the rules,\" says Muge Cevik, a clinical lecturer in infectious diseases and medical virology at the University of St. Andrews in Scotland.Cevik and her colleagues recently published an article in the British Medical Journal urging the government to offer greater support to people self isolating. Their paper points to a successful test-and-care model in San Francisco, which helped people isolate by ensuring home deliveries of goods, among other measures. A similar scheme in New York, which allowed people to opt to isolate in hotels, is also singled out for praise in the article.\"In the majority of hospitalizations what we\\'re seeing is that the majority of infections are among key workers,\" Cevik told CNN. \"We\\'re seeing huge outbreaks in warehouses, meat-packing plants, care homes ... the only thing that combines these sectors are low-paid workers, likely to live in crowded houses.\"In September 2020, the UK government rolled out a new package to support those in self-isolation. Lower income earners having to stay home may be eligible for a payment of £500 if they face losing pay. The penalty for those breaching lockdowns also increased, with those caught now facing  £1,000 ($1,370) fines.\"This new Test and Trace Support payment of £500 will ensure that those on low incomes are able to self-isolate without worry about their finances,\" the UK government said in a statement in September.But the £500 payment comes with stringent requirements -- to be eligible people need to already receive some form of UK government benefit, such as universal credit, working tax credit or housing benefit. Earlier this week, a study published by the Trades Union Congress found that fewer than 40% of applications for the grant were successful. Harding acknowledged during her committee appearance that lack of financial support was one reason that people failed to isolate. Cevik and her colleagues believe more needs to be done, including offering those in crowded homes the chance to self-isolate in separate accommodation, to curb the virus\\' spread.\"If someone has tested positive, [then] at the time of testing, we could be asking them \\'do you have space to isolate? And do you get sick leave?\\'\" she says.\"These [resources] need to come as a package -- income relief, sick leave [and] accommodation is needed.\"Anna says she would \"of course\" have stayed home if she had been given more support.\"I would have stayed home from the first day,\" she told CNN. \"I felt bad, but ... low-wage workers had no choice.\"A digital display at a bus station warns pedestrians of the new strain of coronavirus in central London on January 8.\"I don\\'t blame people who are desperate, and [make that choice to work],\" says Yaseen Aslam, president of the ACDU, a union representing private hire and courier drivers in Britain.\"I know a driver who had to isolate four times in two months, How does that work?\" Aslam told CNN. \"The problem is, drivers are making at the moment £35 or £50 daily,\" he adds. \"The £500 [payment], yeah that\\'s good but the drivers are desperate.\"And when you\\'re in a desperate situation, you take risks. People are choosing between their life and just being out there.\"Uber, among other companies, has piloted a scheme to help protect drivers and passengers by installing partitions in 400 cars, as suggested by government guidelines. The pilot scheme was done in partnership with motoring assistance group, the AA, across Newcastle, Sunderland and Durham, in northern England. But outside the scheme, drivers must decide whether to pay to install the screens. But one driver,\\xa0who asked not to be named because he feared retribution from his employer,\\xa0said he and his peers were not installing the screens as they simply could not afford to.\"This is a pandemic,\" the man, who says he works as a driver in London, said. \"It\\'s not going to last forever -- why should I put that in if it\\'s not going to last forever?\"Aslam also works with the International Alliance of App-Based Transport Workers, an organization that brings together private hire drivers worldwide.\"I work with drivers in France, Amsterdam, San Francisco [and so on,]\" he said. \"We\\'re seeing these problems across the world. But no one is trying to help us.\"2020 through the eyes of Europe\\'s \\'unseen\\' key workersEarly 2021 has been marked across Europe with an outburst of frustration against lockdowns, with protests being held across Austria, Hungary and the Netherlands. The Dutch demonstrations lasted for a few nights in late January and turned violent. Anti-lockdown protesters have also taken to the streets in the UK, most notably in multiple demonstrations in November 2020. Dozens of people have been arrested during the marches, at which some protesters have shared conspiracy theories about Covid-19.\"If people feel vulnerable, then they will comply with lockdown rules,\" Pamela Briggs, a professor of applied psychology at Northumbria University, told CNN. \"For those who feel less vulnerable, then compliance becomes more of a matter of civic duty.\"If you\\'re going to make sacrifices then you have to believe they\\'ll be effective,\" she adds. \"The problem comes when people can\\'t understand why they are being asked to do these things... if people feel the rules don\\'t make sense, they\\'re more likely to challenge them.\"Briggs believes that people need to believe their sacrifice in staying home is worth the personal cost. The UK\\'s three lockdowns have, to various extents, helped to curb rising cases.\"We could make people feel that their sacrifices are genuinely having an effect,\" Briggs said.\"There are ways to demonstrate the efficacy of lockdown and more should be done.\"One year into the Covid crisis, the UK government continues to use lockdowns as a last resort. Some good news awaits on the horizon -- cases are beginning to drop and the country\\'s vaccine rollout has been widely praised. What officials now face is the challenge of helping people stay home, in the face of overwhelming mental and financial fatigue.', 'entities': [{'entity_name': 'ANNA', 'entity_type': 'PERSON', 'description': 'A 37-year-old Ecuadorean native who cleans an office building in London during the pandemic.', 'importance_score': 0.9}, {'entity_name': 'UK', 'entity_type': 'LOCATION', 'description': 'The United Kingdom, where Anna moved from Spain in 2013 and currently lives.', 'importance_score': 0.8}, {'entity_name': 'LONDON', 'entity_type': 'LOCATION', 'description': 'A city in the UK where Anna works and lives.', 'importance_score': 0.7}, {'entity_name': 'COVID-19', 'entity_type': 'DISEASE', 'description': 'The disease that Anna caught and had to recover from.', 'importance_score': 0.9}, {'entity_name': 'CNN', 'entity_type': 'ORGANIZATION', 'description': 'The news organization that interviewed Anna and reported her story.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'ANNA', 'tgt_id': 'UK', 'description': 'Anna moved to the UK from Spain in 2013.', 'weight': 0.8, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'LONDON', 'description': 'Anna works and lives in London.', 'weight': 0.9, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'COVID-19', 'description': 'Anna caught Covid-19 and had to recover from it.', 'weight': 0.9, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'CNN', 'description': \"Anna's story was reported by CNN.\", 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsThe phone was auctioned Sunday by a Maryland auction house and was bought by phone bidderThe \"mobile device of destruction\" was recovered from Nazi leader\\'s bunker by British officer (CNN)Adolf Hitler\\'s telephone was sold at auction in the United States on Sunday for $243,000. The winning bid was made by phone but the name of the bidder has not been released.The phone was presented to Hitler by the Wehrmacht and was used by the Nazi leader to issue most of his commands during the last two years of World War II, according to a description in the catalog for Alexander Historical Auctions in Maryland.The phone was recovered from the Fuhrerbunker in 1945 and has been kept in a box in an English country house ever since. Made by Siemens as a black Bakelite phone, it was later painted red and engraved with Hitler\\'s name and a swastika, the catalog says.The auction house describes the telephone as \"Hitler\\'s mobile device of destruction\" and called it \"arguably the most destructive \\'weapon\\' of all time, which sent millions to their deaths around the world.\"Hitler\\'s name is engraved on the back of the phone, along with an eagle and swastika.Read MoreBritish officer Ralph Rayner recovered the phone from Hitler\\'s bunker while visiting Berlin on the orders of Field Marshall Bernard Montgomery just a few days after the end of the war, according to Rayner\\'s personal account and shipping documents from that time period, according to the auction house. His son Ranulf Rayner, 82, inherited the phone after his father\\'s death in 1977. \"My father didn\\'t see it as a relic of Hitler\\'s glory days, more a battered remnant of his defeat, a sort of war trophy,\" he told CNN. \"He never thought it would become an important artifact.\"Ralph Rayner would have been \"chuffed to bits\" that the phone has had so much attention, his son said.He had hoped the phone would fetch a larger sum, but he is happy to be able to say goodbye to it.\"I certainly won\\'t miss it,\" he told CNN. \"It\\'s a fairly sinister bit of kit and I\\'ve always lived in fear of someone trying to steal it. I\\'ve also been told it\\'ll bring me bad luck.\"Sent to the shattered German capital to establish contact with the Russian forces who had captured the city, Ralph Rayner was probably the very first non-Soviet victor to enter Hitler\\'s bunker.How Hitler\\'s \\'Mein Kampf\\' became a bestseller in 2016\"He could still smell burning flesh,\" Ranulf Rayner said, recalling his father\\'s description of the underground shelter where Hitler spent his final days. In his words, it was a \"dreadful hellhole.\" First offered the black telephone found in the room of Eva Braun, Hitler\\'s bride, Ralph Rayner instead chose the red phone next to Hitler\\'s bed. \"He told the Russians that red was his favorite color,\" Ranulf Rayner said, \"which the Russians rather liked.\"In a letter to his wife Elizabeth on May 18, 1945, Ralph Rayner wrote of the \"utter horror\" he witnessed in Berlin, but did not mention the remarkable souvenir he had in his possession.If British soldiers were caught looting from the Germans, Ranulf Rayner explained, they would face a court martial.Ralph Rayner returned to Devon in western England with both the phone and a porcelain model of an Alsatian, also taken from the bunker, hidden in his suitcase.Ralph Rayner also recovered a porcelain Alsatian from Hitler\\'s bunker.The china dog, made by slave laborers at Dachau concentration camp and probably presented to Hitler by Heinrich Himmler, SS chief and architect of the Final Solution, was also auctioned Sunday. It was bought by a different phone bidder for $24,300.Ranulf Rayner hopes these objects will end up in a museum one day. \"I don\\'t want them to be hidden again,\" he said. \"I want them to remind the world of the horrors of war.\"', 'entities': [{'entity_name': 'ADOLF HITLER', 'entity_type': 'PERSON', 'description': 'Nazi leader whose telephone was auctioned.', 'importance_score': 1.0}, {'entity_name': 'ALEXANDER HISTORICAL AUCTIONS', 'entity_type': 'ORGANIZATION', 'description': \"Maryland auction house that auctioned Adolf Hitler's telephone.\", 'importance_score': 0.8}, {'entity_name': 'FUHRERBUNKER', 'entity_type': 'LOCATION', 'description': \"Underground bunker where Adolf Hitler's telephone was recovered.\", 'importance_score': 0.7}, {'entity_name': 'RALPH RAYNER', 'entity_type': 'PERSON', 'description': \"British officer who recovered Adolf Hitler's telephone from the Fuhrerbunker.\", 'importance_score': 0.9}, {'entity_name': 'RANULF RAYNER', 'entity_type': 'PERSON', 'description': 'Son of Ralph Rayner, who inherited the telephone.', 'importance_score': 0.6}, {'entity_name': 'SIEMENS', 'entity_type': 'ORGANIZATION', 'description': \"Company that manufactured Adolf Hitler's telephone.\", 'importance_score': 0.5}], 'relationships': [{'src_id': 'ADOLF HITLER', 'tgt_id': 'ALEXANDER HISTORICAL AUCTIONS', 'description': \"Adolf Hitler's telephone was auctioned by Alexander Historical Auctions.\", 'weight': 0.9, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'FUHRERBUNKER', 'description': \"Adolf Hitler's telephone was recovered from the Fuhrerbunker.\", 'weight': 0.8, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'RALPH RAYNER', 'description': \"Ralph Rayner recovered Adolf Hitler's telephone from the Fuhrerbunker.\", 'weight': 0.9, 'order': 1}, {'src_id': 'RALPH RAYNER', 'tgt_id': 'RANULF RAYNER', 'description': 'Ranulf Rayner inherited the telephone from his father, Ralph Rayner.', 'weight': 0.7, 'order': 1}, {'src_id': 'ADOLF HITLER', 'tgt_id': 'SIEMENS', 'description': \"Adolf Hitler's telephone was manufactured by Siemens.\", 'weight': 0.6, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': 'Washington (CNN)President Donald Trump is seriously considering a plan to block $250 million in military assistance to Ukraine, a move that would further ingratiate him with Russian President Vladimir Putin, and has directed senior officials to review the aid package.Trump\\'s decision to order the review comes after the White House publicly lost a battle to slash foreign aid spending across the board. After scrapping the plan to slash $4 billion in foreign aid, Trump said his team would look to find cuts elsewhere in the aid budget.\"The President has made no secret when it comes to foreign assistance that US interests abroad should be prioritized and other foreign countries should also be paying their fair share,\" a senior administration official told CNN.Specifically, Trump has directed Defense Secretary Mark Esper and national security adviser John Bolton to oversee the process, the senior administration official said. The President has not yet made a final decision on whether to permanently block the funds, an administration official told CNN. The review process, however, has effectively paused disbursement of the funds, which are set to expire on September 30 if they are not used.Read MoreJames Mattis: \\'I had no choice but to leave\\' the Trump administrationThe Pentagon has already recommended to the White House that the hold on military assistance to Ukraine be lifted, an administration official and a US defense official told CNN Thursday. A Pentagon spokesperson declined to comment on the matter on Thursday.\"We do not publicly comment on internal budget deliberations. For further inquiries, I direct you to the White House Office of Management and Budget,\" said spokesperson Lt. Col. Carla Gleason.However the hold on the aid remains in place, as it is the White House\\'s call whether to lift it, the administration official said, fueling uncertainty within the administration about what will happen to the spending after the review is formally completed.In the meantime, agencies are authorized and encouraged to execute all processes to prepare for the obligation of those funds but must wait to obligate them until the policy review is complete and the President has made a final determination, the senior official said. Bipartisan angerIf Trump ultimately decides to block the aid package, a possibility first reported by Politico, it would likely prompt a bipartisan uproar from members of Congress who believe US military support is essential to countering Russia\\'s military involvement in Ukraine.Illinois Republican Rep. Adam Kinzinger, a member of the House Foreign Affairs Committee, voiced his strong opposition to that idea in a tweet Thursday: \"This is unacceptable. It was wrong when Obama failed to stand up to Putin in Ukraine, and it\\'s wrong now.\"Democratic Sen. Bob Menendez released a statement accusing the administration of circumventing Congress and \"undermining a key policy priority that has broad and deep bipartisan support.\"\"In willfully delaying these funds, the Trump Administration is once again trying to circumvent Congress\\' Constitutional prerogative of appropriating funds for U.S. government agencies. It is also undermining a key policy priority that has broad and deep bipartisan support,\" he said.\"Enough is enough. President Trump should stop worrying about disappointing Vladimir Putin and stand up for U.S. national security priorities,\" Menendez added.What will Trump do?Multiple sources familiar with the issue tell CNN that the President has floated the idea of halting the funding program for weeks. The White House has recently notified relevant agencies and congressional committees of its intent to block the aid to Ukraine, one source said.However, sources say that there are still questions about what Trump will ultimately do. Trump privately clashed with G7 leaders over reinviting PutinThe push to block the aid package has been supported by Trump\\'s acting chief of staff Mick Mulvaney but opposed by some within the State Department and national security council, according to another source. National security adviser John Bolton was in Kiev Wednesday, where he met with Ukrainian officials, but there is little indication he raised the possibility of blocking the funding.\"It was great to meet with my Ukrainian national security and defense colleagues in Kyiv. The discussions clearly show that we share a common commitment to preserving Ukraine\\'s security and sovereignty, and to ensuring it is not subject to Chinese economic exploitation,\" Bolton tweeted Wednesday. A US Department of State official told CNN on Thursday that the policy on Ukraine has not changed, adding the US remains committed to a robust partnership between the two countries. But Trump\\'s public deference to Putin and Russia has alarmed US allies and lawmakers. The issue has only been amplified by Trump\\'s recent comments at the G7 summit, in which he seemingly downplayed Russia\\'s military incursion in Ukraine and suggested that Russia be reinstated into the group of leading global economies.The US has provided Ukraine with more than $1 billion in security assistance since 2014 as it has sought to bolster the country\\'s military, which is facing an ongoing conflict with separatists in the country\\'s east, forces the Pentagon believes are backed, armed and even led by Moscow.In 2017, the Trump administration announced its decision to provide lethal anti-tank weapons, including US-made Javelin missiles, to Ukraine. \"Since 2014, there has been broad bipartisan support in the Senate for security assistance to Ukraine. If Trump\\'s OMB is really playing games with Ukrainian security assistance, then the response from Congress will be fierce. At the very least, Trump\\'s OMB should get out of the way and release the funds that Congress has already appropriated,\" a senior Democratic aide told CNN. Rep. Adam Schiff, the Democratic chairman of the House Intelligence Committee, tweeted Wednesday that such a move would be \"destructive to our national security\" and suggested that the decision is politically motivated. \"Trump is withholding vital military aid to Ukraine, while his personal lawyer seeks help from the Ukraine government to investigate his political opponent. It doesn\\'t take a stable genius to see the magnitude of this conflict. Or how destructive it is to our national security,\" Schiff wrote.Giuliani pushes for Biden investigationRudy Giuliani, who serves as Trump\\'s personal attorney, has long lobbied Ukraine to investigate former Vice President Joe Biden\\'s call in 2016 to remove the country\\'s top prosecutor, who at one point had been investigating a Ukrainian natural gas company connected to Biden\\'s son, Hunter.Last week, Giuliani said he had again raised the issue with a Ukrainian official, suggesting the former New York mayor is making a renewed push for the country to investigate Trump\\'s political enemies.Other Western governments also called for that prosecutor\\'s dismissal, and no evidence has indicated Biden\\'s move was inappropriate.Ukraine\\'s prosecutor general told Bloomberg in May he had no proof of wrongdoing by Biden or his son.Giuliani says he met with Ukrainian official to discuss BidenThe Biden campaign refused comment on Giuliani\\'s talks. The New York Times first reported Giuliani\\'s talks with the official. Asked Thursday if he\\'s spoken to the President at all about the military assistance to Ukraine, Giuliani told CNN: \"No, not in on it.\"Giuliani told CNN that the State Department informed him that Andriy Yermak, who he called the lawyer for Ukrainian President Volodymyr Zelensky, wanted to meet with him. Yermak was appointed as an aide to Zelensky in May, according to local media reports.The two spoke twice over the phone, with Yermak offering to come to the US to meet with Giuliani before the two agreed to meet in Madrid last month, Giuliani said.Giuliani claims that Yermak asked him questions and that he didn\\'t ask the Ukrainian lawyer to do anything because he \"didn\\'t need to.\" The focus of their conversation was on Biden\\'s possible role as then-vice president in the prosecutor\\'s dismissal and how Ukraine may have tried to damage Trump\\'s campaign, Giuliani said.The State Department confirmed last week that it had assisted in connecting Yermak and Giuliani.CNN\\'s Ryan Browne, Michael Warren and Pamela Brown contributed to this report.', 'entities': [{'entity_name': 'DONALD TRUMP', 'entity_type': 'PERSON', 'description': 'President of the United States, considering a plan to block military assistance to Ukraine.', 'importance_score': 1.0}, {'entity_name': 'VLADIMIR PUTIN', 'entity_type': 'PERSON', 'description': 'President of Russia, with whom Trump seeks to ingratiate himself.', 'importance_score': 0.9}, {'entity_name': 'UKRAINE', 'entity_type': 'LOCATION', 'description': 'Country receiving military assistance from the US, which Trump is considering blocking.', 'importance_score': 0.8}, {'entity_name': 'MARK ESPER', 'entity_type': 'PERSON', 'description': 'Defense Secretary overseeing the review of the aid package.', 'importance_score': 0.7}, {'entity_name': 'JOHN BOLTON', 'entity_type': 'PERSON', 'description': 'National security adviser involved in the review process.', 'importance_score': 0.7}, {'entity_name': 'PENTAGON', 'entity_type': 'ORGANIZATION', 'description': 'US Department recommending the lifting of the hold on military assistance to Ukraine.', 'importance_score': 0.6}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'Administration making the final decision on the aid package.', 'importance_score': 0.8}, {'entity_name': 'CONGRESS', 'entity_type': 'ORGANIZATION', 'description': 'Legislative body expressing bipartisan opposition to blocking the aid package.', 'importance_score': 0.7}, {'entity_name': 'ADAM KINZINGER', 'entity_type': 'PERSON', 'description': 'Republican Representative opposing the blocking of aid to Ukraine.', 'importance_score': 0.6}, {'entity_name': 'BOB MENENDEZ', 'entity_type': 'PERSON', 'description': \"Democratic Senator criticizing the administration's handling of the aid package.\", 'importance_score': 0.6}], 'relationships': [{'src_id': 'DONALD TRUMP', 'tgt_id': 'UKRAINE', 'description': 'Trump is considering blocking military assistance to Ukraine.', 'weight': 0.9, 'order': 1}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'VLADIMIR PUTIN', 'description': \"Trump's decision to block aid to Ukraine would ingratiate him with Putin.\", 'weight': 0.8, 'order': 2}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'MARK ESPER', 'description': 'Trump has directed Esper to oversee the review of the aid package.', 'weight': 0.7, 'order': 1}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'JOHN BOLTON', 'description': 'Trump has directed Bolton to oversee the review process.', 'weight': 0.7, 'order': 1}, {'src_id': 'PENTAGON', 'tgt_id': 'WHITE HOUSE', 'description': 'The Pentagon has recommended to the White House that the hold on military assistance to Ukraine be lifted.', 'weight': 0.6, 'order': 1}, {'src_id': 'CONGRESS', 'tgt_id': 'DONALD TRUMP', 'description': \"Congress is expressing bipartisan opposition to Trump's decision to block the aid package.\", 'weight': 0.7, 'order': 2}, {'src_id': 'ADAM KINZINGER', 'tgt_id': 'DONALD TRUMP', 'description': \"Kinzinger opposes Trump's idea of blocking aid to Ukraine.\", 'weight': 0.6, 'order': 2}, {'src_id': 'BOB MENENDEZ', 'tgt_id': 'DONALD TRUMP', 'description': \"Menendez criticizes the administration's handling of the aid package.\", 'weight': 0.6, 'order': 2}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': 'London (CNN)Prince Philip, the husband of Queen Elizabeth II, is being treated for an infection and is not expected to leave the hospital for several days, according to an update from Buckingham Palace on Tuesday.\"The Duke of Edinburgh remains at King Edward VII\\'s Hospital where he is receiving medical attention for an infection. He is comfortable and responding to treatment but is not expected to leave hospital for several days,\" the palace said in a statement.Prince Philip was taken to the hospital last Tuesday after \"feeling unwell,\" Buckingham Palace said.On Monday, his grandson, Prince William, said the 99-year-old was doing \"OK\" and hospital staff were \"keeping an eye on him.\"Queen Elizabeth and Duke of Edinburgh receive Covid-19 vaccinePrince William made the remarks during a visit to a vaccination center in Norfolk, England, on Monday.Read MoreOn Tuesday, Prince Philip\\'s youngest son, Prince Edward, told the UK\\'s Sky News that he recently spoke to his father, who is doing \"a lot better\" and is looking forward to returning home.Prince Edward said the family was still keeping their \"fingers crossed\" for his father.\"We\\'ve had some brilliant and lovely messages from all sorts of people. And we really appreciate that and so does he. I\\'ve been passing them on,\" said Prince Edward.Prince Philip, who turns 100 in June, stepped back from public life in 2017 and has been taken to the hospital several times in recent years. In December 2019, he received hospital treatment for a pre-existing condition.His latest admission was not an emergency, according to a royal source, who said he traveled to King Edward VII Hospital by car and walked in unaided. The source added that the illness was not Covid-19 related.Prince Philip and Queen Elizabeth have both received at least one dose of a Covid-19 vaccine.The couple spent most of the past year at Windsor Castle, having moved away from Buckingham Palace during the first wave of the Covid-19 pandemic in spring 2020. CNN\\'s Katharina Krebs contributed to this report.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Prince Philip\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The husband of Queen Elizabeth II, currently being treated for an infection at King Edward VII\\'s Hospital.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Queen Elizabeth II\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The wife of Prince Philip, who has received at least one dose of a Covid-19 vaccine.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"King Edward VII\\'s Hospital\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The hospital where Prince Philip is receiving treatment for an infection.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Buckingham Palace\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The official residence of the British monarch, where updates on Prince Philip\\'s condition are provided.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Prince William\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The grandson of Prince Philip, who visited a vaccination center in Norfolk and provided an update on his grandfather\\'s condition.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Prince Edward\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The youngest son of Prince Philip, who provided an update on his father\\'s condition to the UK\\'s Sky News.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Covid-19\",\\n\\n\"entity_type\": \"DISEASE\",\\n\\n\"description\": \"The disease that both Prince Philip and Queen Elizabeth II have received vaccines for.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Windsor Castle\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The residence where Prince Philip and Queen Elizabeth II spent most of the past year during the Covid-19 pandemic.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince Philip\",\\n\\n\"tgt_id\": \"Queen Elizabeth II\",\\n\\n\"description\": \"Prince Philip is the husband of Queen Elizabeth II.\",\\n\\n\"weight\": 1.0,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince Philip\",\\n\\n\"tgt_id\": \"King Edward VII\\'s Hospital\",\\n\\n\"description\": \"Prince Philip is being treated for an infection at King Edward VII\\'s Hospital.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince Philip\",\\n\\n\"tgt_id\": \"Covid-19\",\\n\\n\"description\": \"Prince Philip has received at least one dose of a Covid-19 vaccine.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Queen Elizabeth II\",\\n\\n\"tgt_id\": \"Covid-19\",\\n\\n\"description\": \"Queen Elizabeth II has received at least one dose of a Covid-19 vaccine.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince William\",\\n\\n\"tgt_id\": \"Prince Philip\",\\n\\n\"description\": \"Prince William is the grandson of Prince Philip and provided an update on his condition.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 2\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Prince Edward\",\\n\\n\"tgt_id\": \"Prince Philip\",\\n\\n\"description\": \"Prince Edward is the youngest son of Prince Philip and provided an update on his condition.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 2\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': ' Kubinka, Russia (CNN)A child plays on a war tank.People eat ice cream as they walk past weapons capable of destroying an entire continent. Tens of thousands fill a park full of Russia\\'s latest military weapons:Helicopters. Missiles. Tanks. Boats. Submarines. This is the Disneyland of Russia\\'s military. And right now in Russia, patriotism is in. Its President, Vladimir Putin, opened Patriot Park this week in the latest move to capitalize on the popularity in Russia of the country\\'s recent displays of military force.JUST WATCHEDMilitary \\'fun park\\' opens in RussiaReplayMore Videos ...MUST WATCHMilitary \\'fun park\\' opens in Russia 01:54Read MoreWe arrive after an hour\\'s drive from Russia\\'s capital city, Moscow. We park and take a bus into the main area where a huge exhibition of weapons and technology is on display.Most people here are families. A father is here with his son. \"Russia is unbeatable\" he says -- and he wants his son to learn it. The air of patriotism is palpable here. As people walk by in Putin T-shirts, we search for Putin souvenirs on sale. No luck.But we do find several shops run by the Russian army. They\\'re quite popular. The shops sell camouflage jackets, fleeces, things like that. And to be honest, they\\'re pretty stylish.It\\'s all part of the effort to keep the military cool -- and reach out to the young. It seems to be working.JUST WATCHEDWho is Vladimir Putin?ReplayMore Videos ...MUST WATCHWho is Vladimir Putin? 01:45Elsewhere there\\'s a massive line of people queuing up for free army food. For the price of a wait, you can get a dollop of buckwheat porridge. More traditional fare seems hard to come by, though there are a lot of ice cream stands. We finally find a restaurant and I order a kebab with rice.Patriotic music blares nonstop.A stage hosts different acts: an air force choir singing, funky dancers dressed as Russian soldiers.Some children perform, too.A few foreign military types walk around. A Saudi Arabian Navy officer says they normally buy weapons from Americans -- but they are interested in the innovation here. We see uniforms of Venezuela and Myanmar, too.The park itself is massive. Our photographer takes a bus to a different area where there are live demonstrations.Re-enactments of key Russian and Soviet battles are expected to be a regular part of the Patriot Park experience.Here in the exhibition area, we see a Buk missile launcher on prominent display. This type of weapon  is suspected of downing an airliner last year. MH17 crashed last July, killing 298 people on board.Children play happily on the weaponry and people seem to enjoy themselves. And yet there is something brazen, if not insensitive about the display. These are, after all, the tools of war -- killing machines really -- paraded as if they are toys and rides at an amusement park. ', 'entities': [{'entity_name': 'KUBINKA', 'entity_type': 'LOCATION', 'description': 'A location in Russia where the Patriot Park is situated.', 'importance_score': 0.8}, {'entity_name': 'RUSSIA', 'entity_type': 'LOCATION', 'description': 'The country where the events described in the text take place.', 'importance_score': 0.9}, {'entity_name': 'VLADIMIR PUTIN', 'entity_type': 'PERSON', 'description': 'The President of Russia who opened Patriot Park.', 'importance_score': 0.9}, {'entity_name': 'PATRIOT PARK', 'entity_type': 'LOCATION', 'description': \"A park in Russia showcasing the country's latest military weapons.\", 'importance_score': 0.8}, {'entity_name': 'MOSCOW', 'entity_type': 'LOCATION', 'description': 'The capital city of Russia from where the journey to Patriot Park begins.', 'importance_score': 0.7}, {'entity_name': 'SAUDI ARABIAN NAVY', 'entity_type': 'ORGANIZATION', 'description': \"A foreign military organization interested in Russia's military innovations.\", 'importance_score': 0.6}, {'entity_name': 'MH17', 'entity_type': 'EVENT', 'description': 'An airliner crash event mentioned in the context of a Buk missile launcher display.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'VLADIMIR PUTIN', 'tgt_id': 'PATRIOT PARK', 'description': 'Vladimir Putin opened Patriot Park in Russia.', 'weight': 0.9, 'order': 1}, {'src_id': 'PATRIOT PARK', 'tgt_id': 'RUSSIA', 'description': 'Patriot Park is a location in Russia.', 'weight': 0.8, 'order': 1}, {'src_id': 'PATRIOT PARK', 'tgt_id': 'MOSCOW', 'description': \"Patriot Park is accessible after an hour's drive from Moscow.\", 'weight': 0.7, 'order': 2}, {'src_id': 'SAUDI ARABIAN NAVY', 'tgt_id': 'PATRIOT PARK', 'description': 'The Saudi Arabian Navy is interested in the military innovations displayed at Patriot Park.', 'weight': 0.6, 'order': 2}, {'src_id': 'MH17', 'tgt_id': 'PATRIOT PARK', 'description': 'The MH17 crash is mentioned in the context of a Buk missile launcher display at Patriot Park.', 'weight': 0.7, 'order': 2}]}) (input_keys={'input_text'}), Example({'input_text': 'Washington (CNN)President Donald Trump is seriously considering a plan to block $250 million in military assistance to Ukraine, a move that would further ingratiate him with Russian President Vladimir Putin, and has directed senior officials to review the aid package.Trump\\'s decision to order the review comes after the White House publicly lost a battle to slash foreign aid spending across the board. After scrapping the plan to slash $4 billion in foreign aid, Trump said his team would look to find cuts elsewhere in the aid budget.\"The President has made no secret when it comes to foreign assistance that US interests abroad should be prioritized and other foreign countries should also be paying their fair share,\" a senior administration official told CNN.Specifically, Trump has directed Defense Secretary Mark Esper and national security adviser John Bolton to oversee the process, the senior administration official said. The President has not yet made a final decision on whether to permanently block the funds, an administration official told CNN. The review process, however, has effectively paused disbursement of the funds, which are set to expire on September 30 if they are not used.Read MoreJames Mattis: \\'I had no choice but to leave\\' the Trump administrationThe Pentagon has already recommended to the White House that the hold on military assistance to Ukraine be lifted, an administration official and a US defense official told CNN Thursday. A Pentagon spokesperson declined to comment on the matter on Thursday.\"We do not publicly comment on internal budget deliberations. For further inquiries, I direct you to the White House Office of Management and Budget,\" said spokesperson Lt. Col. Carla Gleason.However the hold on the aid remains in place, as it is the White House\\'s call whether to lift it, the administration official said, fueling uncertainty within the administration about what will happen to the spending after the review is formally completed.In the meantime, agencies are authorized and encouraged to execute all processes to prepare for the obligation of those funds but must wait to obligate them until the policy review is complete and the President has made a final determination, the senior official said. Bipartisan angerIf Trump ultimately decides to block the aid package, a possibility first reported by Politico, it would likely prompt a bipartisan uproar from members of Congress who believe US military support is essential to countering Russia\\'s military involvement in Ukraine.Illinois Republican Rep. Adam Kinzinger, a member of the House Foreign Affairs Committee, voiced his strong opposition to that idea in a tweet Thursday: \"This is unacceptable. It was wrong when Obama failed to stand up to Putin in Ukraine, and it\\'s wrong now.\"Democratic Sen. Bob Menendez released a statement accusing the administration of circumventing Congress and \"undermining a key policy priority that has broad and deep bipartisan support.\"\"In willfully delaying these funds, the Trump Administration is once again trying to circumvent Congress\\' Constitutional prerogative of appropriating funds for U.S. government agencies. It is also undermining a key policy priority that has broad and deep bipartisan support,\" he said.\"Enough is enough. President Trump should stop worrying about disappointing Vladimir Putin and stand up for U.S. national security priorities,\" Menendez added.What will Trump do?Multiple sources familiar with the issue tell CNN that the President has floated the idea of halting the funding program for weeks. The White House has recently notified relevant agencies and congressional committees of its intent to block the aid to Ukraine, one source said.However, sources say that there are still questions about what Trump will ultimately do. Trump privately clashed with G7 leaders over reinviting PutinThe push to block the aid package has been supported by Trump\\'s acting chief of staff Mick Mulvaney but opposed by some within the State Department and national security council, according to another source. National security adviser John Bolton was in Kiev Wednesday, where he met with Ukrainian officials, but there is little indication he raised the possibility of blocking the funding.\"It was great to meet with my Ukrainian national security and defense colleagues in Kyiv. The discussions clearly show that we share a common commitment to preserving Ukraine\\'s security and sovereignty, and to ensuring it is not subject to Chinese economic exploitation,\" Bolton tweeted Wednesday. A US Department of State official told CNN on Thursday that the policy on Ukraine has not changed, adding the US remains committed to a robust partnership between the two countries. But Trump\\'s public deference to Putin and Russia has alarmed US allies and lawmakers. The issue has only been amplified by Trump\\'s recent comments at the G7 summit, in which he seemingly downplayed Russia\\'s military incursion in Ukraine and suggested that Russia be reinstated into the group of leading global economies.The US has provided Ukraine with more than $1 billion in security assistance since 2014 as it has sought to bolster the country\\'s military, which is facing an ongoing conflict with separatists in the country\\'s east, forces the Pentagon believes are backed, armed and even led by Moscow.In 2017, the Trump administration announced its decision to provide lethal anti-tank weapons, including US-made Javelin missiles, to Ukraine. \"Since 2014, there has been broad bipartisan support in the Senate for security assistance to Ukraine. If Trump\\'s OMB is really playing games with Ukrainian security assistance, then the response from Congress will be fierce. At the very least, Trump\\'s OMB should get out of the way and release the funds that Congress has already appropriated,\" a senior Democratic aide told CNN. Rep. Adam Schiff, the Democratic chairman of the House Intelligence Committee, tweeted Wednesday that such a move would be \"destructive to our national security\" and suggested that the decision is politically motivated. \"Trump is withholding vital military aid to Ukraine, while his personal lawyer seeks help from the Ukraine government to investigate his political opponent. It doesn\\'t take a stable genius to see the magnitude of this conflict. Or how destructive it is to our national security,\" Schiff wrote.Giuliani pushes for Biden investigationRudy Giuliani, who serves as Trump\\'s personal attorney, has long lobbied Ukraine to investigate former Vice President Joe Biden\\'s call in 2016 to remove the country\\'s top prosecutor, who at one point had been investigating a Ukrainian natural gas company connected to Biden\\'s son, Hunter.Last week, Giuliani said he had again raised the issue with a Ukrainian official, suggesting the former New York mayor is making a renewed push for the country to investigate Trump\\'s political enemies.Other Western governments also called for that prosecutor\\'s dismissal, and no evidence has indicated Biden\\'s move was inappropriate.Ukraine\\'s prosecutor general told Bloomberg in May he had no proof of wrongdoing by Biden or his son.Giuliani says he met with Ukrainian official to discuss BidenThe Biden campaign refused comment on Giuliani\\'s talks. The New York Times first reported Giuliani\\'s talks with the official. Asked Thursday if he\\'s spoken to the President at all about the military assistance to Ukraine, Giuliani told CNN: \"No, not in on it.\"Giuliani told CNN that the State Department informed him that Andriy Yermak, who he called the lawyer for Ukrainian President Volodymyr Zelensky, wanted to meet with him. Yermak was appointed as an aide to Zelensky in May, according to local media reports.The two spoke twice over the phone, with Yermak offering to come to the US to meet with Giuliani before the two agreed to meet in Madrid last month, Giuliani said.Giuliani claims that Yermak asked him questions and that he didn\\'t ask the Ukrainian lawyer to do anything because he \"didn\\'t need to.\" The focus of their conversation was on Biden\\'s possible role as then-vice president in the prosecutor\\'s dismissal and how Ukraine may have tried to damage Trump\\'s campaign, Giuliani said.The State Department confirmed last week that it had assisted in connecting Yermak and Giuliani.CNN\\'s Ryan Browne, Michael Warren and Pamela Brown contributed to this report.', 'entities': [{'entity_name': 'DONALD TRUMP', 'entity_type': 'PERSON', 'description': 'President of the United States, considering a plan to block military assistance to Ukraine.', 'importance_score': 1.0}, {'entity_name': 'VLADIMIR PUTIN', 'entity_type': 'PERSON', 'description': 'President of Russia, with whom Trump seeks to ingratiate himself.', 'importance_score': 0.9}, {'entity_name': 'UKRAINE', 'entity_type': 'LOCATION', 'description': 'Country receiving military assistance from the US, which Trump is considering blocking.', 'importance_score': 0.8}, {'entity_name': 'MARK ESPER', 'entity_type': 'PERSON', 'description': 'Defense Secretary overseeing the review of the aid package.', 'importance_score': 0.7}, {'entity_name': 'JOHN BOLTON', 'entity_type': 'PERSON', 'description': 'National security adviser involved in the review process.', 'importance_score': 0.7}, {'entity_name': 'PENTAGON', 'entity_type': 'ORGANIZATION', 'description': 'US Department recommending the lifting of the hold on military assistance to Ukraine.', 'importance_score': 0.6}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'Administration making the final decision on the aid package.', 'importance_score': 0.8}, {'entity_name': 'CONGRESS', 'entity_type': 'ORGANIZATION', 'description': 'Legislative body expressing bipartisan opposition to blocking the aid package.', 'importance_score': 0.7}, {'entity_name': 'ADAM KINZINGER', 'entity_type': 'PERSON', 'description': 'Republican Representative opposing the blocking of aid to Ukraine.', 'importance_score': 0.6}, {'entity_name': 'BOB MENENDEZ', 'entity_type': 'PERSON', 'description': \"Democratic Senator criticizing the administration's handling of the aid package.\", 'importance_score': 0.6}], 'relationships': [{'src_id': 'DONALD TRUMP', 'tgt_id': 'UKRAINE', 'description': 'Trump is considering blocking military assistance to Ukraine.', 'weight': 0.9, 'order': 1}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'VLADIMIR PUTIN', 'description': \"Trump's decision to block aid to Ukraine would ingratiate him with Putin.\", 'weight': 0.8, 'order': 2}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'MARK ESPER', 'description': 'Trump has directed Esper to oversee the review of the aid package.', 'weight': 0.7, 'order': 1}, {'src_id': 'DONALD TRUMP', 'tgt_id': 'JOHN BOLTON', 'description': 'Trump has directed Bolton to oversee the review process.', 'weight': 0.7, 'order': 1}, {'src_id': 'PENTAGON', 'tgt_id': 'WHITE HOUSE', 'description': 'The Pentagon has recommended to the White House that the hold on military assistance to Ukraine be lifted.', 'weight': 0.6, 'order': 1}, {'src_id': 'CONGRESS', 'tgt_id': 'DONALD TRUMP', 'description': \"Congress is expressing bipartisan opposition to Trump's decision to block the aid package.\", 'weight': 0.7, 'order': 2}, {'src_id': 'ADAM KINZINGER', 'tgt_id': 'DONALD TRUMP', 'description': \"Kinzinger opposes Trump's idea of blocking aid to Ukraine.\", 'weight': 0.6, 'order': 2}, {'src_id': 'BOB MENENDEZ', 'tgt_id': 'DONALD TRUMP', 'description': \"Menendez criticizes the administration's handling of the aid package.\", 'weight': 0.6, 'order': 2}]}) (input_keys={'input_text'}), Example({'input_text': 'Story highlightsMeltzer completes 3,524 km in under 46 daysBeats rival Jurek\\'s year-long recordRan for 15 hours each day (CNN)He stands at the foot of Maine\\'s Mount Katahdin. He is 3,524 kilometers away from making history.Forty five days, 22 hours, and 38 minutes later, American ultrarunner Karl Meltzer, with strapping on both knees and a head torch to light the way, arrives at Springer Mountain in Georgia. He slaps the landmark sign in delight. No wonder -- he\\'s just completed the equivalent of going up the Empire State Building 443 times.Follow @cnnsport\\n\\nSince August 3, he\\'s been running an average of 14.8 hours a day, burning 345,122 calories, crossing 14 states, and working through 20 pairs of running shoes.Read: Triathlete pushes his body over the limitRead MoreBut all that fades into irrelevance now -- 11,000 people are estimated to have completed the Appalachian Trail, but none as fast as Meltzer.The record-breaking runMeltzer celebrates his recordThe Appalachian Trail runs along the east coast of America and is a favored route for ramblers. It mainly covers a terrain of forest trails and open fields, but also traverses roads, towns and farms, taking in some breathtaking scenery.The Trail would take hikers about six months to complete in its entirety, but Meltzer\\'s record took just a quarter of that, though his record attempt has been nearly a decade in the making.\"I\\'ve been trying to do it for nine years and the Appalachian Trail has been one of my favorite trails ever to run on,\" he told CNN. \"Now, after trying three times, I finally get the chance to say I\\'m the king of the AT.\" The previous record of 46 days, eight hours and seven minutes was held by Scott Jurek, a friend, training partner, and rival of Meltzer. Jurek ran his record from south to north, the opposite way to his counterpart. \"It was great to beat Scott Jurek\\'s record, too,\" said Meltzer, \"and to have him there at the end to run with me. It was really an honor and inspiration. Now it\\'s my turn to hand over the baton to someone else.\"\\'A long journey of misery\\': Ultrarunners -- a rare breed After one and a half months of four o\\'clock starts in the morning in order to run 50 miles, Meltzer\\'s feat was grueling and, in his own words, miserable.But the 48-year-old is by no means alone in his quest to carry his body over immense distances.An ultramarathon refers to any race longer than 42.195 km (26.219 miles), the length of a regular marathon. They can take place over a succession of days, or simply involve a single race, usually measuring between 50 and 200 km.Competitors at the Marathon des Sables in MoroccoThese races are often made worse by punishing conditions overhead and underfoot. The Marathon des Sables (MDS), for example, is a six-day, 251-km race across the Sahara Desert. Not only is the soft sand notoriously difficult to run on, but temperatures also often exceed 120°F (50°C). It\\'s not for the fainthearted. Blisters can develop from the smallest grain of sand getting in your shoes, and feet can swell from the heat. There are also more long-term problems: research has suggested that running such extreme distances may cause damage to heart tissue.Read: How to survive a desert marathonThe Badwater Ultramarathon vies with the MDS for the title of the world\\'s toughest footrace. The 135-mile course in California\\'s Death Valley reaches temperatures similar to those in the Sahara. Contestants are often seen wearing full body white suits as protection from UV light. It is estimated that 20-40% of runners on the start line fail to reach the finish.A lonely runner at BadwaterThen there\\'s the Hardrock Hundred Mile Endurance Run in Colorado that covers 12,000 feet (3,700 m) of elevation 13 times. The quickest time is a mere 22 hours 41 minutes. Meltzer has won this race five times -- more than any other man (Betsy Kalmeyer has the most female wins, also with five.) He\\'s completed 89 ultramarathons in his career and has won 38 100-mile races -- again, more than any other man -- having racked up six wins at the Wastach 100 and five at the Squaw Peak 50.But despite his breathtaking stamina, Meltzer is still human, snacking on candy, and ended each day on the Trail with a cold beer. Record broken, he now intends to catch up on sleep and play some golf.But of course he\\'s got a world record for that, too, having played the most holes ever (230) in 12 hours. Maybe not so human after all.Meltzer began his record attempt on August 3.', 'entities': [{'entity_name': 'KARL MELTZER', 'entity_type': 'PERSON', 'description': 'American ultrarunner who completed 3,524 km in under 46 days, breaking the previous record held by Scott Jurek.', 'importance_score': 1.0}, {'entity_name': 'SCOTT JUREK', 'entity_type': 'PERSON', 'description': 'Friend, training partner, and rival of Karl Meltzer, who held the previous record for completing the Appalachian Trail.', 'importance_score': 0.9}, {'entity_name': 'APPALACHIAN TRAIL', 'entity_type': 'LOCATION', 'description': 'A favored route for ramblers along the east coast of America, covering forest trails, open fields, roads, towns, and farms.', 'importance_score': 0.8}, {'entity_name': 'EMPIRE STATE BUILDING', 'entity_type': 'LOCATION', 'description': 'A landmark in New York City, used metaphorically to describe the distance Karl Meltzer ran.', 'importance_score': 0.7}, {'entity_name': 'MARATHON DES SABLES', 'entity_type': 'EVENT', 'description': 'A six-day, 251-km race across the Sahara Desert, known for its punishing conditions.', 'importance_score': 0.7}, {'entity_name': 'BADWATER ULTRAMARATHON', 'entity_type': 'EVENT', 'description': \"A 135-mile race in California's Death Valley, known as one of the world's toughest footraces.\", 'importance_score': 0.7}, {'entity_name': 'HARDROCK HUNDRED MILE ENDURANCE RUN', 'entity_type': 'EVENT', 'description': 'A race in Colorado that covers 12,000 feet of elevation 13 times, with the quickest time being 22 hours 41 minutes.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'KARL MELTZER', 'tgt_id': 'SCOTT JUREK', 'description': 'Karl Meltzer broke the record previously held by Scott Jurek for completing the Appalachian Trail.', 'weight': 1.0, 'order': 1}, {'src_id': 'KARL MELTZER', 'tgt_id': 'APPALACHIAN TRAIL', 'description': 'Karl Meltzer completed the Appalachian Trail in a record-breaking time.', 'weight': 1.0, 'order': 1}, {'src_id': 'SCOTT JUREK', 'tgt_id': 'APPALACHIAN TRAIL', 'description': 'Scott Jurek held the previous record for completing the Appalachian Trail.', 'weight': 0.9, 'order': 1}, {'src_id': 'KARL MELTZER', 'tgt_id': 'MARATHON DES SABLES', 'description': 'Karl Meltzer is an ultrarunner who has participated in extreme races like the Marathon des Sables.', 'weight': 0.7, 'order': 2}, {'src_id': 'KARL MELTZER', 'tgt_id': 'BADWATER ULTRAMARATHON', 'description': 'Karl Meltzer is an ultrarunner who has participated in extreme races like the Badwater Ultramarathon.', 'weight': 0.7, 'order': 2}, {'src_id': 'KARL MELTZER', 'tgt_id': 'HARDROCK HUNDRED MILE ENDURANCE RUN', 'description': 'Karl Meltzer has won the Hardrock Hundred Mile Endurance Run five times.', 'weight': 0.7, 'order': 2}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)NATO announced on Monday that some member countries are putting forces on standby and sending additional ships and fighter jets to eastern Europe as the United Kingdom and the United States ordered diplomats\\' families to withdraw from Ukraine amid concerns of a Russian invasion.The developments underscore growing fears of a possible Russian incursion, following months of military maneuvering by Moscow that has set off a tit-for-tat series of escalations with NATO, a military alliance of Western powers. Russia has been building up forces and equipment near its border with Ukraine since last year, and is sending troops into neighboring Belarus for joint exercises next month that Ukrainian officials fear could serve as a \"full-fledged theater of operations\" from which to launch an attack.US intelligence officials have said they don\\'t know whether Russian President Vladimir Putin has decided to invade Ukraine. The Kremlin has repeatedly denied it is planning to do so, but has argued that NATO support for the country constitutes a growing threat on Russia\\'s western flank.Read MoreUkrainian soldiers in a front line trench near pro-Russian separatists take shelter from the extreme cold. After high-level talks between Moscow and Washington wrapped earlier this month without any breakthroughs over the tens of thousands of Russian troops amassed on Ukraine\\'s border, prospects of de-escalation and future diplomacy have been cast into doubt. Now the Biden administration is weighing whether to deploy as many as 5,000 US troops, according to a senior defense official, to shore up NATO allies in Eastern Europe and the Baltics.  On Monday, both NATO and Russia pointed the finger at each other for the ratcheting tensions. \"Tensions are escalating due to concrete actions taken by the US and NATO,\" Kremlin spokesman Dmitry Peskov said, referring to NATO\\'s announcement.\"I mean the informational hysteria that we are witnessing -- it is generously framed by a huge amount of false information, just lies and fakes,\" Peskov added.Biden administration identifying troops for possible deployment to Eastern Europe amid Russia tensionsNATO Secretary General Jens Stoltenberg said in a Monday statement that the alliance would continue to take necessary measures \"to protect and defend all Allies, including by reinforcing the eastern part of the Alliance.\" He added: \"We will always respond to any deterioration of our security environment, including through strengthening our collective defence.\"The NATO statement said that in recent days, a flurry of member states had announced deployments to the region. They include Denmark sending a frigate to the Baltic Sea and four F-16 fighter jets to Lithuania, the Netherlands deploying two F-35 fighter aircraft to Bulgaria, France expressing its readiness to send troops to Romania and the US considering increasing its military presence in the East. Stoltenberg cautioned in a news conference on Monday that the moves were defensive and proportionate -- and that NATO was \"not threatening Russia.\" There was no suggestion in the statement that the troops would be used to assist Ukraine, which is not a NATO member. NATO, Europe and the US have been united in their opposition to any further Russian incursion in Ukraine, promising to lend support to Ukraine and hand down \"massive costs\" for Moscow in the event they make a move. But the shape of that response and what steps they might take are still unclear.US Secretary of State Antony Blinken on Sunday warned that \"a single additional Russian force\" entering Ukraine \"in an aggressive way\" would result in a severe response by the US and its allies. His comments came after US President Joe Biden muddled the message of severe consequences last week, saying at a news conference that a \"minor incursion\" might not trigger the same response from NATO as an invasion. The President later clarified that any Russian troops crossing Ukraine\\'s border would constitute an invasion.CNN reported last week that the US military goal would be to \"meet the capability\" NATO allies in the region are asking for, a defense official said. On Monday, Pentagon spokesman John Kirby said that as many as 8,500 US troops have been put on heightened preparedness to deploy.Local residents Marinka, Ukraine, walk past an apartment building destroyed during fighting in 2015 between the Ukrainian army and Russian-backed separatists. Fighting is still ongoing.The mobilization of Western forces comes amid a significant uptick in Russia\\'s military movements, not only on Ukraine\\'s border -- where the Ukrainian Defense Ministry says there are now 127,000 Russian troops stationed -- but elsewhere in Europe. The Russian Defense Ministry announced last week that 140 ships and 10,000 servicemen would take part in sweeping exercises from the Pacific to the Atlantic, including off Ireland\\'s southwest coast in February. The ministry said the main purpose of the drills is to protect Russia\\'s national interests in the world\\'s oceans, TASS state news agency reported.In Ukraine, one question looms: What will we do if Russia attacks? Ireland\\'s Foreign Affairs Minister Simon Coveney told reporters on Monday that he had raised concerns with Moscow about Russia\\'s plans. \"This isn\\'t the time to increase military activity and tension in the context of what\\'s happening with and in Ukraine at the moment,\" Coveney said. Coveney and other European Union foreign ministers met in Brussels to discuss the security situation in Ukraine and what action to take should Russia cross into Ukrainian territory; Blinken joined by video link following talks with Lavrov in Geneva. EU foreign ministers want to send a clear message to Russia that if it decides to invade Ukraine it will be hit by the \"most comprehensive\" package of sanctions and restrictions ever prepared by the EU, Coveney said.But while NATO countries ramp up readiness and the EU discusses heightened security concerns, Ukraine\\'s own government has not, at least outwardly, signaled the same sense of urgency. In a call with the President of the European Council Charles Michel on Monday, Ukrainian President Volodymyr Zelensky said the country will not succumb to provocations, but would \"keep calm.\" Zelensky and his government have previously downplayed the danger of a Russian invasion, noting that the threat has existed for years and has not become greater in recent months. The conflict between Ukraine and Russia has been rumbling since 2014, when Russia annexed Crimea and fomented a rebellion in Ukraine\\'s east. Despite a cease fire in 2015, the two sides have not seen a stable peace.Tensions are high on Ukraine\\'s border with Russia. Here\\'s what you need to knowUkraine on Monday criticized the US\\' decision to withdraw diplomats\\' families and reduce staff levels at the US Embassy in Kyiv, with Oleg Nikolenko, spokesman for the Ukrainian Foreign Ministry, saying in a tweet: \"We believe such a step to be a premature one & an instance of excessive caution.\" But other countries are also taking precautions in Kyiv, Ukraine\\'s capital. The UK Foreign Office also announced Monday that some British Embassy staff and dependents were being withdrawn from Kyiv in response to \"growing threats from Russia.\" UK Prime Minister Boris Johnson said Monday that the intelligence around the situation in Ukraine was \"gloomy\" but that war was not inevitable.Speaking to reporters at the EU Foreign Affairs Council in Brussels on Monday, the bloc\\'s chief diplomat Josep Borrell said Europe will seek to simmer tensions between Russia and Ukraine through diplomacy first but warned Moscow it is prepared to take action if necessary. He also urged for calm, stressing the need to avoid \"alarmist reactions that could that could lead to an escalation. We don\\'t want people to have a breakdown on this.\"  Borrell added that the EU had no current plans to evacuate diplomatic staff and their families from Ukraine.Eliza Mackintosh wrote and reported in London. Matthew Chance in Kyiv, Sharon Braithwaite, Nina Avramova, Sarah Dean, James Frater and Lindsay Isaac in London, Peter Taggart in Northern Ireland, Niamh Kennedy in Dublin and Anna Chernova in Moscow contributed to this report.', 'entities': [{'entity_name': 'NATO', 'entity_type': 'ORGANIZATION', 'description': 'A military alliance of Western powers.', 'importance_score': 1.0}, {'entity_name': 'RUSSIA', 'entity_type': 'LOCATION', 'description': 'A country involved in military maneuvering near its border with Ukraine.', 'importance_score': 1.0}, {'entity_name': 'UKRAINE', 'entity_type': 'LOCATION', 'description': 'A country facing concerns of a Russian invasion.', 'importance_score': 1.0}, {'entity_name': 'UNITED STATES', 'entity_type': 'LOCATION', 'description': \"A country that has ordered diplomats' families to withdraw from Ukraine.\", 'importance_score': 0.9}, {'entity_name': 'UNITED KINGDOM', 'entity_type': 'LOCATION', 'description': \"A country that has ordered diplomats' families to withdraw from Ukraine.\", 'importance_score': 0.9}, {'entity_name': 'VLADIMIR PUTIN', 'entity_type': 'PERSON', 'description': 'The President of Russia.', 'importance_score': 0.8}, {'entity_name': 'JOE BIDEN', 'entity_type': 'PERSON', 'description': 'The President of the United States.', 'importance_score': 0.8}, {'entity_name': 'DMITRY PESKOV', 'entity_type': 'PERSON', 'description': 'The Kremlin spokesman.', 'importance_score': 0.7}, {'entity_name': 'JENS STOLTENBERG', 'entity_type': 'PERSON', 'description': 'The NATO Secretary General.', 'importance_score': 0.7}, {'entity_name': 'ANTONY BLINKEN', 'entity_type': 'PERSON', 'description': 'The US Secretary of State.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'NATO', 'tgt_id': 'RUSSIA', 'description': \"NATO is taking measures to protect and defend its allies due to Russia's military maneuvering near Ukraine.\", 'weight': 0.9, 'order': 1}, {'src_id': 'UNITED STATES', 'tgt_id': 'UKRAINE', 'description': \"The United States has ordered diplomats' families to withdraw from Ukraine due to concerns of a Russian invasion.\", 'weight': 0.8, 'order': 1}, {'src_id': 'UNITED KINGDOM', 'tgt_id': 'UKRAINE', 'description': \"The United Kingdom has ordered diplomats' families to withdraw from Ukraine due to concerns of a Russian invasion.\", 'weight': 0.8, 'order': 1}, {'src_id': 'RUSSIA', 'tgt_id': 'UKRAINE', 'description': 'Russia has been building up forces near its border with Ukraine, leading to concerns of an invasion.', 'weight': 0.9, 'order': 1}, {'src_id': 'VLADIMIR PUTIN', 'tgt_id': 'RUSSIA', 'description': \"Vladimir Putin is the President of Russia, involved in the country's military maneuvering.\", 'weight': 0.8, 'order': 1}, {'src_id': 'JOE BIDEN', 'tgt_id': 'UNITED STATES', 'description': \"Joe Biden is the President of the United States, who has ordered diplomats' families to withdraw from Ukraine.\", 'weight': 0.8, 'order': 1}, {'src_id': 'DMITRY PESKOV', 'tgt_id': 'RUSSIA', 'description': \"Dmitry Peskov is the Kremlin spokesman, representing Russia's stance on the escalating tensions.\", 'weight': 0.7, 'order': 1}, {'src_id': 'JENS STOLTENBERG', 'tgt_id': 'NATO', 'description': \"Jens Stoltenberg is the NATO Secretary General, leading the alliance's response to Russia's actions.\", 'weight': 0.7, 'order': 1}, {'src_id': 'ANTONY BLINKEN', 'tgt_id': 'UNITED STATES', 'description': 'Antony Blinken is the US Secretary of State, who has warned of severe consequences if Russia invades Ukraine.', 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)This weekend either Lewis Hamilton or Max Verstappen will be crowned the Formula One world champion. Either way, the sport won big in 2021. This year\\'s success starts with a boom in the sport\\'s fanbase that can be pinned to Netflix\\'s \"Drive to Survive\" docuseries. The show is a crash course on the 10 teams, the 20 drivers, the rivalries between them and the race competition structure. A word-of-mouth campaign for the series along with short, easy viewing episodes made it a perfect pandemic-time binge watch for millions around the world.The series\\' intimate interviews combined with the best action from races and the high level drama is a strong pitch for the real-life spectacle of Formula One.The multifaceted storytelling lets fans focus on the aspects of the sport that most appeal to them. And most importantly, \"Drive to Survive\" primed fans for an easy transition to the track when the 2021 season started.Read MoreThe popularity of the Netflix program, notably in the US, has paid dividends. ESPN says its race viewership in 2021 is up 56% over 2020. There was record attendance at the US Grand Prix in Austin this October -- drivers also credit the docuseries for the sport\\'s growth, including Hamilton himself. READ: Title rivals wary of being on collision course in Abu Dhabi showdownMax Verstappen and Lewis Hamilton have created a thrilling title race. Title race enthralls New fans are important but getting them to stick with the sport is critical. This year\\'s constant action on the track anchored by the Hamilton-Verstappen title fight has satisfied the second part of that equation. Eyes across the globe will be on all 58 laps in Abu Dhabi on Sunday, the final race to determine who takes home the title. Up until the last lap, every second of the season has been and will be a nail biter.All the variables that brought the two drivers to tally the same exact score heading into the finale is what kept fans\\' attention throughout the season. Think Verstappen\\'s car perched on top of Hamilton\\'s after the crash in Monza or the smoke rising forebodingly from Hamilton\\'s brakes seconds before the restart in Baku. Verstappen\\'s car ended up on top of Hamilton\\'s at the Italian Grand Prix in September.The best racing is when the two are at it, wheel-to-wheel, like they were through the opening laps of the British Grand Prix.Sprint Qualifying, a format introduced to three weekends this season was seen across the community as a controversial addition to the sport. Despite that, it provided something new for fans who welcomed the extra racing.F1 still has improvements to make on several fronts that would make the sport and viewing experience more inclusive.There is still an obvious need for greater diversity behind the wheel and in the institution itself. The league\\'s first full-time driver from China, Guanyu Zhou, will be a much-welcomed addition to the track when he makes his debut next season. However, it is hard to ignore just how White and male dominated the sport is.JUST WATCHEDValtteri Bottas: F1 title race will go down to the wireReplayMore Videos ...MUST WATCHValtteri Bottas: F1 title race will go down to the wire 04:17The FIA, the governing body of the sport, also has some work to do to make rules more transparent and easier to follow. Commentators do their best to make sense of the calls being made by the stewards, but sometimes, even they are left scratching their heads -- driver and team penalties often seem totally arbitrary or ill-explained.Fan accessibility will remain a challenge. Part of that is built-in because F1 is a global sport with just over 20 events a year. Those constraints make attending a race weekend expensive. For American fans eager to make it to a race, there is some good news: a race in Miami next season means two races in the US for the first time since 1984.After the exciting culmination of this season comes the anticipation for the next, with new car designs and some changes in the driver lineup. Season four of \"Drive to Survive\" is imminent too. All of that adds up to a feeling that there is so much more to come from the sport. ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the given entity types. We then determine the relationships between these entities, considering the context and interactions described in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Lewis Hamilton\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Formula One driver who is competing for the world championship.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Max Verstappen\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Formula One driver who is competing for the world championship.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Formula One\",\\n\\n\"entity_type\": \"SPORT\",\\n\\n\"description\": \"A motorsport that is the focus of the article, featuring drivers like Lewis Hamilton and Max Verstappen.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Netflix\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A streaming service that produced the \\'Drive to Survive\\' docuseries, which has boosted the popularity of Formula One.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Drive to Survive\",\\n\\n\"entity_type\": \"TV_SHOW\",\\n\\n\"description\": \"A docuseries on Netflix that has increased the fanbase of Formula One.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"ESPN\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A sports network that reported a 56% increase in race viewership in 2021.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"US Grand Prix\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A Formula One race event held in Austin, Texas, with record attendance in October.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Abu Dhabi\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The location of the final race in the Formula One season, which will determine the world champion.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Guanyu Zhou\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A Formula One driver from China who will make his debut next season.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"FIA\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The governing body of Formula One, which needs to improve transparency in its rules.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Lewis Hamilton\",\\n\\n\"tgt_id\": \"Max Verstappen\",\\n\\n\"description\": \"Competing against each other for the Formula One world championship.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Drive to Survive\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"A TV show that has increased the popularity of Formula One.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Netflix\",\\n\\n\"tgt_id\": \"Drive to Survive\",\\n\\n\"description\": \"A streaming service that produced the \\'Drive to Survive\\' docuseries.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"ESPN\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"A sports network that reported increased viewership of Formula One races.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"US Grand Prix\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"A Formula One race event with record attendance.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Abu Dhabi\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"The location of the final race in the Formula One season.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Guanyu Zhou\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"A new driver who will join Formula One next season.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"FIA\",\\n\\n\"tgt_id\": \"Formula One\",\\n\\n\"description\": \"The governing body of Formula One that needs to improve its rules\\' transparency.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)In a five word tweet, Andy Murray made clear he had no sympathy for a fellow tennis player who had just been banned from tennis for doping.Follow @cnnsport\\n\\nAfter 29-year-old American Wayne Odesnik was handed a 15-year ban after testing positive for a range of performance enhancing drugs including anabolic steroids, the 2013 Wimbledon champion Murray tweeted: \"Bye bye Wayne... Good riddance.\"Bye bye Wayne... Good riddance— Andy Murray (@andy_murray) March 18, 2015\\nThis isn\\'t the first time Odesnik has been caught cheating -- he was initially given a two-year ban in 2010 when Australian customs officials discovered eight vials of human growth hormone in his luggage. As this is his second offense the International Tennis Federation increased his punishment to 15 years with Odesnik, who is ranked 267 in the world, subsequently announcing his retirement.Odesnik, who has made over $1m in prize money over his career, says the positive test results weren\\'t his fault.Read MoreJUST WATCHEDThe power of tennis statisticsReplayMore Videos ...MUST WATCHThe power of tennis statistics 03:46\"In December 2014, I unknowingly ingested a contaminated over-the-counter supplement,\" Odesnik said in a statement.\"Upon learning of my positive test results I was immediately heartbroken as words could not describe my shock and disappointment,\" added the former world No. 77.\"Being the most tested American player on tour, I would never knowingly have taken any chance of consuming a banned substance.\"Fellow American tennis player Andy Roddick was also in no mood to forgive Odesnik, tweeting: \"I hate that he has a U.S. flag next to his name when he\\'s cheating. Good riddance.\"According to the United States Anti-Doping Agency (USADA), Odesnik provided out-of-competition urine samples in December 2014 and January 2015 which tested positive.\"[It] was his second such violation, having been sanctioned in 2010 for the possession of human growth hormone. It was, therefore, determined that he is suspended from participation for a period of 15 years\" USADA said in a statement.\"It was also determined that Mr Odesnik\\'s results at the Happy Valley Challenger event, Australian Open and Maui Challenger event should be disqualified, with forfeiture of the ranking points and prize money.\"Odesnik was born in Johannesburg but moved to the U.S. when he was three, before turning pro in 2004. Read: Thatch point! Roger Federer ribs Andy Murray\\'s hairstyle on TwitterRead: The tournament that \\'disgraced America\\'', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and the context provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Andy Murray\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professional tennis player and the 2013 Wimbledon champion.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Wayne Odesnik\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A 29-year-old American tennis player who was banned for 15 years for doping.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"International Tennis Federation\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The governing body that increased Odesnik\\'s punishment to 15 years.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"United States Anti-Doping Agency\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The agency that tested Odesnik\\'s samples and confirmed his second doping violation.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Wimbledon\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"A prestigious tennis tournament where Murray won in 2013.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Andy Murray\",\\n\\n\"tgt_id\": \"Wayne Odesnik\",\\n\\n\"description\": \"Andy Murray expressed no sympathy for Wayne Odesnik after his doping ban.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Wayne Odesnik\",\\n\\n\"tgt_id\": \"International Tennis Federation\",\\n\\n\"description\": \"Wayne Odesnik was banned for 15 years by the International Tennis Federation.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Wayne Odesnik\",\\n\\n\"tgt_id\": \"United States Anti-Doping Agency\",\\n\\n\"description\": \"Wayne Odesnik\\'s doping violation was confirmed by the United States Anti-Doping Agency.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': 'Zurich Switzerland has chosen Lockheed Martin\\'s F-35A Lightning II as its next-generation fighter jet, the government said on Wednesday, angering opponents who have pledged a new referendum to overturn what they dubbed an unnecessary \"Ferrari\" option.The $5.5 billion deal adds a 15th nation to the world\\'s largest weapons project -- a family of interconnected, single-engine jets to be used by the United States and its allies and partners.It came alongside a $2.1 billion agreement to buy the Patriot surface-to-air missile system from US group Raytheon, with European competitors losing out on both deals.The F-35 has faced multiple budget overruns, delays and technical setbacks, but is building export momentum. Critics say the project, valued at trillions of dollars over its lifetime, has seen costs soar while failing to meet goals on capability.Neutral Switzerland will buy 36 F-35As after an evaluation found it had \"the highest overall benefit at the lowest overall cost,\" the government said.Read MoreBiden admin intends to move forward with $23B UAE weapons salesThe aircraft beat bids from Boeing\\'s F/A-18 Super Hornet, the Rafale from France\\'s Dassault and the four-nation Eurofighter built by Germany- and Spain-backed Airbus, Italy\\'s Leonardo and Britain\\'s BAE Systems.The decision drew immediate criticism from anti-armaments campaigners and left-wing parties who will now launch a campaign for a referendum on the issue, the third Swiss vote on buying fighter jets.Voters seven years ago rejected the purchase of Gripen jets from Sweden\\'s Saab, while the 6 billion Swiss franc ($6.5 billion) funding, which led to the decision to buy the F-35As, was only narrowly approved last year.Opponents say Switzerland doesn\\'t need cutting-edge warplanes to defend its Alpine territory, which a supersonic jet can cross in 10 minutes.US warplanes fly first combat missions off foreign aircraft carrier since World War II\"The decision is simply incomprehensible,\" said Priska Seiler Graf, a member of Parliament for the left-leaning Social Democrats (SP), who has raised concerns about the cost.\"It\\'s not just about buying them, but the upkeep and operating costs,\" she added. \"We should seek a European solution ... we don\\'t want to be dependent on the United States.\"The government picked the Patriot missile system over Franco-Italian group Eurosam.Defense Minister Viola Amherd said the F-35As were chosen after being the most impressive performer in an evaluation and offered best value for money.Total costs of 15.5 billion francs ($16.7 billion) came in 2 billion francs cheaper than the next lowest bidder, the government said, based on buying and operating the aircraft over 30 years.\"We would not have bought a Ferrari if a VW would do and the Ferrari would be three times more expensive,\" Amherd told a news conference.The Swiss Parliament now has to approve the funding for the purchase, with the debate scheduled for early next year. It can debate costs and terms but not revisit the model selection.Dozens of US Air Force F-35 fighters taxi on the runway in preparation for a combat power exercise on Nov. 19, 2018, at Hill Air Force Base, Utah. The fighter decision was closely watched as the first of three face-offs ahead of Finland and Canada.Lockheed\\'s stealthy fifth-generation fighter recently added Poland to its list of European customers which includes Belgium, Denmark, Italy, the Netherlands, Norway, and Britain.US President Joe Biden had lobbied for American companies when meeting his Swiss counterpart while in Geneva for his summit with Russian President Vladimir Putin this month.JUST WATCHEDWatch US F-35 jet fighters arrive in Europe (2017)ReplayMore Videos ...MUST WATCHWatch US F-35 jet fighters arrive in Europe (2017) 00:55Analysts said the decision to snub both the European fighter jet candidates and surface-to-air missile offering could be seen as a Swiss rebuff to the European Union in a time of strained relations between Bern and Brussels after the collapse of talks over a new agreement governing trade and other matters.By doubling down on US suppliers the government could antagonize the 49.8% of voters who opposed funding last year.South Korea rolls out the KF-21, joining elite group of global supersonic fighter jet makersAnti-arms campaigners say Switzerland, which last fought a foreign war more than 200 years ago and has no discernable enemies, does not need cutting-edge fighters.But supporters have said Switzerland needs to be able to protect itself without relying on others.Jonas Kampus, political secretary of the Group for a Switzerland without an Army, said he was confident of winning a referendum against the F-35As.The government \"can expect a heavy defeat in the vote. The follow-up polls in September (2020) showed a clear rejection of the F-35 among the voting population,\" he said.Marionna Schlatter, a lawmaker with the Greens Party said the September poll was too close to ignore opposition concerns.\"The people don\\'t want a Ferrari in the air,\" she said.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies described in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Zurich Switzerland\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A city and country where the decision to buy F-35A Lightning II was made.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Lockheed Martin\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A company that manufactures the F-35A Lightning II.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"F-35A Lightning II\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A next-generation fighter jet chosen by Zurich Switzerland.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Patriot surface-to-air missile system\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A missile system bought alongside the F-35A Lightning II.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Raytheon\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A US group that manufactures the Patriot missile system.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Boeing\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A company that manufactures the F/A-18 Super Hornet.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"F/A-18 Super Hornet\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A fighter jet bid by Boeing.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Dassault\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A French company that manufactures the Rafale.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Rafale\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A fighter jet bid by Dassault.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Eurofighter\",\\n\\n\"entity_type\": \"PRODUCT\",\\n\\n\"description\": \"A fighter jet built by Germany- and Spain-backed Airbus, Italy\\'s Leonardo, and Britain\\'s BAE Systems.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Airbus\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A company that is part of the consortium building the Eurofighter.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Leonardo\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"An Italian company that is part of the consortium building the Eurofighter.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"BAE Systems\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A British company that is part of the consortium building the Eurofighter.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Swiss Parliament\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The legislative body of Switzerland that will approve the funding for the F-35A purchase.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Priska Seiler Graf\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A member of Parliament for the left-leaning Social Democrats who raised concerns about the cost of the F-35A.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Viola Amherd\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The Defense Minister of Switzerland who justified the choice of the F-35A.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Joe Biden\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The President of the United States who lobbied for American companies.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Vladimir Putin\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The President of Russia with whom Joe Biden had a summit.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Jonas Kampus\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The political secretary of the Group for a Switzerland without an Army who is confident of winning a referendum against the F-35A.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Marionna Schlatter\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A lawmaker with the Greens Party who expressed opposition to the F-35A.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"F-35A Lightning II\",\\n\\n\"description\": \"Zurich Switzerland has chosen the F-35A Lightning II as its next-generation fighter jet.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Patriot surface-to-air missile system\",\\n\\n\"description\": \"Zurich Switzerland has agreed to buy the Patriot surface-to-air missile system.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"F-35A Lightning II\",\\n\\n\"tgt_id\": \"Lockheed Martin\",\\n\\n\"description\": \"The F-35A Lightning II is manufactured by Lockheed Martin.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Patriot surface-to-air missile system\",\\n\\n\"tgt_id\": \"Raytheon\",\\n\\n\"description\": \"The Patriot surface-to-air missile system is manufactured by Raytheon.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Boeing\",\\n\\n\"description\": \"Zurich Switzerland considered the F/A-18 Super Hornet bid by Boeing.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Dassault\",\\n\\n\"description\": \"Zurich Switzerland considered the Rafale bid by Dassault.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Eurofighter\",\\n\\n\"description\": \"Zurich Switzerland considered the Eurofighter bid by Airbus, Leonardo, and BAE Systems.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Swiss Parliament\",\\n\\n\"description\": \"The Swiss Parliament will approve the funding for the F-35A purchase.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Priska Seiler Graf\",\\n\\n\"description\": \"Priska Seiler Graf, a member of Parliament, raised concerns about the cost of the F-35A.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Viola Amherd\",\\n\\n\"description\": \"Viola Amherd, the Defense Minister, justified the choice of the F-35A.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Joe Biden\",\\n\\n\"description\": \"Joe Biden lobbied for American companies during his meeting with the Swiss counterpart.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Vladimir Putin\",\\n\\n\"description\": \"Joe Biden met with Vladimir Putin during his summit in Geneva.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Jonas Kampus\",\\n\\n\"description\": \"Jonas Kampus is confident of winning a referendum against the F-35A.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Zurich Switzerland\",\\n\\n\"tgt_id\": \"Marionna Schlatter\",\\n\\n\"description\": \"Marionna Schlatter expressed opposition to the F-35A.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'London (CNN)Anna says she did not want to break the UK\\'s Covid-19 lockdown rules.The 37-year-old has worked through the pandemic. Anna says she cleans an office building in London which is open but nearly empty, as most staff are working from home. It\\'s a job the Ecuadorean native has done for five years, after moving to the UK from Spain in 2013 while looking for work. CNN is not disclosing Anna\\'s real name as she fears repercussions from her employer. Anna\\'s employer insisted that she continue to clean the building during the pandemic but cut her hours from five a day to four. She earns £10.75 ($14.77) per hour.\"I have been forced to go to work in a nonessential building,\" she told CNN. \"There is no one at work, I\\'m alone.\"Read MoreLast month Anna caught Covid-19. She\\'s unsure where she picked it up from but said it was likely \"on the bus or on the Underground.\" She lives in south London in a shared house and says that at first the virus left her exhausted.The healthcare workers watching from afar as rich countries begin vaccine rollout \"I had a lot of coughs, fever, fatigue... and dizziness,\" she said. \"And I [am taking a long time to recover] because this disease is very painful [and] horrible.\"But after staying home for a few days as she recovered from the disease, Anna decided to go into work, as she was only receiving partial pay.UK government rules state that while recovering from Covid-19, patients should self-isolate for at least 10 full days. \"I only felt tired and [had] a headache,\" she said. \"That is why I went to work -- I also couldn\\'t afford to stay at home because I received very little salary.\"I feel guilty that I went to work and infected more people, [but] I had no other option.\"An illuminated motorway sign carries the \"Stay At Home\" message, on January 10 in Dunfermline, Scotland.Breaches of self-isolation rules are rampant across the UK. Up to 20,000 people a day are failing to stay home when instructed to, according to Dido Harding, who is in charge of the country\\'s coronavirus Test and Trace scheme. \"These numbers are moving a lot,\" Harding told a parliamentary committee this week, adding that \"circa 20,000 people a day\" were currently not isolating. Harding said she was also concerned about people who were experiencing symptoms but had avoided being tested. For the British government, the lack of compliance is a significant worry.\"My biggest concern is...the people who feel ill but don\\'t come forward for testing at all,\" Harding said. One popular stereotype paints lockdown breakers as young and irreverent people who insist on attending house parties and meeting friends. But experts say the picture is more nuanced. The British public strongly supports lockdown, according to a YouGov poll released in January. Those who are not abiding by the rules often cannot afford to do so.Covid destroyed lives spent together. Now those left behind must say farewell by Zoom\"There\\'s so much emphasis on people not breaking the rules, but the majority are actually following the rules,\" says Muge Cevik, a clinical lecturer in infectious diseases and medical virology at the University of St. Andrews in Scotland.Cevik and her colleagues recently published an article in the British Medical Journal urging the government to offer greater support to people self isolating. Their paper points to a successful test-and-care model in San Francisco, which helped people isolate by ensuring home deliveries of goods, among other measures. A similar scheme in New York, which allowed people to opt to isolate in hotels, is also singled out for praise in the article.\"In the majority of hospitalizations what we\\'re seeing is that the majority of infections are among key workers,\" Cevik told CNN. \"We\\'re seeing huge outbreaks in warehouses, meat-packing plants, care homes ... the only thing that combines these sectors are low-paid workers, likely to live in crowded houses.\"In September 2020, the UK government rolled out a new package to support those in self-isolation. Lower income earners having to stay home may be eligible for a payment of £500 if they face losing pay. The penalty for those breaching lockdowns also increased, with those caught now facing  £1,000 ($1,370) fines.\"This new Test and Trace Support payment of £500 will ensure that those on low incomes are able to self-isolate without worry about their finances,\" the UK government said in a statement in September.But the £500 payment comes with stringent requirements -- to be eligible people need to already receive some form of UK government benefit, such as universal credit, working tax credit or housing benefit. Earlier this week, a study published by the Trades Union Congress found that fewer than 40% of applications for the grant were successful. Harding acknowledged during her committee appearance that lack of financial support was one reason that people failed to isolate. Cevik and her colleagues believe more needs to be done, including offering those in crowded homes the chance to self-isolate in separate accommodation, to curb the virus\\' spread.\"If someone has tested positive, [then] at the time of testing, we could be asking them \\'do you have space to isolate? And do you get sick leave?\\'\" she says.\"These [resources] need to come as a package -- income relief, sick leave [and] accommodation is needed.\"Anna says she would \"of course\" have stayed home if she had been given more support.\"I would have stayed home from the first day,\" she told CNN. \"I felt bad, but ... low-wage workers had no choice.\"A digital display at a bus station warns pedestrians of the new strain of coronavirus in central London on January 8.\"I don\\'t blame people who are desperate, and [make that choice to work],\" says Yaseen Aslam, president of the ACDU, a union representing private hire and courier drivers in Britain.\"I know a driver who had to isolate four times in two months, How does that work?\" Aslam told CNN. \"The problem is, drivers are making at the moment £35 or £50 daily,\" he adds. \"The £500 [payment], yeah that\\'s good but the drivers are desperate.\"And when you\\'re in a desperate situation, you take risks. People are choosing between their life and just being out there.\"Uber, among other companies, has piloted a scheme to help protect drivers and passengers by installing partitions in 400 cars, as suggested by government guidelines. The pilot scheme was done in partnership with motoring assistance group, the AA, across Newcastle, Sunderland and Durham, in northern England. But outside the scheme, drivers must decide whether to pay to install the screens. But one driver,\\xa0who asked not to be named because he feared retribution from his employer,\\xa0said he and his peers were not installing the screens as they simply could not afford to.\"This is a pandemic,\" the man, who says he works as a driver in London, said. \"It\\'s not going to last forever -- why should I put that in if it\\'s not going to last forever?\"Aslam also works with the International Alliance of App-Based Transport Workers, an organization that brings together private hire drivers worldwide.\"I work with drivers in France, Amsterdam, San Francisco [and so on,]\" he said. \"We\\'re seeing these problems across the world. But no one is trying to help us.\"2020 through the eyes of Europe\\'s \\'unseen\\' key workersEarly 2021 has been marked across Europe with an outburst of frustration against lockdowns, with protests being held across Austria, Hungary and the Netherlands. The Dutch demonstrations lasted for a few nights in late January and turned violent. Anti-lockdown protesters have also taken to the streets in the UK, most notably in multiple demonstrations in November 2020. Dozens of people have been arrested during the marches, at which some protesters have shared conspiracy theories about Covid-19.\"If people feel vulnerable, then they will comply with lockdown rules,\" Pamela Briggs, a professor of applied psychology at Northumbria University, told CNN. \"For those who feel less vulnerable, then compliance becomes more of a matter of civic duty.\"If you\\'re going to make sacrifices then you have to believe they\\'ll be effective,\" she adds. \"The problem comes when people can\\'t understand why they are being asked to do these things... if people feel the rules don\\'t make sense, they\\'re more likely to challenge them.\"Briggs believes that people need to believe their sacrifice in staying home is worth the personal cost. The UK\\'s three lockdowns have, to various extents, helped to curb rising cases.\"We could make people feel that their sacrifices are genuinely having an effect,\" Briggs said.\"There are ways to demonstrate the efficacy of lockdown and more should be done.\"One year into the Covid crisis, the UK government continues to use lockdowns as a last resort. Some good news awaits on the horizon -- cases are beginning to drop and the country\\'s vaccine rollout has been widely praised. What officials now face is the challenge of helping people stay home, in the face of overwhelming mental and financial fatigue.', 'entities': [{'entity_name': 'ANNA', 'entity_type': 'PERSON', 'description': 'A 37-year-old Ecuadorean native who cleans an office building in London during the pandemic.', 'importance_score': 0.9}, {'entity_name': 'UK', 'entity_type': 'LOCATION', 'description': 'The United Kingdom, where Anna moved from Spain in 2013 and currently lives.', 'importance_score': 0.8}, {'entity_name': 'LONDON', 'entity_type': 'LOCATION', 'description': 'A city in the UK where Anna works and lives.', 'importance_score': 0.7}, {'entity_name': 'COVID-19', 'entity_type': 'DISEASE', 'description': 'The disease that Anna caught and had to recover from.', 'importance_score': 0.9}, {'entity_name': 'CNN', 'entity_type': 'ORGANIZATION', 'description': 'The news organization that interviewed Anna and reported her story.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'ANNA', 'tgt_id': 'UK', 'description': 'Anna moved to the UK from Spain in 2013.', 'weight': 0.8, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'LONDON', 'description': 'Anna works and lives in London.', 'weight': 0.9, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'COVID-19', 'description': 'Anna caught Covid-19 and had to recover from it.', 'weight': 0.9, 'order': 1}, {'src_id': 'ANNA', 'tgt_id': 'CNN', 'description': \"Anna's story was reported by CNN.\", 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)\"We\\'re going to win the league,\" sang thousands of Liverpool fans inside Anfield.This is a club that has not won the league title for 30 years and, even with a 13-point lead at the top of the table before Sunday\\'s match against Manchester United, there was a sense the nervous fan base still didn\\'t want to risk jinxing things.But once Mo Salah\\'s late strike secured a 2-0 win over Manchester United, you got the feeling the party to end a three-decade wait for the title had just begun.Even the most pessimistic of Liverpool fans and optimistic of Manchester City fans will probably now admit this season\\'s Premier League title race is over.After Pep Guardiola\\'s side could only muster a disappointing draw against Crystal Palace on Saturday, Jurgen Klopp\\'s Reds have now extended their lead at the top of the table to 16 points.Read MoreWhile the scoreline alone makes this game seem like a somewhat tight affair, it was anything but.Virgil van Dijk rises highest to give Liverpool the lead.READ: Relentless Liverpool on course for record-breaking seasonREAD: Liverpool make best-ever start to a Premier League seasonUnder a brilliant red sky at Anfield, the gulf in quality between these two teams was plain for everyone to see and victory for Liverpool means the club is now 30 points better off than Manchester United this season.After today\\'s match, you were left wondering how it was only 30.Aside from a brief spell on pressure early in the second half, Manchester United had no answer to the relentless red wave that descended time and again on its goal.When Virgil van Dijk opened the scoring for Liverpool after just 14 minutes -- towering above everybody in the box to head home Trent Alexander-Arnold\\'s corner -- the only surprise was that it had taken that long.Curiously, Manchester United is the only team this season to have taken points off Liverpool in the Premier League, holding the champion-elect to a 1-1 draw back in October.Anfield exploded with noise as Liverpool extended its lead to 16 points.As the first half wore on, the visiting side\\'s defense continued to wilt under pressure and Liverpool found VAR to be a far more stubborn opponent than United\\'s backline.Not once, but twice was the home side denied by the video assistant referee; the first for Van Dijk\\'s foul on David de Gea and the second for a fractional offside decision.Liverpool was cruising at half time, though if any particularly jittery fans did need some extra comforting, the Reds hadn\\'t lost a home Premier League game when leading at the interval for 10 years, a run stretching back 102 matches.Two minutes into the second half, Salah had one of the easiest chances he\\'ll ever have to score but somehow fluffed his shot from three yards out wide of the post.It was a let off for Manchester United -- whose players looked to have started the second period half asleep -- and just seconds later some sloppy play at the back gifted the ball to Jordan Henderson, who crashed an effort off the outside of the post.Those missed opportunities seemed to spark life into United and Anthony Martial squandered his side\\'s only real chance of the match, blazing his shot wildly over the bar when it looked easier to score.Mo Salah celebrates after scoring Liverpool\\'s second.With the visiting side throwing all its men forward in search of a later equalizer, Liverpool goalkeeper Alisson hit a stunning pass upfield to find Salah completely unmarked.United winger Daniel James did well to get back but the Egyptian held off his challenge and coolly slotted the ball under De Gea to send Anfield into rapture.\"And now you\\'re gonna believe us,\" the fans continued. \"We\\'re going to win the league.\"', 'entities': [{'entity_name': 'LIVERPOOL', 'entity_type': 'ORGANIZATION', 'description': 'A football club that has not won the league title for 30 years and is currently leading the table with a 16-point advantage.', 'importance_score': 1.0}, {'entity_name': 'MANCHESTER UNITED', 'entity_type': 'ORGANIZATION', 'description': \"A football club that faced Liverpool in a match where they lost 2-0, extending Liverpool's lead in the table.\", 'importance_score': 0.9}, {'entity_name': 'MO SALAH', 'entity_type': 'PERSON', 'description': \"A football player who scored the second goal in Liverpool's 2-0 win over Manchester United.\", 'importance_score': 0.8}, {'entity_name': 'VIRGIL VAN DIJK', 'entity_type': 'PERSON', 'description': \"A football player who scored the first goal in Liverpool's 2-0 win over Manchester United.\", 'importance_score': 0.8}, {'entity_name': 'JURGEN KLOPP', 'entity_type': 'PERSON', 'description': 'The manager of Liverpool football club.', 'importance_score': 0.7}, {'entity_name': 'PEP GUARDIOLA', 'entity_type': 'PERSON', 'description': 'The manager of Manchester City football club.', 'importance_score': 0.7}, {'entity_name': 'ANFIELD', 'entity_type': 'LOCATION', 'description': 'The stadium where the match between Liverpool and Manchester United took place.', 'importance_score': 0.6}], 'relationships': [{'src_id': 'LIVERPOOL', 'tgt_id': 'MANCHESTER UNITED', 'description': 'Liverpool defeated Manchester United 2-0 in a Premier League match.', 'weight': 1.0, 'order': 1}, {'src_id': 'MO SALAH', 'tgt_id': 'LIVERPOOL', 'description': 'Mo Salah scored the second goal for Liverpool in their match against Manchester United.', 'weight': 0.9, 'order': 1}, {'src_id': 'VIRGIL VAN DIJK', 'tgt_id': 'LIVERPOOL', 'description': 'Virgil van Dijk scored the first goal for Liverpool in their match against Manchester United.', 'weight': 0.9, 'order': 1}, {'src_id': 'JURGEN KLOPP', 'tgt_id': 'LIVERPOOL', 'description': 'Jurgen Klopp is the manager of Liverpool football club.', 'weight': 0.8, 'order': 1}, {'src_id': 'PEP GUARDIOLA', 'tgt_id': 'MANCHESTER CITY', 'description': 'Pep Guardiola is the manager of Manchester City football club.', 'weight': 0.8, 'order': 1}, {'src_id': 'ANFIELD', 'tgt_id': 'LIVERPOOL', 'description': 'Anfield is the home stadium of Liverpool football club.', 'weight': 0.7, 'order': 1}]}) (input_keys={'input_text'})], [Example({'augmented': True, 'input_text': ' (CNN)A ban on cellphones in classrooms was announced in the Australian state of Victoria on Wednesday. The ban, which will apply to primary and secondary students, is designed to crack down on cyber-bulling and classroom distractions, the Victorian government said in a statement. While some schools in Australia have already banned cell-phone use, this marks the first statewide ban in the country. It will begin from the first school term of 2020.\"Students will be required to switch off their phones and store them securely in lockers from the start of the school day until the final bell. When emergencies occur, parents or guardians can reach their child by calling the school,\" the statement said.Victoria Education Minister James Merlino said he didn\\'t expect the move to be \"universally popular\" but said it was the \"right thing to do\" on his official social media. Read MoreA report says young people are growing horns on their skulls. Critics don\\'t buy itThe move isn\\'t without precedent. Australia\\'s largest state, New South Wales, banned mobile phones in primary schools in 2018, and France has banned all smart phones and smart devices from schools.Australian Education Minister Dan Tehan said in a statement that he supported the Victoria ban.\"When I talk to parents and teachers the overwhelming majority want action on banning mobile phones in the classroom,\" Tehan said in a statement. In a 2019 survey of about 2,000 Australian adults, by Monash University professor Neil Selywn, almost 80% supported a restriction on cell-phone use in schools, while one-third supported an outright ban.Ann Marie, a secondary school principal at a college in Victoria, told ABC Radio Melbourne that pupils at her school had agreed to restrict their mobile phone use during the day, explaining that they hoped to reduce \"bullying, distraction and one-upmanship.\"But there have been some concerns. The Australian Education Union Victoria said in a statement that while it supports the ban: \"We can\\'t lose sight of the benefits that technology, including mobile phones, can bring to high quality teaching and learning.\"Some pupils with special needs will be exempt from the ban, including those who require telephones to monitor health conditions or those who have received permission from a teacher.  ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering the context and descriptions provided in the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Victoria\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The Australian state where the cellphone ban in classrooms was announced.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"James Merlino\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The Victoria Education Minister who announced the cellphone ban.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"New South Wales\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"Australia\\'s largest state that previously banned mobile phones in primary schools.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"France\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"A country that has banned all smart phones and smart devices from schools.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Dan Tehan\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The Australian Education Minister who supported the Victoria ban.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Monash University\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The university where a survey on cell-phone use in schools was conducted.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Neil Selwyn\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A professor at Monash University who conducted the survey on cell-phone use in schools.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Ann Marie\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A secondary school principal in Victoria who discussed the impact of the cellphone ban.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Australian Education Union Victoria\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"An organization that supports the cellphone ban but highlights the benefits of technology in education.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"James Merlino\",\\n\\n\"description\": \"James Merlino, the Victoria Education Minister, announced the cellphone ban in Victoria.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"New South Wales\",\\n\\n\"description\": \"The cellphone ban in Victoria follows a similar ban in New South Wales.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"France\",\\n\\n\"description\": \"The cellphone ban in Victoria is similar to a ban in France.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Dan Tehan\",\\n\\n\"description\": \"Dan Tehan, the Australian Education Minister, supported the Victoria ban.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Monash University\",\\n\\n\"description\": \"A survey conducted at Monash University showed support for the Victoria ban.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Neil Selwyn\",\\n\\n\"description\": \"Neil Selwyn, a professor at Monash University, conducted the survey on cell-phone use in schools.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Ann Marie\",\\n\\n\"description\": \"Ann Marie, a secondary school principal in Victoria, discussed the impact of the cellphone ban.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Victoria\",\\n\\n\"tgt_id\": \"Australian Education Union Victoria\",\\n\\n\"description\": \"The Australian Education Union Victoria supports the cellphone ban but highlights the benefits of technology in education.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': 'Manchester, England (CNN)Boris Johnson wants to keep his Brexit plan private. But the Prime Minister isn\\'t having much luck these days. On Monday night, Irish broadcaster RTE reported what it claimed were details of part of Johnson\\'s plan to break the Brexit deadlock. According to RTE, the UK\\'s plan to avoid post-Brexit infrastructure on the frontier between Northern Ireland and the Republic of Ireland involve \"customs clearance centers\" several miles from the border -- and on both sides of it. The women of Boris Johnson\\'s past are starting to catch up with himThat, it hopes, will remove the need for something called the Irish border backstop from any final Brexit deal. The backstop is an emergency measure which would keep the two Irish nations in regulatory alignment, removing the need for any border or \"clearance centers\" at all. It\\'s deeply unpopular with many in Johnson\\'s Conservative party and is one of the main reasons his predecessor, Theresa May, failed to get her Withdrawal Agreement through Parliament.Ireland quickly dismissed the idea as a \"non starter\". And Johnson himself told the BBC on Tuesday, \"that\\'s not what we\\'re proposing at all... you\\'ll forgive me, I would like to veil our proposals in decent obscurity until we\\'ve been able to share them properly with our friends\". Read MoreSo why is this story a big deal? Keeping the government\\'s formal proposals from Brussels for the time being might be wise. The crunch EU summit, at which any Brexit deal will be struck, is now under three weeks away. JUST WATCHEDBoris Johnson tells opponents to hold no-confidence voteReplayMore Videos ...MUST WATCHBoris Johnson tells opponents to hold no-confidence vote 02:41The EU is a notoriously tough institution to negotiate with and has a history of tearing apart any Brexit proposal from the moment it leaves the door. Johnson has repeatedly said that the only way to make the EU budge on ditching the backstop is to show that he is both deadly serious about getting a deal but also prepared to leave without one. Some of the ideas reported by RTE chime with speculation about the UK government\\'s plans in recent weeks.  And anyone who has followed Brexit for the last three years will tell you, the EU and Ireland will refuse to sign a deal that involves infrastructure between Ireland and Northern Ireland. So, even though the Prime Minister has distanced himself from the proposals, these headlines will have done little to reassure Brussels that Johnson and his government are serious about getting a deal. It\\'s also a bad look for Johnson back home. He is currently out of London and at his Conservative party\\'s annual conference in Manchester, in the north of England. Johnson will close the conference with a keynote speech on Wednesday afternoon. British politics has been taken over by trollsIt\\'s widely thought that he wanted to trail his final Brexit plan during this speech before formally submitting something to Brussels in the subsequent days. The problem with the leak of any Brexit plan now is that it increases the risk of Johnson being greeted by a hostile audience at his conference on Wednesday. Despite being the Brexit hero of 2016, Conservative hard-Brexiteers are deeply worried that Johnson, if he succeeds in getting rid of the backstop, will simply try and push through the rest May\\'s Brexit deal.For Brexiteers, this would be a huge sellout. There are people sitting in Johnson\\'s cabinet who resigned from Theresa May\\'s government to vote against her Brexit deal. And Johnson himself resigned as May\\'s Foreign Secretary over her general approach to Brexit. Up here in Manchester, the mood among party members is generally positive. Johnson has always been a popular Conservative MP and he seems to have broad support for his hard Brexit language. That could turn sour if he\\'s seen to make concessions to Brussels. Which would all be somewhat ironic, for a man who has spent the past few days accusing his opponents of surrendering. ', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We first identify the entities in the text based on the provided entity types. We then determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Boris Johnson\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"The Prime Minister of the United Kingdom who is leading the Brexit negotiations.\",\\n\\n\"importance_score\": 1.0\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Brexit\",\\n\\n\"entity_type\": \"EVENT\",\\n\\n\"description\": \"The process of the United Kingdom withdrawing from the European Union.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"European Union\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A political and economic union of 27 European countries.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Irish border backstop\",\\n\\n\"entity_type\": \"LAW\",\\n\\n\"description\": \"An emergency measure to keep the two Irish nations in regulatory alignment, removing the need for any border or \\'clearance centers\\'.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Theresa May\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"Former Prime Minister of the United Kingdom and predecessor of Boris Johnson.\",\\n\\n\"importance_score\": 0.6\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Conservative party\",\\n\\n\"entity_type\": \"POLITICAL_PARTY\",\\n\\n\"description\": \"The political party in the United Kingdom to which Boris Johnson and Theresa May belong.\",\\n\\n\"importance_score\": 0.5\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"RTE\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"Irish broadcaster that reported details of Johnson\\'s Brexit plan.\",\\n\\n\"importance_score\": 0.4\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Boris Johnson\",\\n\\n\"tgt_id\": \"Brexit\",\\n\\n\"description\": \"Boris Johnson is leading the Brexit negotiations as the Prime Minister of the United Kingdom.\",\\n\\n\"weight\": 1.0,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Brexit\",\\n\\n\"tgt_id\": \"European Union\",\\n\\n\"description\": \"Brexit involves the United Kingdom withdrawing from the European Union.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Boris Johnson\",\\n\\n\"tgt_id\": \"Irish border backstop\",\\n\\n\"description\": \"Boris Johnson aims to remove the Irish border backstop from any final Brexit deal.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Theresa May\",\\n\\n\"tgt_id\": \"Brexit\",\\n\\n\"description\": \"Theresa May failed to get her Withdrawal Agreement through Parliament due to the Irish border backstop.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Boris Johnson\",\\n\\n\"tgt_id\": \"Conservative party\",\\n\\n\"description\": \"Boris Johnson is a member of the Conservative party and its leader.\",\\n\\n\"weight\": 0.6,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"RTE\",\\n\\n\"tgt_id\": \"Boris Johnson\",\\n\\n\"description\": \"RTE reported details of part of Johnson\\'s plan to break the Brexit deadlock.\",\\n\\n\"weight\": 0.5,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'augmented': True, 'input_text': ' (CNN)Across the sports world, athletes took a stand for Black Lives Matter on Wednesday night by holding an unprecedented wildcat strike and refusing to play their regularly scheduled games.The decision started with the NBA\\'s Milwaukee Bucks and stemmed from the police shooting of Jacob Blake in Kenosha, Wisconsin, on Sunday. The stand quickly spread across a number of sports -- from basketball courts in Florida to baseball diamonds in California to soccer fields in places like Miami and Salt Lake City and even into the broadcast booth, where TNT\\'s \"Inside the NBA\" analyst Kenny Smith took off his mic and walked off stage.But the issue is bigger than Jacob Blake or George Floyd or Breonna Taylor. Malcolm Jenkins of the NFL\\'s New Orleans Saints positioned the protests as a response to the systemic racism baked into America, including police violence, cycles of incarceration, and the plunder of generational wealth.\"Until we continue to demand it, until \\'Black Lives Matter\\' goes from just an idea or a goal that we\\'re trying to attain as a society and is actually realized in the streets, we won\\'t see any peace,\" he said. \"And I think we\\'ll continue to see athletes, entertainers as well as citizens disrupt the status quo until that\\'s recognized.\"Here\\'s a look at the teams and athletes who pulled back in order to have their voices be heard.Read MoreNBA Photos: The sports world has been taking a standMembers of the Los Angeles Lakers and the Miami Heat kneel during the National Anthem before Game 1 of the NBA Finals on Wednesday, September 30.Hide Caption 1 of 42 Photos: The sports world has been taking a standThe Philadelphia Eagles and the Washington Football Team stand together before their NFL season opener on September 13.Hide Caption 2 of 42 Photos: The sports world has been taking a standTyler Wright, a two-time World Surf League Champion, takes a knee before competing in an event in Tweed Heads South, Australia, on September 13.Hide Caption 3 of 42 Photos: The sports world has been taking a standTennis star Naomi Osaka wears a face mask with Tamir Rice\\'s name before winning the US Open final on September 12. Osaka wore a different name for each of her seven matches. Rice, a 12-year-old boy, was killed by police gunfire in Cleveland while he was holding a toy replica pistol in 2014.Hide Caption 4 of 42 Photos: The sports world has been taking a standChelsea\\'s Pernille Harder walks out for a warm-up before a soccer match in Leigh, England, on September 6.Hide Caption 5 of 42 Photos: The sports world has been taking a standThe University of Alabama football team, led by coach Nick Saban, marches on campus in support of the Black Lives Matter movement.Hide Caption 6 of 42 Photos: The sports world has been taking a standBlack Lives Matter signage is seen in New York\\'s Louis Armstrong Stadium as Cori Gauff plays against Anastasija Sevastova at the US Open.Hide Caption 7 of 42 Photos: The sports world has been taking a standMembers of the WNBA\\'s Indiana Fever wear Black Lives Matter shirts before their game against the Chicago Sky on August 31.Hide Caption 8 of 42 Photos: The sports world has been taking a standMiami Marlins outfielder Lewis Brinson walks off the field August 27 after placing a Black Lives Matter T-shirt on home plate in New York. The Marlins and New York Mets walked off the field after a moment of silence, choosing not to play their scheduled baseball game. Hide Caption 9 of 42 Photos: The sports world has been taking a standNew Orleans Saints wide receiver Emmanuel Sanders wears Jacob Blake\\'s name on his helmet during a practice on August 27.Hide Caption 10 of 42 Photos: The sports world has been taking a standThe Washington Mystics pay tribute to Jacob Blake after their WNBA game was postponed in Palmetto, Florida, on August 26.Hide Caption 11 of 42 Photos: The sports world has been taking a standA grounds crew covers the field at San Francisco\\'s Oracle Park after a Major League Baseball game was postponed on August 26.Hide Caption 12 of 42 Photos: The sports world has been taking a standThe Milwaukee Bucks make a statement to the media after boycotting a playoff game on August 26.Hide Caption 13 of 42 Photos: The sports world has been taking a standDuring a practice round for the BMW Championship, pro golfer Cameron Champ used his shoes to show his support for Blake and the Black Lives Matter movement.Hide Caption 14 of 42 Photos: The sports world has been taking a standNBA superstar LeBron James has been one of the most outspoken athletes in recent months. \"Having two boys of my own and me being African American in America and to see what continues to happen with the police brutality towards my kind, continue to see what goes on with just the (unjust), it\\'s very troubling. It\\'s very troubling,\" James told Turner Sports\\' Jared Greenberg. \"My prayers go to (the Blake) family, and hopefully we can have some change.\" Hide Caption 15 of 42 Photos: The sports world has been taking a stand\"End racism\" banners are shown in Toronto\\'s Scotiabank Arena before an NHL playoff game on August 26.Hide Caption 16 of 42 Photos: The sports world has been taking a standDoc Rivers, head coach of the NBA\\'s Los Angeles Clippers, became emotional while talking about the Blake shooting and the Republican National Convention. \"All you hear is Donald Trump and all of them talking about fear,\" Rivers said. \"We\\'re the ones getting killed. We\\'re the ones getting shot. We\\'re the ones who were denied to live in certain communities. We\\'ve been hung. We\\'ve been shot.\"Hide Caption 17 of 42 Photos: The sports world has been taking a standDetroit Lions defensive end Trey Flowers addresses the media with his teammates outside their practice facility on August 25. The Lions canceled their practice in light of the Blake shooting, and they discussed the incident in a team meeting that lasted hours. \"We\\'re going to spread our message; we\\'re going to do it as a team,\" Flowers said. \"We understand that somebody\\'s going to try to skew the narrative ... get the message lost, but we\\'re going to stay focused on the topic.\"Hide Caption 18 of 42 Photos: The sports world has been taking a standA Real Salt Lake fan sits in the stands after the Major League Soccer team had its game postponed on August 26.Hide Caption 19 of 42 Photos: The sports world has been taking a standNASCAR driver Bubba Wallace\\xa0tweeted this selfie\\xa0before a Cup Series race in Talladega, Alabama, on June 22. Fellow drivers and pit crew members\\xa0walked alongside Wallace\\'s car\\xa0to show their support for him. Wallace, the only Black driver in NASCAR\\'s top circuit, has been an outspoken advocate of the Black Lives Matter movement. Hide Caption 20 of 42 Photos: The sports world has been taking a standMembers of the NHL\\'s Colorado Avalanche, Vegas Golden Knights, Dallas Stars and Vancouver Canucks gather together after their playoff games were postponed in Edmonton, Alberta.Hide Caption 21 of 42 Photos: The sports world has been taking a standThe Black Lives Matter protests haven\\'t been limited to just North America. Here, professional soccer players from Aston Villa and Sheffield United take a knee as their match kicked off in Birmingham, England, on June 17. Premier League teams sported the words \"Black Lives Matter\" on the back of their jerseys when their seasons resumed.Hide Caption 22 of 42 Photos: The sports world has been taking a standFormula One champion Lewis Hamilton raises his fist before a race in Northampton, England, on August 9.Hide Caption 23 of 42 Photos: The sports world has been taking a standMatt Dumba of the Minnesota Wild\\xa0kneels during the US National Anthem\\xa0as it is played before an NHL game in Edmonton, Alberta, on August 1. Dumba, a member of the Hockey Diversity Alliance, gave a short speech before kneeling. He is circled by members of the Edmonton Oilers and the Chicago Blackhawks, who were about to play on the first day of the NHL\\'s return.Hide Caption 24 of 42 Photos: The sports world has been taking a standSoccer players from PSG and Lyon take a knee before a Champions League semifinal in Bilbao, Spain, on August 26.Hide Caption 25 of 42 Photos: The sports world has been taking a standBeach volleyball player April Ross wears a temporary Black Lives Matter tattoo during a match in Long Beach, California, on July 19.Hide Caption 26 of 42 Photos: The sports world has been taking a standTennis players Dan Evans and Kyle Edmund join match umpire James Keothavong in taking a knee in London on June 28.Hide Caption 27 of 42 Photos: The sports world has been taking a standCricketers with the Kent Spitfires take a knee during a match in Canterbury, England.Hide Caption 28 of 42 Photos: The sports world has been taking a standFormula One driver Kimi Raikkonen wears an \"end racism\" shirt before a race in Barcelona, Spain, on August 16.Hide Caption 29 of 42 Photos: The sports world has been taking a standMembers of the Trinbago Knight Riders kneel before a cricket match in Port of Spain, Trinidad and Tobago.Hide Caption 30 of 42 Photos: The sports world has been taking a standThe Washington Nationals observe a moment of silence before Major League Baseball\\'s opening game on July 23. Their opponents, The New York Yankees, also took a knee, and the initials BLM were on the pitcher\\'s mound for the game.Hide Caption 31 of 42 Photos: The sports world has been taking a standMajor League Soccer players participate in a pregame ceremony before the league\\'s restart on July 8.Hide Caption 32 of 42 Photos: The sports world has been taking a standHouston Dynamo goalkeeper Cody Cropper warms up in a Black Lives Matter T-shirt on August 25.Hide Caption 33 of 42 Photos: The sports world has been taking a standThe Boston Red Sox Foundation put this sign behind Fenway Park\\'s famous \"Green Monster\" outfield wall.Hide Caption 34 of 42 Photos: The sports world has been taking a standRugby players from Bath and Northampton show their support before a game in Northampton, England.Hide Caption 35 of 42 Photos: The sports world has been taking a standKansas City outfielder Jorge Soler catches a ball in front of a George Floyd sign in Minneapolis on August 15.Hide Caption 36 of 42 Photos: The sports world has been taking a standA Houston Dash player wears a Black Lives Matter armband before a NWSL match in Herriman, Utah, on July 17.Hide Caption 37 of 42 Photos: The sports world has been taking a standAfter winning the Champions League, Bayern Munich defender David Alaba wears a shirt that says \"Black Lives Still Matter.\"Hide Caption 38 of 42 Photos: The sports world has been taking a standA Black Lives Matter sign is seen during a Major League Soccer match in Harrison, New Jersey, on August 24.Hide Caption 39 of 42 Photos: The sports world has been taking a standMembers of the San Antonio Spurs huddle before a game against Sacramento on July 31.Hide Caption 40 of 42 Photos: The sports world has been taking a standKilmarnock manager Alex Dyer, second from right, takes a knee before a soccer match in Glasgow, Scotland.Hide Caption 41 of 42 Photos: The sports world has been taking a standMembers of the Orlando Magic and Brooklyn Nets kneel during the National Anthem before the start of an NBA game on July 31.Hide Caption 42 of 42The Milwaukee Bucks did not emerge from their locker room before the scheduled tip at 4 p.m. Wednesday as they decided to refuse to play their playoff game.Soon after, the NBA announced it would postpone Game 5 of three different playoff series -- the Bucks vs. Orlando Magic, Houston Rockets vs. Oklahoma City Thunder and Los Angeles Lakers vs. Portland Trail Blazers.The postponed games have not yet been rescheduled.Three playoff games on Thursday also were postponed but the league said it hoped to resume games Friday or Saturday. Strikes are banned under the NBA\\'s collective bargaining agreement, which means the Bucks players broke their own contract to protest racial injustice and police violence. In a statement issued on Wednesday afternoon, the Bucks players said they are \"calling for justice for Jacob Blake and demand the officers be held accountable. \"Full statement from the Milwaukee Bucks: pic.twitter.com/jjGEyVcCmB— Milwaukee Bucks (@Bucks) August 26, 2020\\n\\n\"The past four months have shed a light on the ongoing racial injustices facing our African American communities. Citizens around the country have used their voices and platforms to speak out against these wrongdoings,\" they said in a statement.\"Despite the overwhelming plea for change, there has been no action, so our focus today cannot be on basketball.\"The Los Angeles Lakers also offered a statement in support of the players\\' decision.\"Eighty percent of NBA players are Black men. We cannot love them for the joy and entertainment that they bring to the world, yet sit in silence and fail to use our platforms and resources to amplify their voices when they demand the justice and equality that America has promised us all, but denied Black people for too long,\" the Lakers said.WNBAElizabeth Williams of the Atlanta Dream said WNBA players were standing in solidarity with \"our brothers in the NBA.\"Representing the six teams slated to play on Wednesday, Atlanta Dream player Elizabeth Williams announced that WNBA players were standing in solidarity with \"our brothers in the NBA\" and also would not play. The ESPN2 broadcast showed players from the six teams scheduled to take the court in locked arms and kneeling while wearing shirts spelling out Jacob Blake\\'s name. The WNBA announced that the three games scheduled for Wednesday evening had been postponed. On Thursday, the league announced the postponement of the day\\'s three scheduled games as well.Instead of playing Thursday, the entire league of WNBA players stood arm-in-arm in solidarity.\"It is important to note that this is not a strike,\" said Women\\'s National Basketball Players Association (WNBPA) president and Los Angeles Sparks star Nneka Ogwumike, reading a statement from the players, to ESPN\\'s Holly Rowe. \"This is not a boycott. This is affirmatively a day of reflection. A day of informed action and mobilization.\"Ogwumike said players plan to play in games that are scheduled for Friday.\"I feel like as a group we decided last night that we want to play,\" Ogwumike said. \"There are games scheduled tomorrow. That\\'s what we\\'re ready to do, but that doesn\\'t come without, of course, demands of players to continue to amplify our voices in more ways than when we came here.\"We realize that the work is not easy, but we also understand that the work is never done. There are things that happen that just allow us times to take a moment -- that\\'s fair; we can take a moment -- and that moment we came together and we decided we need time for ourselves to come back, regroup and continue to amplify our voices, and be there for our communities and demand change from the leaders that are representing us right now.\"MLBThe words \\'Black Lives Matter\\' are displayed on the digital screen after the postponement of the game between the San Francisco Giants and the Los Angeles Dodgers Wednesday.Three MLB games were postponed Wednesday: Cincinnati Reds vs. Milwaukee Brewers, Seattle Mariners vs. San Diego Padres, Los Angeles Dodgers vs. San Francisco Giants.\"With our community and our nation in such pain, we wanted to draw as much attention to the issues that really matter, especially racial injustice and systemic oppression,\" a joint statement from the Brewers and Reds said.\"Given the pain in the communities of Wisconsin and beyond following the shooting of Jacob Blake, we respect the decisions of a number of players not to play tonight,\" a league statement Wednesday said. \"Major League Baseball remains united for change in our society and we will be allies in the fight to end racism and injustice.\"Mets player Dominic Smith, who is Black, was driven to tears on Wednesday, telling reporters after the Mets defeated the Marlins, \"I think the most difficult part is to see people still don\\'t care. And for this to continuously happen it just shows just the hate in people\\'s heart and that just sucks. Being a Black man in America is not easy.\"On Thursday, seven games would not take place: Minnesota Twins vs. Detroit Tigers, Colorado Rockies vs. Arizona Diamondbacks, Baltimore Orioles vs. Tampa Bay Rays, Oakland Athletics vs. Texas Rangers, Philadelphia Phillies vs. Washington Nationals, Boston Red Sox vs. Toronto Blue Jays and Miami Marlins vs. New York Mets.Athletes across US sports take a stand, as games are called off in solidarity with Bucks\\' boycottIn a powerful moment Thursday at Citi Field in New York, the Mets starting defense took the field as scheduled, and then the remaining players for both teams came out of their dugouts and a moment of silence was observed, which the SNY television broadcast said lasted 42 seconds, and then walked off the field.Before he left the field, Miami Marlins player Lewis Brinson laid a \"Black Lives Matter\" shirt at home plate.\"Enough,\" the Marlins tweeted.Enough. pic.twitter.com/25SnNMCfBu— Miami Marlins (@Marlins) August 27, 2020 MLB is scheduled to observe Jackie Robinson Day on Friday to honor the color-barrier-breaking Hall of Famer, who wore number 42.NFLSeveral National Football League teams canceled practice Thursday to focus on conversations about race.The Denver Broncos joined the Arizona Cardinals, Indianapolis Colts, Washington Football Team and New York Jets in forgoing practice to allow players to weigh in on what they can do to effect change.The Chicago Bears said in a statement Thursday that the organization had decided to pause football activities \"to voice to each other, our coaches and our staff where we stand on the real issues around race and police brutality in our country.\"\"We had a productive discussion, but we all agreed that talks and discussions are simply not enough anymore and we need action,\" the statement said. \"We are putting in plans to take action in our communities and together we believe we can make a real difference. We need action not only today, but in the days to come.\"MLSInter Miami midfielder Lee Nguyen exits the field after Inter Miami and Atlanta United players decided not to play.Five Major League Soccer games scheduled to take place on Wednesday night were postponed, the league announced.\"The entire Major League Soccer family unequivocally condemns racism and has always stood for equality, but we need to do more to take tangible steps to impact change,\" MLS said. \"We will continue to work without players, our clubs and the broader soccer community to harness our collective power to fight for equality and social justice.\"TennisTennis superstar Naomi Osaka announced Wednesday that she would not play in the Western & Southern Open semifinals on Thursday. \"Watching the continued genocide of Black people at the hand of the police is honestly making me sick to my stomach,\" she wrote.Later on Wednesday, after Osaka\\'s post, it was announced that the Western & Southern Open would pause tournament play on Thursday, resuming on Friday.By Thursday, a statement by her management team to The Guardian and The New York Times indicated she planned to play Friday instead.\"They offered to postpone all matches until Friday and in my mind that brings more attention to the movement,\" Osaka said. She also thanked the WTA and the tournament for their support.A WTA spokesperson tells CNN that Osaka did not officially withdraw from the Western & Southern Open on Wednesday. She is scheduled to play Elise Mertens in the semifinals on Friday.NHLThe NHL\\'s Stanley Cup Playoffs continued Wednesday with two games. However, the league opted to postpone two games scheduled for Thursday and two scheduled for Friday.\"After much discussion, NHL Players believe that the best course of action would be to take a step back and not play tonight\\'s and tomorrow\\'s games as scheduled,\" a Thursday joint statement from the league and the players association said. \"The NHL supports the Players\\' decision and will reschedule those four games beginning Saturday and adjust the remainder of the Second Round schedule accordingly. \"Black and Brown communities continue to face real, painful experiences. The NHL and NHLPA recognize that much work remains to be done before we can play an appropriate role in a discussion centered on diversity, inclusion and social justice.\"Before the start of Game 3 of the second-round series between the Tampa Bay Lightning and Boston Bruins on Wednesday, there was a moment of reflection for racism in response to the Blake shooting.CNN\\'s Ray Sanchez, Eric Levenson and Cesar Marin contributed to this report.', 'entity_types': ['PERSON', 'ORGANIZATION', 'LOCATION', 'DATE', 'TIME', 'MONEY', 'PERCENTAGE', 'PRODUCT', 'EVENT', 'LANGUAGE', 'NATIONALITY', 'RELIGION', 'TITLE', 'PROFESSION', 'ANIMAL', 'PLANT', 'DISEASE', 'MEDICATION', 'CHEMICAL', 'MATERIAL', 'COLOR', 'SHAPE', 'MEASUREMENT', 'WEATHER', 'NATURAL_DISASTER', 'AWARD', 'LAW', 'CRIME', 'TECHNOLOGY', 'SOFTWARE', 'HARDWARE', 'VEHICLE', 'FOOD', 'DRINK', 'SPORT', 'MUSIC_GENRE', 'INSTRUMENT', 'ARTWORK', 'BOOK', 'MOVIE', 'TV_SHOW', 'ACADEMIC_SUBJECT', 'SCIENTIFIC_THEORY', 'POLITICAL_PARTY', 'CURRENCY', 'STOCK_SYMBOL', 'FILE_TYPE', 'PROGRAMMING_LANGUAGE', 'MEDICAL_PROCEDURE', 'CELESTIAL_BODY'], 'reasoning': 'produce the entities_relationships. We will first identify the entities in the text based on the provided entity types. Then, we will determine the relationships between these entities, focusing on the interactions and associations described in the text. Finally, we will format the entities and relationships according to the specified JSON schema.', 'entities_relationships': '```json\\n\\n{\\n\\n\"value\": [\\n\\n{\\n\\n\"entity_name\": \"Milwaukee Bucks\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"An NBA team that initiated the wildcat strike.\",\\n\\n\"importance_score\": 0.9\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Jacob Blake\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A person who was shot by police, leading to the sports world\\'s protest.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Kenosha, Wisconsin\",\\n\\n\"entity_type\": \"LOCATION\",\\n\\n\"description\": \"The location where Jacob Blake was shot by police.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"NBA\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The National Basketball Association, which saw multiple teams participating in the strike.\",\\n\\n\"importance_score\": 0.8\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Los Angeles Lakers\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"An NBA team that supported the strike.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"WNBA\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"The Women\\'s National Basketball Association, which also participated in the strike.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Major League Baseball (MLB)\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A professional baseball organization where games were postponed in solidarity.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"National Football League (NFL)\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A professional football league where teams canceled practices to discuss racial issues.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Major League Soccer (MLS)\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A professional soccer league where games were postponed in solidarity.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"Naomi Osaka\",\\n\\n\"entity_type\": \"PERSON\",\\n\\n\"description\": \"A tennis superstar who refused to play in a tournament to protest racial injustice.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"entity_name\": \"National Hockey League (NHL)\",\\n\\n\"entity_type\": \"ORGANIZATION\",\\n\\n\"description\": \"A professional hockey league where games were postponed in solidarity.\",\\n\\n\"importance_score\": 0.7\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Milwaukee Bucks\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The Milwaukee Bucks initiated a wildcat strike in the NBA.\",\\n\\n\"weight\": 0.9,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Milwaukee Bucks\",\\n\\n\"tgt_id\": \"Jacob Blake\",\\n\\n\"description\": \"The Milwaukee Bucks\\' strike was in response to the police shooting of Jacob Blake.\",\\n\\n\"weight\": 0.8,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Los Angeles Lakers\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The Los Angeles Lakers supported the strike in the NBA.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"WNBA\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The WNBA stood in solidarity with the NBA during the strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Major League Baseball (MLB)\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The MLB postponed games in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"National Football League (NFL)\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The NFL canceled practices to discuss racial issues in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Major League Soccer (MLS)\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The MLS postponed games in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"Naomi Osaka\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"Naomi Osaka refused to play in a tournament in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n},\\n\\n{\\n\\n\"src_id\": \"National Hockey League (NHL)\",\\n\\n\"tgt_id\": \"NBA\",\\n\\n\"description\": \"The NHL postponed games in solidarity with the NBA strike.\",\\n\\n\"weight\": 0.7,\\n\\n\"order\": 1\\n\\n}\\n\\n]\\n\\n}\\n\\n```'}) (input_keys=None), Example({'input_text': 'Story highlightsRory McIlroy and Luke Donald lead the way after second day in DubaiScotland\\'s 189th ranked Marc Warren also level with leaders on 11-underSergio Garcia equals course record of 64 following round of eight-underSouth African duo Louis Oosthuizen and Branden Grace a shot off the leadRory McIlroy and Luke Donald look set to fight it out for the $8million prize at the World Tour Championship after finishing level at the top of the leaderboard Friday.The pair, who are joined on 11-under by Scotland\\'s world No.189 Marc Warren, are in pole position after another impressive day on the Earth course.World no.1 McIlroy, who revealed that he had been suffering with the extreme heat, looked in top form with tennis ace girlfriend Caroline Wozniacki smiling on from the gallery.Top two dominate in Dubai   \"I didn\\'t feel great last night, but I felt much better this morning and felt nearly 100 % on the golf course,\" McIlroy told reporters.   \"I guess it\\'s just us Irish and the skin just not used to this sort of sun.  That\\'s my excuse anyway.JUST WATCHEDTiger and Rory talk friendly competitionReplayMore Videos ...MUST WATCHTiger and Rory talk friendly competition 01:29JUST WATCHEDExclusive: Tiger and Rory\\'s \\'bromance\\'ReplayMore Videos ...MUST WATCHExclusive: Tiger and Rory\\'s \\'bromance\\' 09:34JUST WATCHEDOchoa: Motherhood has changed meReplayMore Videos ...MUST WATCHOchoa: Motherhood has changed me 06:03   \"I played well. I continued to drive the ball really well and gave myself plenty of opportunities. It was a solid round and obviously, puts me in a good position going into the weekend.   \"I am as motivated as I have been the whole year and I am not going to let it drop just for this week.\"McIlroy clinches money list doubleIt was another successful day for Englishman Donald, who hit a bogey-free round of 68 with two birdies on either half of the course. \"I haven\\'t dropped a shot in 36 holes, so that feels really good,\" he said.\"But it  wasn\\'t quite as good on the greens today...I had some opportunities on a few  holes that I just misread.\"While the world\\'s top two have dominated, the emergence of Warren has come of something of a surprise, not least to the man himself.   \"It was nice to be the Scot in that pack with the Englishman and the  Northern Irishman,\" said Warren, who is ranked 55th in the Race to Dubai.   \"It\\'s great to be in contention with guys like that. I just looked at the  leaderboard and kind of enjoyed it really. \"At the same time, I am just trying to stay patient and keep doing what I am doing. I am really looking forward to the weekend.\"While the top three stole the headlines, it was Spain\\'s Sergio Garcia who carded the round of the day after equalling the course record of eight-under 64.Elsewhere, South African pair Louis Oosthuizen (67) and Branden Grace (65) sit a shot off the lead with Masters champion Charl Schwartzel (67) and Scotsman Richie Ramsay (68) tied for sixth at nine-under par.', 'entities': [{'entity_name': 'RORY MCILROY', 'entity_type': 'PERSON', 'description': 'World no.1 golfer who is leading the tournament in Dubai.', 'importance_score': 1.0}, {'entity_name': 'LUKE DONALD', 'entity_type': 'PERSON', 'description': 'English golfer who is tied with Rory McIlroy at the top of the leaderboard.', 'importance_score': 0.9}, {'entity_name': 'MARC WARREN', 'entity_type': 'PERSON', 'description': \"Scotland's 189th ranked golfer who is also level with the leaders on 11-under.\", 'importance_score': 0.8}, {'entity_name': 'SERGIO GARCIA', 'entity_type': 'PERSON', 'description': 'Spanish golfer who equalled the course record of 64 following a round of eight-under.', 'importance_score': 0.7}, {'entity_name': 'LOUIS OOSTHUIZEN', 'entity_type': 'PERSON', 'description': 'South African golfer who is a shot off the lead.', 'importance_score': 0.6}, {'entity_name': 'BRANDEN GRACE', 'entity_type': 'PERSON', 'description': 'South African golfer who is a shot off the lead.', 'importance_score': 0.6}, {'entity_name': 'CAROLINE WOZNIACKI', 'entity_type': 'PERSON', 'description': 'Tennis ace girlfriend of Rory McIlroy, present in the gallery.', 'importance_score': 0.5}, {'entity_name': 'DUBAI', 'entity_type': 'LOCATION', 'description': 'Location where the golf tournament is taking place.', 'importance_score': 0.9}, {'entity_name': 'WORLD TOUR CHAMPIONSHIP', 'entity_type': 'EVENT', 'description': 'Golf tournament where the players are competing for an $8million prize.', 'importance_score': 1.0}, {'entity_name': '$8MILLION', 'entity_type': 'MONEY', 'description': 'Prize money for the winner of the World Tour Championship.', 'importance_score': 0.8}], 'relationships': [{'src_id': 'RORY MCILROY', 'tgt_id': 'LUKE DONALD', 'description': 'Rory McIlroy and Luke Donald are tied at the top of the leaderboard in the World Tour Championship.', 'weight': 1.0, 'order': 1}, {'src_id': 'RORY MCILROY', 'tgt_id': 'MARC WARREN', 'description': 'Rory McIlroy is tied with Marc Warren at the top of the leaderboard.', 'weight': 0.9, 'order': 1}, {'src_id': 'LUKE DONALD', 'tgt_id': 'MARC WARREN', 'description': 'Luke Donald is tied with Marc Warren at the top of the leaderboard.', 'weight': 0.9, 'order': 1}, {'src_id': 'RORY MCILROY', 'tgt_id': 'SERGIO GARCIA', 'description': 'Rory McIlroy is leading the tournament, while Sergio Garcia equalled the course record.', 'weight': 0.8, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'SERGIO GARCIA', 'description': 'Luke Donald is leading the tournament, while Sergio Garcia equalled the course record.', 'weight': 0.8, 'order': 2}, {'src_id': 'RORY MCILROY', 'tgt_id': 'LOUIS OOSTHUIZEN', 'description': 'Rory McIlroy is leading the tournament, while Louis Oosthuizen is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'LOUIS OOSTHUIZEN', 'description': 'Luke Donald is leading the tournament, while Louis Oosthuizen is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'RORY MCILROY', 'tgt_id': 'BRANDEN GRACE', 'description': 'Rory McIlroy is leading the tournament, while Branden Grace is a shot off the lead.', 'weight': 0.7, 'order': 2}, {'src_id': 'LUKE DONALD', 'tgt_id': 'BRANDEN GRACE', 'description': 'Luke Donald is leading the tournament, while Branden Grace is a shot off the lead.', 'weight': 0.7, 'order': 2}]}) (input_keys={'input_text'}), Example({'input_text': ' (CNN)It\\'s a question that has been asked for 50 years -- again and again.\"Why do these people continue to make a mockery of our culture?\" The question in 1970 was posed by Dennis Banks in reference to the use of Native American heritage being used for names and mascots for American sports teams. Banks was a Native American activist and a longtime leader of the American Indian Movement (AIM).Banks devoted much of his life and attention to campaigning for the team formerly known as the Washington Redskins to change its name.He died in 2017, aged 80, with the team\\'s name still intact.The Washington Football Team changed its name after 50 years of protests.Read MoreThe year 2020 put the issue of race front and center of political and societal debate.The killing of George Floyd also forced many sport teams that utilize Native American heritage to review that association -- be it their name or logo.Washington has changed its logo and is now known as the Washington Football Team. Additionally, the Kansas City Chiefs in the NFL, the Cleveland Indians and Atlanta Braves in the MLB, and the Chicago Blackhawks in the NHL have all looked inwards and made changes.Changes also came in Canada. In July, the Edmonton Eskimos football team announced that the team would retire the \"Eskimos\" name. The Inuit -- Indigenous People of the Canadian Arctic -- often take offense at the term \"Eskimo.\" \"While many fans are deeply committed to keeping the name, others are increasingly uncomfortable with the moniker,\" said the club in an official statement. The club said it had engaged with Inuit communities in recent years to discuss the name and felt now the time was right to change it.The team has retained its recognizable \"EE\" logo, but is yet to choose a new name. For the moment, the club is called the Edmonton Football Team or the EE Football Team. While originally a placeholder name, Washington president Jason Wright said the \"Football Team\" name may remain the team\\'s long-term name.But across the rest of the world, notably in Latin America, there\\'s arguably been less willingness to engage with the idea of what these associations potentially mean for Indigenous communities.In Latin America, it isn\\'t just the sporting world turning its back on Indigenous communities. According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.For Native Americans, the use -- and abuse -- of their images, likenesses and culture in sports is a contemporary form of the marginalization they have historically experienced.The director of First Peoples Worldwide Carla Fredericks told CNN that a lot of the offense caused is due to false representation and outright racism.\"Of course, in the US, Native Americans have endured a really brutal history of colonization, marginalization, and so on,\" she says.\"And one of the kind of end results about that is that Americans really don\\'t have a good grip on who contemporary Native American people are and so the only representative of us is the representation that we see in sport -- for many people. \"And obviously that\\'s troubling because that\\'s a caricatured representation and not an accurate representation of living, breathing cultures.\" The use of indigenous culture in sport is, therefore, an act that reminds Native Americans of their historic oppression at the hands of colonizers.There is also evidence to suggest that caricaturing Indigenous culture in sports causes depression, low self-esteem, substance abuse and even suicide among Native American youth.According to a study prepared for the UN, poverty rates, morbidity rates and infant mortality rates are all higher among Indigenous people in Latin American than the non-Indigenous.Fredericks adds that \"the notion of consent and stakeholder engagement\" -- or lack thereof -- is central to the issue too.She says consent is key when considering the acceptability of the use of Indigenous Peoples\\' culture, pointing to the UN Declaration on the Rights of Indigenous Peoples.\"I think the right approach at this point in time is really to seek counsel from those communities and ask them, you know, \\'Where do you stand on this? Is this something that you appreciate? Is it something that is harmful to you?\\'\"The issue has long been the focal point of media and activist attention in the US, particularly over professional sports franchises. But it is not a uniquely American issue, and it is not a social phenomenon that affects just Native Americans. It is a global problem, and one that affects Indigenous people around the world. The story beyond North AmericaThe Exeter Chiefs rugby union team in the UK, the KAA Gent soccer team in Belgium and the Kaizer Chiefs soccer team in South Africa all use a Native American man in headdress as their logos.While teams in the US are reviewing and removing similar logos and names, these teams have each chosen to keep their logo. This is in spite of public pressure in some cases.The logos of soccer teams Kaizer Chiefs in South Africa, KAA Gent in Belgium and rugby team Exeter Chiefs in the UK all have a Native American wearing a headdress.A recent petition, launched by an Exeter fan named Ash Green, asked the Exeter Chiefs to change its \"harmful use of Indigenous Peoples\\' imagery and branding.\" It initially gained 3,700 signatures and the club announced its board would meet to discuss a rebranding. However, that meeting resulted in only the retirement of the team\\'s mascot, \"Big Chief.\" The club released a statement saying that the logo would remain, and that the board took the view that it was \"in fact highly respectful.\"As for the \"Chiefs\" name, the club said that the name \"dated back into the early 1900s and had a long history with people in the Devon area,\" the English county in which Exeter lies.The Exeter Chiefs for Change, a group campaigning for the club to change its name and remove references to Native American culture, released a statement labeling the decision as \"incredibly disappointing,\" and that the club had \"thrown away an opportunity to show itself as an inclusive club.\" \"We accept that the intention of the club for the branding was originally positive and not derogatory,\" they continued. \"But now they know it is not perceived in that way, they are making a conscious decision to be intentionally offensive by continuing to use it.\"The group concluded its statement saying that they were \"horrified\" and that \"the decision will not age well.\"In their statement, the Chiefs said the club will be making no further comment on the matter.Exeter Chiefs rugby team has retired its mascot \"Big Chief\" but will not remove the \"Chiefs\" part of its name. KAA Gent has an extensive section on its website that speaks to the historic oppression and present-day struggle of Native Americans. It also explains the history of the club\\'s logo, and that the cultural context was \"a positive one.\" It says that the club represents \"respect, courage and honor. Values that they attributed to the Native Americans rather than to their White oppressor.\"Despite acknowledging the potential offense that its logo may cause, the club explains that it chooses to retain the logo as it \"draws attention throughout Europe to the social situation facing the Native American population today.\"KAA Gent acknowledge potential offense the team\\'s logo can cause, but said it would remain the club\\'s logo.In addition, the club says through its foundation, it is \"willing to investigate, along with representatives of the Native American population, if and how KAA Gent can organize a social partnership with an initiative in the United States that aims to bring about an improvement in the standard of living experienced by Native Americans, using football as a powerful instrument.\"CNN was told by the club that it reached out to \"some [Native American] organizations/representatives\" via Facebook in 2018 but received no rejection or acceptance of an \"exchange of views.\"The club says if a Native American organization did reach out, representatives \"would listen respectfully and try to establish such a partnership for the future.\"CNN contacted Kaizer Chiefs but did not receive a response at the time of publication.The Latin American storyIn Latin America, there is a case to be made that not only do the clubs not engage with Indigenous communities, but actively ignore scrutiny of practices. Only two of the five Latin American clubs contacted for this story responded to CNN.Guarani people are indigenous to South America, and live in Paraguay, Brazil, Argentina, Uruguay and Bolivia.The Guarani people represent the largest indigenous group in Brazil with a population of 51,000.They are one of the most vulnerable Indigenous groups in the world. In 2013, it was found that Guarani people suffer a murder rate four times higher than the national homicide rate in Brazil, according to the Brazilian non-governmental organization CIMI.Most of their land was taken from them during the twentieth century, and they have an unequaled suicide rate in South America.Guarani people in Brazil are one of the most vulnerable Indigenous groups in the world.In the world of soccer, there are numerous Brazilian teams named after the Guarani people.Second division side Guarani FC last played in the top division in 2010 and won the Serie A title in 1978.In Paraguay, the fourth most successful team is Club Guarani. These two sides represent the best known \"Guarani\" soccer clubs and it is unclear whether the clubs ever obtained the consent of the Guarani people. CNN reached out to both clubs to seek comment but didn\\'t receive a response from either.Guarani FC is based in Campinas, and is named in homage to the opera Il Guarany by Campinas-born composer Carlos Gomes. While the name is born out of an opera, it still marks an appropriation of an Indigenous peoples\\' identity.Fans of Guarani sometimes use an ethnic slur for an Indigenous Brazilian when referring to the club.Guarani FC have been promoted back to the Brazilian Serie A after one season in Serie B. The club came second to Neymar\\'s Santos in the 2012 Campeonato Paulista.There are numerous other examples across the continent where Indigenous culture is used by clubs without affiliation to Indigenous groups.Chapecoense made global headlines after a 2016 plane crash killed the vast majority of players and staff at the club.The club\\'s stadium was formerly known as Estadio Indio Conda. Brazilian football historian and podcaster Matias Pinto says that in Latin America, Indio is often a word regularly utilized as a racial slur that connotes indigenous people. \"In Brazil and other parts of Latin America, it depends how you say it. But when you chant \\'Indio\\' it\\'s derogatory,\" he says.He also adds that the club has no link to native people.\"Conda is an Indigenous leader from the past, so they honor this native hero in the West of Santa Catarina. But the Chapecoense fans are not native. They are mostly European descendants from the 19th century.\"The club\\'s mascot is an indigenous person -- in reality, a person wearing Chapecoense kit alongside a mask of an indigenous person. One can also download a cartoon image of the mascot from the club\\'s website, which is entitled \"Indio.\"Chapecoense was contacted by CNN but did not receive a response at the time of publication.Chapecoense\\'s mascot is an indigenous person.\"They were barbarians, they looked like the Xavantes.\"It isn\\'t just appropriation that can cause problems for Indigenous People, as Fredericks says: \"Unfortunately, because of the nature of sport, not only home team fans might behave in a way that\\'s very disparaging and appropriative. But the opposing team fans might engage in behavior that\\'s very insulting towards people.\"The Xavante are an Indigenous People in Brazil numbering approximately 22,000, according to Povos Indigenas no Brasil. Fans of the football club Gremio Esportivo Brasil, also known as Brasil de Pelotas -- which is based in the south of Brazil -- have been nicknamed Xavantes since 1946. According to an official statement made to CNN by the club, the nickname came about following a 1946 match against its main rivals Esporte Clube Pelotas. Down 3-1 at half time, Brasil de Pelotas came back in the second half to win 5-3. After the final whistle, fans of Brasil de Pelotas destroyed the fence separating the field from the stands and broke onto the field to celebrate.Following the game and the subsequent field invasion, an Esporte Clube Pelotas official gave a statement to the press, saying: \"They were barbarians, they looked like the Xavantes.\"Fans of Brasi de Pelotas, who wear red and black, are known as Xavantes after an official of a rival used it as a slur against them in 1946.The name was soon adopted by Brasil de Pelotas fans with pride and the club says that \"despite the pejorative\" meaning behind the name, it sees the name as \"an honor.\"\"It relates to the bravery of the indigenous tribe with the team. In our history, we have as main characteristics the guts, the fight for every ball and not to give up any play.\"The fans and the club adhered to the nickname and the likeable figure of the Indian, and today we are known in the country as Xavante, the red-black gaucho. And we won\\'t change it.\"Sao Paolo-based Pinto says that it goes further than that: \"It started with a slur but nowadays Brasil de Pelotas fans are very proud [to be] Xavantes,\" as fans perceive themselves similarly to the Xavante people: warlike, brave and tough.\"Pelotas is a city that is facing an exodus,\" he says. \"People are moving to other parts of Brazil. So they have a lot of supporters\\' clubs around Brazil and they always merge the name of the state/city with Xavantes.\"Pinto says that racist slurs against Indigenous People are most common in intercontinental football matches in South America.\"In the continental competitions it happens too. Here in Sao Paulo, we do not have a lot of Indigenous, in Buenos Aires and Montevideo too. In Sao Paulo we are more Black or White, not Indigenous. \"So when a club from Bolivia or Peru or Ecuador [visits], countries in the middle [of the continent] are closer to indigenous traces, the supporters from Brazilian clubs, Argentinian clubs, Uruguayan clubs reference these people as \\'Indios.\\'\"Brazilian president Jair Bolsonaro has actively sought to limit the legal protections of Indigenous People.While racism against Indigenous People through sport continues across the continent, in Brazil Pinto offers that, \"they have more urgent issues [with which] to struggle.\"He speaks with reference to president Jair Bolsonaro and the policies towards Indigenous People during his presidency.\"It was a promise that [Bolsonaro] made in his campaign,\" Pinto says. \"He will not concede any land to the communities, that he will explore the surface for miners, and the environmental minister is very close to the farmers and miners. So the Indigenous, since the first day of this government, are very scared about these promises.\"During the Covid-19 pandemic, Bolsonaro has actively sought to limit protections of Indigenous People as well as devastating indigenous lands while the world is distracted. CNN contacted the Brazilian government but did not receive a response at the time of publication.Positive steps in Latin AmericaChile\\'s most successful club Colo-Colo was founded by a White Chilean footballer but is named after Colocolo, a Mapuche tribal leader during the Arauco War fought against the Spanish colonizers.The club\\'s badge also features the likeness of Colocolo.Colo-Colo\\'s badge depicts its namesake, the Mapuche tribal leader Colocolo. Unlike many other clubs, Colo-Colo has actively engaged with the Indigenous community on which its name is based.In a statement, the club told CNN it believes there are \"essential differences\" from other teams around the globe which \"have a negative or derogatory charge.\"According to Pinto, the club was founded by \"rebels and workers\", so it acts as a symbol of an oppressed people fighting against oppressive powers.The club told CNN that the \"Mapuche identity is present and diluted in the Chilean population in a patent and documented way\" and as such the club has taken steps to recognize that.Colo-Colo flies the Mapuche flag alongside the Chilean flag at its stadium, and signage around the ground is written in both Spanish and Mapuche.The club said it was making efforts \"to seek an understanding and solution of the demands of the Mapuche people,\" along with \"performing ceremonies such as the the Mapuche June Solstice celebration in the stadium together with partners, fans, Mapuche communities and club authorities.\"Tribe members march for indigenous territorial rights on November 11, 2015 in Angra dos Reis, Brazil. Members of the Pataxo and Guarani tribes in Rio de Janeiro state joined the march. Pinto is less optimistic that real change will happen soon. Speaking of indigenous communities in his local Rio state, he said: \"They are very threatened by the Rio state ... they [Indigenous People] march and make demos but the majority of society doesn\\'t give a sh*t.\"There is still a long way to go in Latin America for Indigenous People, let alone their representation in sports.', 'entities': [{'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}, {'entity_name': 'DENNIS BANKS', 'entity_type': 'PERSON', 'description': 'A Native American activist and a longtime leader of the American Indian Movement (AIM).', 'importance_score': 0.9}, {'entity_name': 'AMERICAN INDIAN MOVEMENT', 'entity_type': 'ORGANIZATION', 'description': 'An organization led by Dennis Banks, focusing on Native American rights.', 'importance_score': 0.8}, {'entity_name': 'WASHINGTON REDSKINS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a sports team that Dennis Banks campaigned to change.', 'importance_score': 0.7}, {'entity_name': 'WASHINGTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the sports team formerly known as the Washington Redskins.', 'importance_score': 0.8}, {'entity_name': 'GEORGE FLOYD', 'entity_type': 'PERSON', 'description': 'A person whose killing in 2020 forced many sport teams to review their associations with Native American heritage.', 'importance_score': 0.9}, {'entity_name': 'KANSAS CITY CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NFL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CLEVELAND INDIANS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'ATLANTA BRAVES', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the MLB that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'CHICAGO BLACKHAWKS', 'entity_type': 'ORGANIZATION', 'description': 'A sports team in the NHL that has made changes regarding Native American heritage.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON ESKIMOS', 'entity_type': 'ORGANIZATION', 'description': 'A former name of a football team in Canada that has retired its name.', 'importance_score': 0.7}, {'entity_name': 'EDMONTON FOOTBALL TEAM', 'entity_type': 'ORGANIZATION', 'description': 'The new name of the football team formerly known as the Edmonton Eskimos.', 'importance_score': 0.7}, {'entity_name': 'EXETER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A rugby union team in the UK that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAA GENT', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Belgium that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'KAIZER CHIEFS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in South Africa that uses a Native American man in headdress as their logo.', 'importance_score': 0.7}, {'entity_name': 'GUARANI FC', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CLUB GUARANI', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Paraguay named after the Guarani people.', 'importance_score': 0.7}, {'entity_name': 'CHAPECOENSE', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil with a mascot that is an indigenous person.', 'importance_score': 0.7}, {'entity_name': 'BRASIL DE PELOTAS', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Brazil whose fans are nicknamed Xavantes.', 'importance_score': 0.7}, {'entity_name': 'COLO-COLO', 'entity_type': 'ORGANIZATION', 'description': 'A soccer team in Chile named after a Mapuche tribal leader.', 'importance_score': 0.7}], 'relationships': [{'src_id': 'DENNIS BANKS', 'tgt_id': 'AMERICAN INDIAN MOVEMENT', 'description': 'Dennis Banks was a longtime leader of the American Indian Movement.', 'weight': 0.9, 'order': 1}, {'src_id': 'DENNIS BANKS', 'tgt_id': 'WASHINGTON REDSKINS', 'description': 'Dennis Banks devoted much of his life to campaigning for the team formerly known as the Washington Redskins to change its name.', 'weight': 0.8, 'order': 1}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'WASHINGTON FOOTBALL TEAM', 'description': 'The killing of George Floyd forced the Washington Football Team to review its association with Native American heritage.', 'weight': 0.8, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'KANSAS CITY CHIEFS', 'description': 'The killing of George Floyd forced the Kansas City Chiefs to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CLEVELAND INDIANS', 'description': 'The killing of George Floyd forced the Cleveland Indians to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'ATLANTA BRAVES', 'description': 'The killing of George Floyd forced the Atlanta Braves to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'GEORGE FLOYD', 'tgt_id': 'CHICAGO BLACKHAWKS', 'description': 'The killing of George Floyd forced the Chicago Blackhawks to review its association with Native American heritage.', 'weight': 0.7, 'order': 2}, {'src_id': 'EDMONTON ESKIMOS', 'tgt_id': 'EDMONTON FOOTBALL TEAM', 'description': 'The Edmonton Eskimos retired their name and became the Edmonton Football Team.', 'weight': 0.8, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAA GENT', 'description': 'Both Exeter Chiefs and KAA Gent use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'EXETER CHIEFS', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both Exeter Chiefs and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'KAA GENT', 'tgt_id': 'KAIZER CHIEFS', 'description': 'Both KAA Gent and Kaizer Chiefs use a Native American man in headdress as their logos.', 'weight': 0.7, 'order': 1}, {'src_id': 'GUARANI FC', 'tgt_id': 'CLUB GUARANI', 'description': 'Both Guarani FC and Club Guarani are named after the Guarani people.', 'weight': 0.7, 'order': 1}, {'src_id': 'CHAPECOENSE', 'tgt_id': 'BRASIL DE PELOTAS', 'description': 'Both Chapecoense and Brasil de Pelotas have associations with indigenous culture.', 'weight': 0.7, 'order': 1}, {'src_id': 'COLO-COLO', 'tgt_id': 'MAPUCHE', 'description': 'Colo-Colo is named after a Mapuche tribal leader and has actively engaged with the Indigenous community.', 'weight': 0.8, 'order': 1}]}) (input_keys={'input_text'})]]} with Mean = 89.67\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 29.13139097744361 / 33  (88.3):  64%|██████▍   | 32/50 [00:00<00:00, 2565.57it/s] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 42.57861319966582 / 50  (85.2): 100%|██████████| 50/50 [01:16<00:00,  1.53s/it]  \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:15:05.108804Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 42.57861319966582 / 50 (85.2%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "UPDATING BEST SCORE WITH 85.16\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/20 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.5 / 1  (50.0):   5%|▌         | 1/20 [00:41<13:16, 41.93s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.2142857142857144 / 2  (60.7):  10%|█         | 2/20 [00:52<07:02, 23.49s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.0714285714285716 / 3  (69.0):  15%|█▌        | 3/20 [00:53<03:44, 13.23s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.071428571428571 / 5  (81.4):  25%|██▌       | 5/20 [00:55<01:23,  5.60s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.071428571428571 / 6  (84.5):  30%|███       | 6/20 [00:58<01:05,  4.71s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.071428571428571 / 7  (86.7):  35%|███▌      | 7/20 [01:01<00:52,  4.06s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.821428571428571 / 8  (85.3):  40%|████      | 8/20 [01:07<00:57,  4.77s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 16.284126984126985 / 20  (81.4): 100%|██████████| 20/20 [02:09<00:00,  6.49s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:17:15.033600Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 16.284126984126985 / 20 (81.4%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:17:15,041] Trial 10 finished with value: 84.6 and parameters: {'0_predictor_instruction': 5, '0_predictor_demos': 6}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 11\n",
      "INFO:root:instruction_idx 8\n",
      "INFO:root:demos_idx 6\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, meticulously identify and extract all entities present in the text that match the provided entity types. Subsequently, determine the relationships between these entities based on their interactions and the context provided. Ensure that the entities and relationships are formatted according to the specified JSON schema, including providing detailed descriptions and importance scores for each entity, as well as defining the source and target IDs, description, weight, and order for each relationship.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 21.475396825396825 / 25  (85.9): 100%|██████████| 25/25 [00:00<00:00, 5185.58it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:17:15.221858Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 21.475396825396825 / 25 (85.9%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.75 / 1  (75.0): 100%|██████████| 1/1 [00:00<00:00, 4563.99it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:17:15.228964Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.75 / 1 (75.0%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:17:15,233] Trial 11 finished with value: 85.9 and parameters: {'0_predictor_instruction': 8, '0_predictor_demos': 6}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 12\n",
      "INFO:root:instruction_idx 0\n",
      "INFO:root:demos_idx 7\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 85.9\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 17.793849206349208 / 21  (84.7):  80%|████████  | 20/25 [00:00<00:00, 3941.09it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 20.849404761904765 / 25  (83.4): 100%|██████████| 25/25 [01:09<00:00,  2.77s/it]  \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:18:24.543416Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 20.849404761904765 / 25 (83.4%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.6875 / 1  (68.8): 100%|██████████| 1/1 [00:00<00:00, 3844.46it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:18:24.553425Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.6875 / 1 (68.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:18:24,558] Trial 12 finished with value: 83.4 and parameters: {'0_predictor_instruction': 0, '0_predictor_demos': 7}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 13\n",
      "INFO:root:instruction_idx 8\n",
      "INFO:root:demos_idx 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 83.4\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, meticulously identify and extract all entities present in the text that match the provided entity types. Subsequently, determine the relationships between these entities based on their interactions and the context provided. Ensure that the entities and relationships are formatted according to the specified JSON schema, including providing detailed descriptions and importance scores for each entity, as well as defining the source and target IDs, description, weight, and order for each relationship.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 1.0 / 1  (100.0):   0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.571428571428571 / 4  (89.3):  12%|█▏        | 3/25 [00:34<06:15, 17.08s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.196428571428571 / 6  (86.6):  20%|██        | 5/25 [00:37<02:04,  6.24s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.196428571428571 / 7  (88.5):  28%|██▊       | 7/25 [00:40<01:16,  4.27s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.796428571428571 / 9  (86.6):  32%|███▏      | 8/25 [00:43<01:10,  4.17s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 8.79642857142857 / 10  (88.0):  40%|████      | 10/25 [00:44<00:41,  2.74s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.54642857142857 / 11  (86.8):  44%|████▍     | 11/25 [00:56<01:06,  4.74s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 11.48392857142857 / 13  (88.3):  48%|████▊     | 12/25 [00:58<00:50,  3.90s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 21.106150793650794 / 24  (87.9):  96%|█████████▌| 24/25 [03:58<00:37, 37.04s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 21.356150793650794 / 25  (85.4): 100%|██████████| 25/25 [08:23<00:00, 20.15s/it] \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:26:48.374563Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 21.356150793650794 / 25 (85.4%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.9375 / 1  (93.8): 100%|██████████| 1/1 [00:00<00:00, 2061.08it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:26:48.397803Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.9375 / 1 (93.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:26:48,404] Trial 13 finished with value: 85.42 and parameters: {'0_predictor_instruction': 8, '0_predictor_demos': 0}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 14\n",
      "INFO:root:instruction_idx 0\n",
      "INFO:root:demos_idx 6\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 85.42\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 20.842502088554724 / 25  (83.4): 100%|██████████| 25/25 [00:00<00:00, 5090.67it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:26:48.510647Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 20.842502088554724 / 25 (83.4%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.75 / 1  (75.0): 100%|██████████| 1/1 [00:00<00:00, 4951.95it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:26:48.517720Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.75 / 1 (75.0%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:26:48,522] Trial 14 finished with value: 83.37 and parameters: {'0_predictor_instruction': 0, '0_predictor_demos': 6}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 15\n",
      "INFO:root:instruction_idx 8\n",
      "INFO:root:demos_idx 9\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 83.37\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, meticulously identify and extract all entities present in the text that match the provided entity types. Subsequently, determine the relationships between these entities based on their interactions and the context provided. Ensure that the entities and relationships are formatted according to the specified JSON schema, including providing detailed descriptions and importance scores for each entity, as well as defining the source and target IDs, description, weight, and order for each relationship.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/25 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.6 / 1  (60.0):   4%|▍         | 1/25 [00:31<12:31, 31.31s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.2 / 2  (60.0):   8%|▊         | 2/25 [00:39<06:48, 17.77s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.8666666666666667 / 3  (62.2):  12%|█▏        | 3/25 [00:54<05:57, 16.25s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.466666666666667 / 4  (61.7):  16%|█▌        | 4/25 [00:55<03:39, 10.45s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.966666666666667 / 5  (59.3):  20%|██        | 5/25 [00:57<02:28,  7.41s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.966666666666667 / 6  (66.1):  24%|██▍       | 6/25 [01:00<01:50,  5.83s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.855555555555556 / 7  (69.4):  28%|██▊       | 7/25 [01:02<01:24,  4.68s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.855555555555556 / 8  (73.2):  32%|███▏      | 8/25 [01:05<01:08,  4.05s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.911111111111111 / 10  (69.1):  40%|████      | 10/25 [01:08<00:40,  2.73s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.611111111111112 / 11  (69.2):  44%|████▍     | 11/25 [01:11<00:36,  2.59s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 8.411111111111111 / 12  (70.1):  48%|████▊     | 12/25 [01:14<00:34,  2.68s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 9.161111111111111 / 13  (70.5):  52%|█████▏    | 13/25 [01:38<01:50,  9.18s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 18.294444444444448 / 25  (73.2): 100%|██████████| 25/25 [02:46<00:00,  6.64s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:29:34.654857Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 18.294444444444448 / 25 (73.2%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.5 / 1  (50.0): 100%|██████████| 1/1 [00:00<00:00, 1694.67it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:29:34.675482Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.5 / 1 (50.0%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:29:34,681] Trial 15 finished with value: 73.18 and parameters: {'0_predictor_instruction': 8, '0_predictor_demos': 9}. Best is trial 2 with value: 89.67.\n",
      "INFO:root:Starting trial num: 16\n",
      "INFO:root:instruction_idx 0\n",
      "INFO:root:demos_idx 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 73.18\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 17.57559523809524 / 20  (87.9):  76%|███████▌  | 19/25 [00:00<00:00, 1862.52it/s] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 22.422963659147868 / 25  (89.7): 100%|██████████| 25/25 [02:09<00:00,  5.17s/it] \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:31:44.061856Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 22.422963659147868 / 25 (89.7%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.9375 / 1  (93.8): 100%|██████████| 1/1 [00:00<00:00, 2387.20it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:31:44.082846Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.9375 / 1 (93.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:31:44,089] Trial 16 finished with value: 89.69 and parameters: {'0_predictor_instruction': 0, '0_predictor_demos': 1}. Best is trial 16 with value: 89.69.\n",
      "INFO:root:Starting trial num: 17\n",
      "INFO:root:instruction_idx 4\n",
      "INFO:root:demos_idx 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 89.69\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and a list of `entity_types`, meticulously extract entities and their relationships from the text. First, identify all entities in the text that match the provided entity types, ensuring each entity includes its name, type, a brief description, and an importance score. Next, determine the relationships between these entities by analyzing their interactions and dependencies within the context of the text. Each relationship should include the source entity ID, target entity ID, a description of the relationship, a weight indicating the strength of the relationship, and an order indicating the sequence of the relationship. Finally, format the entities and relationships according to the specified JSON schema, ensuring all fields are correctly populated and validated.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 17.161257309941522 / 20  (85.8):  76%|███████▌  | 19/25 [00:00<00:00, 4993.22it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 21.95014619883041 / 25  (87.8): 100%|██████████| 25/25 [01:15<00:00,  3.03s/it]   \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:33:00.017116Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 21.95014619883041 / 25 (87.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.9375 / 1  (93.8): 100%|██████████| 1/1 [00:00<00:00, 2083.61it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:33:00.038879Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.9375 / 1 (93.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:33:00,045] Trial 17 finished with value: 87.8 and parameters: {'0_predictor_instruction': 4, '0_predictor_demos': 1}. Best is trial 16 with value: 89.69.\n",
      "INFO:root:Starting trial num: 18\n",
      "INFO:root:instruction_idx 0\n",
      "INFO:root:demos_idx 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 87.8\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 17.972817460317458 / 20  (89.9):  76%|███████▌  | 19/25 [00:00<00:00, 4408.46it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 22.6156746031746 / 25  (90.5): 100%|██████████| 25/25 [01:00<00:00,  2.43s/it]    \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:34:00.907729Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 22.6156746031746 / 25 (90.5%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.9375 / 1  (93.8): 100%|██████████| 1/1 [00:00<00:00, 2189.09it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:34:00.929783Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.9375 / 1 (93.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:34:00,936] Trial 18 finished with value: 90.46 and parameters: {'0_predictor_instruction': 0, '0_predictor_demos': 1}. Best is trial 18 with value: 90.46.\n",
      "INFO:root:Starting trial num: 19\n",
      "INFO:root:instruction_idx 5\n",
      "INFO:root:demos_idx 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 90.46\n",
      "CANDIDATE PROGRAM:\n",
      "Predictor 0\n",
      "i: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide its `entity_name`, `entity_type`, a concise `description`, and an `importance_score`. Subsequently, determine and list the relationships between these entities, specifying the `src_id` (source entity), `tgt_id` (target entity), a `description` of the relationship, a `weight` indicating the strength of the relationship, and an `order` to indicate the sequence of relationships. Ensure that the relationships are coherent and directly derived from the context provided in the `input_text`.\n",
      "p: Entities Relationships:\n",
      "\n",
      "\n",
      "...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 19.388043024227233 / 24  (80.8):  92%|█████████▏| 23/25 [00:00<00:00, 4867.75it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 20.263043024227233 / 25  (81.1): 100%|██████████| 25/25 [00:56<00:00,  2.25s/it]  \n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:34:57.310459Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 20.263043024227233 / 25 (81.1%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL TRACE\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Average Metric: 0.9375 / 1  (93.8): 100%|██████████| 1/1 [00:00<00:00, 2207.53it/s]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:34:57.332555Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 0.9375 / 1 (93.8%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n",
      "[I 2024-09-20 19:34:57,339] Trial 19 finished with value: 81.05 and parameters: {'0_predictor_instruction': 5, '0_predictor_demos': 1}. Best is trial 18 with value: 90.46.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "...\n",
      "Score 81.05\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "extractor.predictor.predictor = Predict(StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
       "    instructions='Given the `input_text` and a list of `entity_types`, meticulously identify and extract all entities present in the text that match the provided entity types. Subsequently, determine the relationships between these entities based on their interactions and the context provided. Ensure that the entities and relationships are formatted according to the specified JSON schema, including providing detailed descriptions and importance scores for each entity, as well as defining the source and target IDs, description, weight, and order for each relationship.'\n",
       "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
       "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
       "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
       "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
       "))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "optimizer = MIPROv2(\n",
    "    prompt_model=deepseek,\n",
    "    task_model=qwen2,\n",
    "    metric=entity_recall_metric,\n",
    "    init_temperature=1.4,\n",
    "    num_candidates=10,\n",
    "    verbose=False\n",
    ")\n",
    "kwargs = dict(num_threads=os.cpu_count(), display_progress=True, display_table=0)\n",
    "miprov2_model = optimizer.compile(\n",
    "    model, \n",
    "    trainset=trainset[:50],\n",
    "    valset=valset[:20],\n",
    "    requires_permission_to_run=False,\n",
    "    num_batches=20, \n",
    "    max_labeled_demos=5, \n",
    "    max_bootstrapped_demos=3, \n",
    "    eval_kwargs=kwargs\n",
    ")\n",
    "miprov2_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "---\n",
      "\n",
      "Follow the following format.\n",
      "\n",
      "Input Text: The text to extract entities and relationships from.\n",
      "\n",
      "Entity Types: List of entity types used for extraction.\n",
      "\n",
      "Reasoning: Let's think step by step in order to ${produce the entities_relationships}. We ...\n",
      "\n",
      "Entities Relationships: List of entities and relationships extracted from the text.. Respond with a single JSON object. JSON Schema: {\"$defs\": {\"Entity\": {\"properties\": {\"entity_name\": {\"description\": \"The name of the entity.\", \"title\": \"Entity Name\", \"type\": \"string\"}, \"entity_type\": {\"description\": \"The type of the entity.\", \"title\": \"Entity Type\", \"type\": \"string\"}, \"description\": {\"description\": \"The description of the entity, in details and comprehensive.\", \"title\": \"Description\", \"type\": \"string\"}, \"importance_score\": {\"description\": \"Importance score of the entity. Should be between 0 and 1 with 1 being the most important.\", \"maximum\": 1.0, \"minimum\": 0.0, \"title\": \"Importance Score\", \"type\": \"number\"}}, \"required\": [\"entity_name\", \"entity_type\", \"description\", \"importance_score\"], \"title\": \"Entity\", \"type\": \"object\"}, \"Relationship\": {\"properties\": {\"src_id\": {\"description\": \"The name of the source entity.\", \"title\": \"Src Id\", \"type\": \"string\"}, \"tgt_id\": {\"description\": \"The name of the target entity.\", \"title\": \"Tgt Id\", \"type\": \"string\"}, \"description\": {\"description\": \"The description of the relationship between the source and target entity, in details and comprehensive.\", \"title\": \"Description\", \"type\": \"string\"}, \"weight\": {\"description\": \"The weight of the relationship. Should be between 0 and 1 with 1 being the strongest relationship.\", \"maximum\": 1.0, \"minimum\": 0.0, \"title\": \"Weight\", \"type\": \"number\"}, \"order\": {\"description\": \"The order of the relationship. 1 for direct relationships, 2 for second-order, 3 for third-order.\", \"maximum\": 3, \"minimum\": 1, \"title\": \"Order\", \"type\": \"integer\"}}, \"required\": [\"src_id\", \"tgt_id\", \"description\", \"weight\", \"order\"], \"title\": \"Relationship\", \"type\": \"object\"}}, \"properties\": {\"value\": {\"items\": {\"anyOf\": [{\"$ref\": \"#/$defs/Entity\"}, {\"$ref\": \"#/$defs/Relationship\"}]}, \"title\": \"Value\", \"type\": \"array\"}}, \"required\": [\"value\"], \"title\": \"Output\", \"type\": \"object\"}\n",
      "\n",
      "---\n",
      "\n",
      "Input Text:\n",
      "Melbourne, Australia (CNN)After spending part of the off-season training with Mike Tyson, Serena Williams is hoping to deliver a knockout punch at the Australian Open. Follow @cnnsport\n",
      "\n",
      "For Williams that would mean winning a record-tying 24th grand slam title, which has so far proved elusive despite getting close four times since returning to the tour after giving birth to daughter Alexis Olympia. Her preparation for the year's first major couldn't have gone much better, suggesting the mini grand slam drought for arguably tennis' greatest ever player is about to cease. Williams let rip into a punching bag in December -- drawing a compliment from former heavyweight boxing champion Tyson, whose daughter happens to be a budding tennis star -- and then won a buildup tournament in Auckland last week to incredibly land a title in a fourth straight decade. She also mingled with one of tennis' youngest sensations, Coco Gauff, as part of the training camp in Florida organized by her coach, Patrick Mouratoglou. JUST WATCHEDMouratoglou on Serena comeback and McEnroeReplayMore Videos ...MUST WATCHMouratoglou on Serena comeback and McEnroe 02:19Read MoreWilliams overcame singles opponents with differing styles, reached the doubles final with one of her best friends -- the soon-to-be retired Caroline Wozniacki -- and most crucially, ended a five-match losing streak in finals with her daughter and husband Alexis Ohanian looking on.  No wonder the 38-year-old said following her straight-set victory over fellow American Jessica Pegula: \"It's pretty satisfying just to get a win in the final. That was really important for me. And I just want to build on it,\" added Williams, who donated her prize money check of $43,000 to bush fire relief efforts in Australia. \"It's just a step towards the next goal.\"Indeed. READ: Can Rafael Nadal match Roger Federer's all-time grand slam record?READ: Player brands Australian Open email a 'slap in the face'Eyes on bigger prizeYes, as nice as it was to be holding the winners' trophy in Auckland -- where Williams once hit 88 unforced errors in a loss to Madison Brengle -- she didn't make the long trip to simply prosper in New Zealand. The much bigger prize is the Australian Open, where Williams triumphed while in the early stages of pregnancy in 2017.  If Williams makes the final in Melbourne -- and she might have to defeat the likes of twice grand slam winner Naomi Osaka and current world No. 1 Ashleigh Barty along the way -- she will probably have to then defeat someone with a heftier reputation than the 66th-ranked Pegula. Helping Williams, however, is that one of the main contenders, Bianca Andreescu, isn't in Melbourne because of another injury, this time to a knee. But winning any final -- after losses in grand slam finals to Osaka, Andreescu, Angelique Kerber and Simona Halep and retiring against Andreescu in the Rogers Cup finale last August -- could potentially be turning point as Williams attempts to draw level with the grand slam haul of Australia's Margaret Court. JUST WATCHEDSerena Williams falls short in major title chaseReplayMore Videos ...MUST WATCHSerena Williams falls short in major title chase 01:00\"Serena, she certainly looks hungry, and I think she's got a little momentum going into the Australian Open,\" Chris Evert, the 18-time grand slam champion, told reporters in an ESPN conference call last week. \"And it would probably be the least pressure, this grand slam, to win for her. \"I think every other tournament, the French Open, the clay isn't her best surface. Wimbledon is a lot of pressure, US Open is a lot of pressure. \"This one, the first one of the year, it's a 'Happy Slam,'\" referring to the Australian Open's nickname. \"I think if she just takes a little bit of pressure off herself and she can just play her brand of tennis, I think she's got a good shot at winning it.\"She's better at grand slams than any other player when you look at the last two years.\"The way Wozniacki put it, Williams has a \"big chance\" to match Court. pic.twitter.com/skoZilynH8— Serena Williams (@serenawilliams) January 12, 2020 Other high-profile players, such as Halep and former world No. 1 Karolina Pliskova -- who saved four match points last year in Melbourne against Williams and rallied from 5-1 down in the third set after the American rolled her ankle -- aren't discounting her chances, either, despite just falling short recently at grand slams. \"I'm very impressed about her, that she keeps playing at this level, with being a mother and also being a little bit older than us,\" said Halep, who made a mere three unforced errors in downing Williams in the 2019 Wimbledon final. \"It's impressive what she does.\"Challenges aheadBut Evert also underscored the stiffer challenges facing Williams. \"There are some darned good players out there that I have a lot of respect for, and the way that Osaka, Barty, Pliskova, Halep ... there's not one or two threats to Serena, there's probably about eight threats, eight players that can probably do some damage and that can compete against her.\"And one more thing is -- I always felt this way -- the older you get, I think the more bad days you may have, days when you feel burned out, days when you don't want to get out of bed, days when you don't have incentive. You don't want to have that day during a grand slam, but sometimes you can't help it.\"JUST WATCHEDSimona Halep on winning her first Wimbledon titleReplayMore Videos ...MUST WATCHSimona Halep on winning her first Wimbledon title 01:56Visit our tennis page for more news and videosWilliams figures to still be around towards the end of the Australian Open, but whether it is as the last person standing continues to be the question. \n",
      "\n",
      "Entity Types:\n",
      "[1] «PERSON»\n",
      "[2] «ORGANIZATION»\n",
      "[3] «LOCATION»\n",
      "[4] «DATE»\n",
      "[5] «TIME»\n",
      "[6] «MONEY»\n",
      "[7] «PERCENTAGE»\n",
      "[8] «PRODUCT»\n",
      "[9] «EVENT»\n",
      "[10] «LANGUAGE»\n",
      "[11] «NATIONALITY»\n",
      "[12] «RELIGION»\n",
      "[13] «TITLE»\n",
      "[14] «PROFESSION»\n",
      "[15] «ANIMAL»\n",
      "[16] «PLANT»\n",
      "[17] «DISEASE»\n",
      "[18] «MEDICATION»\n",
      "[19] «CHEMICAL»\n",
      "[20] «MATERIAL»\n",
      "[21] «COLOR»\n",
      "[22] «SHAPE»\n",
      "[23] «MEASUREMENT»\n",
      "[24] «WEATHER»\n",
      "[25] «NATURAL_DISASTER»\n",
      "[26] «AWARD»\n",
      "[27] «LAW»\n",
      "[28] «CRIME»\n",
      "[29] «TECHNOLOGY»\n",
      "[30] «SOFTWARE»\n",
      "[31] «HARDWARE»\n",
      "[32] «VEHICLE»\n",
      "[33] «FOOD»\n",
      "[34] «DRINK»\n",
      "[35] «SPORT»\n",
      "[36] «MUSIC_GENRE»\n",
      "[37] «INSTRUMENT»\n",
      "[38] «ARTWORK»\n",
      "[39] «BOOK»\n",
      "[40] «MOVIE»\n",
      "[41] «TV_SHOW»\n",
      "[42] «ACADEMIC_SUBJECT»\n",
      "[43] «SCIENTIFIC_THEORY»\n",
      "[44] «POLITICAL_PARTY»\n",
      "[45] «CURRENCY»\n",
      "[46] «STOCK_SYMBOL»\n",
      "[47] «FILE_TYPE»\n",
      "[48] «PROGRAMMING_LANGUAGE»\n",
      "[49] «MEDICAL_PROCEDURE»\n",
      "[50] «CELESTIAL_BODY»\n",
      "\n",
      "Please provide the output fields Reasoning then Entities Relationships. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with the field Reasoning.\n",
      "\n",
      "\u001b[32mReasoning: Let's think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\n",
      "\n",
      "Entities Relationships:\n",
      "```json\n",
      "{\n",
      "  \"value\": [\n",
      "    {\n",
      "      \"entity_name\": \"Melbourne\",\n",
      "      \"entity_type\": \"LOCATION\",\n",
      "      \"description\": \"A city in Australia where the Australian Open is held.\",\n",
      "      \"importance_score\": 0.8\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Australia\",\n",
      "      \"entity_type\": \"LOCATION\",\n",
      "      \"description\": \"The country where Melbourne is located and where the Australian Open takes place.\",\n",
      "      \"importance_score\": 0.7\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Serena Williams\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A professional tennis player aiming to win the Australian Open.\",\n",
      "      \"importance_score\": 1.0\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Mike Tyson\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A former heavyweight boxing champion who trained with Serena Williams.\",\n",
      "      \"importance_score\": 0.6\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Australian Open\",\n",
      "      \"entity_type\": \"EVENT\",\n",
      "      \"description\": \"A major tennis tournament held annually in Melbourne, Australia.\",\n",
      "      \"importance_score\": 0.9\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Alexis Olympia\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"The daughter of Serena Williams.\",\n",
      "      \"importance_score\": 0.5\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Caroline Wozniacki\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A professional tennis player and friend of Serena Williams.\",\n",
      "      \"importance_score\": 0.6\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Coco Gauff\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A young tennis sensation who trained with Serena Williams.\",\n",
      "      \"importance_score\": 0.5\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Patrick Mouratoglou\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"The coach of Serena Williams who organized the training camp.\",\n",
      "      \"importance_score\": 0.6\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Naomi Osaka\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A professional tennis player and grand slam winner who could face Serena Williams.\",\n",
      "      \"importance_score\": 0.7\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Ashleigh Barty\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"The current world No. 1 tennis player who could face Serena Williams.\",\n",
      "      \"importance_score\": 0.7\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Bianca Andreescu\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A professional tennis player who is a main contender but is not in Melbourne due to injury.\",\n",
      "      \"importance_score\": 0.6\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Simona Halep\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A professional tennis player who defeated Serena Williams in the 2019 Wimbledon final.\",\n",
      "      \"importance_score\": 0.6\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Chris Evert\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"An 18-time grand slam champion who commented on Serena Williams' chances at the Australian Open.\",\n",
      "      \"importance_score\": 0.5\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Margaret Court\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"An Australian tennis player with a record-tying 24 grand slam titles.\",\n",
      "      \"importance_score\": 0.5\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Jessica Pegula\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A fellow American tennis player who Serena Williams defeated in a match.\",\n",
      "      \"importance_score\": 0.4\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Alexis Ohanian\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"The husband of Serena Williams.\",\n",
      "      \"importance_score\": 0.4\n",
      "    },\n",
      "    {\n",
      "      \"entity_name\": \"Karolina Pliskova\",\n",
      "      \"entity_type\": \"PERSON\",\n",
      "      \"description\": \"A former world No. 1 tennis player who saved match points against Serena Williams in Melbourne.\",\n",
      "      \"importance_score\": 0.5\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Mike Tyson\",\n",
      "      \"description\": \"Serena Williams trained with Mike Tyson during the off-season.\",\n",
      "      \"weight\": 0.7,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Australian Open\",\n",
      "      \"description\": \"Serena Williams is aiming to win the Australian Open.\",\n",
      "      \"weight\": 0.9,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Alexis Olympia\",\n",
      "      \"description\": \"Serena Williams is the mother of Alexis Olympia.\",\n",
      "      \"weight\": 0.6,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Caroline Wozniacki\",\n",
      "      \"description\": \"Serena Williams reached the doubles final with Caroline Wozniacki.\",\n",
      "      \"weight\": 0.6,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Coco Gauff\",\n",
      "      \"description\": \"Serena Williams trained with Coco Gauff.\",\n",
      "      \"weight\": 0.5,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Patrick Mouratoglou\",\n",
      "      \"description\": \"Patrick Mouratoglou is the coach of Serena Williams.\",\n",
      "      \"weight\": 0.6,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Naomi Osaka\",\n",
      "      \"description\": \"Serena Williams might have to defeat Naomi Osaka to reach the final of the Australian Open.\",\n",
      "      \"weight\": 0.7,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Ashleigh Barty\",\n",
      "      \"description\": \"Serena Williams might have to defeat Ashleigh Barty to reach the final of the Australian Open.\",\n",
      "      \"weight\": 0.7,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Bianca Andreescu\",\n",
      "      \"description\": \"Bianca Andreescu is a main contender but is not in Melbourne due to injury.\",\n",
      "      \"weight\": 0.6,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Simona Halep\",\n",
      "      \"description\": \"Simona Halep defeated Serena Williams in the 2019 Wimbledon final.\",\n",
      "      \"weight\": 0.6,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Chris Evert\",\n",
      "      \"description\": \"Chris Evert commented on Serena Williams' chances at the Australian Open.\",\n",
      "      \"weight\": 0.5,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Margaret Court\",\n",
      "      \"description\": \"Serena Williams is attempting to match Margaret Court's record of 24 grand slam titles.\",\n",
      "      \"weight\": 0.5,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Jessica Pegula\",\n",
      "      \"description\": \"Serena Williams defeated Jessica Pegula in a match.\",\n",
      "      \"weight\": 0.4,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Alexis Ohanian\",\n",
      "      \"description\": \"Alexis Ohanian is the husband of Serena Williams.\",\n",
      "      \"weight\": 0.4,\n",
      "      \"order\": 1\n",
      "    },\n",
      "    {\n",
      "      \"src_id\": \"Serena Williams\",\n",
      "      \"tgt_id\": \"Karolina Pliskova\",\n",
      "      \"description\": \"Karolina Pliskova saved match points against Serena Williams in Melbourne.\",\n",
      "      \"weight\": 0.5,\n",
      "      \"order\": 1\n",
      "    }\n",
      "  ]\n",
      "}\n",
      "```\u001b[0m\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'\\n\\n\\nGiven the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\\n\\n---\\n\\nFollow the following format.\\n\\nInput Text: The text to extract entities and relationships from.\\n\\nEntity Types: List of entity types used for extraction.\\n\\nReasoning: Let\\'s think step by step in order to ${produce the entities_relationships}. We ...\\n\\nEntities Relationships: List of entities and relationships extracted from the text.. Respond with a single JSON object. JSON Schema: {\"$defs\": {\"Entity\": {\"properties\": {\"entity_name\": {\"description\": \"The name of the entity.\", \"title\": \"Entity Name\", \"type\": \"string\"}, \"entity_type\": {\"description\": \"The type of the entity.\", \"title\": \"Entity Type\", \"type\": \"string\"}, \"description\": {\"description\": \"The description of the entity, in details and comprehensive.\", \"title\": \"Description\", \"type\": \"string\"}, \"importance_score\": {\"description\": \"Importance score of the entity. Should be between 0 and 1 with 1 being the most important.\", \"maximum\": 1.0, \"minimum\": 0.0, \"title\": \"Importance Score\", \"type\": \"number\"}}, \"required\": [\"entity_name\", \"entity_type\", \"description\", \"importance_score\"], \"title\": \"Entity\", \"type\": \"object\"}, \"Relationship\": {\"properties\": {\"src_id\": {\"description\": \"The name of the source entity.\", \"title\": \"Src Id\", \"type\": \"string\"}, \"tgt_id\": {\"description\": \"The name of the target entity.\", \"title\": \"Tgt Id\", \"type\": \"string\"}, \"description\": {\"description\": \"The description of the relationship between the source and target entity, in details and comprehensive.\", \"title\": \"Description\", \"type\": \"string\"}, \"weight\": {\"description\": \"The weight of the relationship. Should be between 0 and 1 with 1 being the strongest relationship.\", \"maximum\": 1.0, \"minimum\": 0.0, \"title\": \"Weight\", \"type\": \"number\"}, \"order\": {\"description\": \"The order of the relationship. 1 for direct relationships, 2 for second-order, 3 for third-order.\", \"maximum\": 3, \"minimum\": 1, \"title\": \"Order\", \"type\": \"integer\"}}, \"required\": [\"src_id\", \"tgt_id\", \"description\", \"weight\", \"order\"], \"title\": \"Relationship\", \"type\": \"object\"}}, \"properties\": {\"value\": {\"items\": {\"anyOf\": [{\"$ref\": \"#/$defs/Entity\"}, {\"$ref\": \"#/$defs/Relationship\"}]}, \"title\": \"Value\", \"type\": \"array\"}}, \"required\": [\"value\"], \"title\": \"Output\", \"type\": \"object\"}\\n\\n---\\n\\nInput Text:\\nMelbourne, Australia (CNN)After spending part of the off-season training with Mike Tyson, Serena Williams is hoping to deliver a knockout punch at the Australian Open. Follow @cnnsport\\n\\nFor Williams that would mean winning a record-tying 24th grand slam title, which has so far proved elusive despite getting close four times since returning to the tour after giving birth to daughter Alexis Olympia. Her preparation for the year\\'s first major couldn\\'t have gone much better, suggesting the mini grand slam drought for arguably tennis\\' greatest ever player is about to cease. Williams let rip into a punching bag in December -- drawing a compliment from former heavyweight boxing champion Tyson, whose daughter happens to be a budding tennis star -- and then won a buildup tournament in Auckland last week to incredibly land a title in a fourth straight decade. She also mingled with one of tennis\\' youngest sensations, Coco Gauff, as part of the training camp in Florida organized by her coach, Patrick Mouratoglou. JUST WATCHEDMouratoglou on Serena comeback and McEnroeReplayMore Videos ...MUST WATCHMouratoglou on Serena comeback and McEnroe 02:19Read MoreWilliams overcame singles opponents with differing styles, reached the doubles final with one of her best friends -- the soon-to-be retired Caroline Wozniacki -- and most crucially, ended a five-match losing streak in finals with her daughter and husband Alexis Ohanian looking on.  No wonder the 38-year-old said following her straight-set victory over fellow American Jessica Pegula: \"It\\'s pretty satisfying just to get a win in the final. That was really important for me. And I just want to build on it,\" added Williams, who donated her prize money check of $43,000 to bush fire relief efforts in Australia. \"It\\'s just a step towards the next goal.\"Indeed. READ: Can Rafael Nadal match Roger Federer\\'s all-time grand slam record?READ: Player brands Australian Open email a \\'slap in the face\\'Eyes on bigger prizeYes, as nice as it was to be holding the winners\\' trophy in Auckland -- where Williams once hit 88 unforced errors in a loss to Madison Brengle -- she didn\\'t make the long trip to simply prosper in New Zealand. The much bigger prize is the Australian Open, where Williams triumphed while in the early stages of pregnancy in 2017.  If Williams makes the final in Melbourne -- and she might have to defeat the likes of twice grand slam winner Naomi Osaka and current world No. 1 Ashleigh Barty along the way -- she will probably have to then defeat someone with a heftier reputation than the 66th-ranked Pegula. Helping Williams, however, is that one of the main contenders, Bianca Andreescu, isn\\'t in Melbourne because of another injury, this time to a knee. But winning any final -- after losses in grand slam finals to Osaka, Andreescu, Angelique Kerber and Simona Halep and retiring against Andreescu in the Rogers Cup finale last August -- could potentially be turning point as Williams attempts to draw level with the grand slam haul of Australia\\'s Margaret Court. JUST WATCHEDSerena Williams falls short in major title chaseReplayMore Videos ...MUST WATCHSerena Williams falls short in major title chase 01:00\"Serena, she certainly looks hungry, and I think she\\'s got a little momentum going into the Australian Open,\" Chris Evert, the 18-time grand slam champion, told reporters in an ESPN conference call last week. \"And it would probably be the least pressure, this grand slam, to win for her. \"I think every other tournament, the French Open, the clay isn\\'t her best surface. Wimbledon is a lot of pressure, US Open is a lot of pressure. \"This one, the first one of the year, it\\'s a \\'Happy Slam,\\'\" referring to the Australian Open\\'s nickname. \"I think if she just takes a little bit of pressure off herself and she can just play her brand of tennis, I think she\\'s got a good shot at winning it.\"She\\'s better at grand slams than any other player when you look at the last two years.\"The way Wozniacki put it, Williams has a \"big chance\" to match Court. pic.twitter.com/skoZilynH8— Serena Williams (@serenawilliams) January 12, 2020 Other high-profile players, such as Halep and former world No. 1 Karolina Pliskova -- who saved four match points last year in Melbourne against Williams and rallied from 5-1 down in the third set after the American rolled her ankle -- aren\\'t discounting her chances, either, despite just falling short recently at grand slams. \"I\\'m very impressed about her, that she keeps playing at this level, with being a mother and also being a little bit older than us,\" said Halep, who made a mere three unforced errors in downing Williams in the 2019 Wimbledon final. \"It\\'s impressive what she does.\"Challenges aheadBut Evert also underscored the stiffer challenges facing Williams. \"There are some darned good players out there that I have a lot of respect for, and the way that Osaka, Barty, Pliskova, Halep ... there\\'s not one or two threats to Serena, there\\'s probably about eight threats, eight players that can probably do some damage and that can compete against her.\"And one more thing is -- I always felt this way -- the older you get, I think the more bad days you may have, days when you feel burned out, days when you don\\'t want to get out of bed, days when you don\\'t have incentive. You don\\'t want to have that day during a grand slam, but sometimes you can\\'t help it.\"JUST WATCHEDSimona Halep on winning her first Wimbledon titleReplayMore Videos ...MUST WATCHSimona Halep on winning her first Wimbledon title 01:56Visit our tennis page for more news and videosWilliams figures to still be around towards the end of the Australian Open, but whether it is as the last person standing continues to be the question. \\n\\nEntity Types:\\n[1] «PERSON»\\n[2] «ORGANIZATION»\\n[3] «LOCATION»\\n[4] «DATE»\\n[5] «TIME»\\n[6] «MONEY»\\n[7] «PERCENTAGE»\\n[8] «PRODUCT»\\n[9] «EVENT»\\n[10] «LANGUAGE»\\n[11] «NATIONALITY»\\n[12] «RELIGION»\\n[13] «TITLE»\\n[14] «PROFESSION»\\n[15] «ANIMAL»\\n[16] «PLANT»\\n[17] «DISEASE»\\n[18] «MEDICATION»\\n[19] «CHEMICAL»\\n[20] «MATERIAL»\\n[21] «COLOR»\\n[22] «SHAPE»\\n[23] «MEASUREMENT»\\n[24] «WEATHER»\\n[25] «NATURAL_DISASTER»\\n[26] «AWARD»\\n[27] «LAW»\\n[28] «CRIME»\\n[29] «TECHNOLOGY»\\n[30] «SOFTWARE»\\n[31] «HARDWARE»\\n[32] «VEHICLE»\\n[33] «FOOD»\\n[34] «DRINK»\\n[35] «SPORT»\\n[36] «MUSIC_GENRE»\\n[37] «INSTRUMENT»\\n[38] «ARTWORK»\\n[39] «BOOK»\\n[40] «MOVIE»\\n[41] «TV_SHOW»\\n[42] «ACADEMIC_SUBJECT»\\n[43] «SCIENTIFIC_THEORY»\\n[44] «POLITICAL_PARTY»\\n[45] «CURRENCY»\\n[46] «STOCK_SYMBOL»\\n[47] «FILE_TYPE»\\n[48] «PROGRAMMING_LANGUAGE»\\n[49] «MEDICAL_PROCEDURE»\\n[50] «CELESTIAL_BODY»\\n\\nPlease provide the output fields Reasoning then Entities Relationships. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with the field Reasoning.\\n\\n\\x1b[32mReasoning: Let\\'s think step by step in order to produce the entities_relationships. We first identify the entities in the text based on the provided entity types. Then, we determine the relationships between these entities, considering their interactions and dependencies within the context of the text. Finally, we format the entities and relationships according to the specified JSON schema.\\n\\nEntities Relationships:\\n```json\\n{\\n  \"value\": [\\n    {\\n      \"entity_name\": \"Melbourne\",\\n      \"entity_type\": \"LOCATION\",\\n      \"description\": \"A city in Australia where the Australian Open is held.\",\\n      \"importance_score\": 0.8\\n    },\\n    {\\n      \"entity_name\": \"Australia\",\\n      \"entity_type\": \"LOCATION\",\\n      \"description\": \"The country where Melbourne is located and where the Australian Open takes place.\",\\n      \"importance_score\": 0.7\\n    },\\n    {\\n      \"entity_name\": \"Serena Williams\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A professional tennis player aiming to win the Australian Open.\",\\n      \"importance_score\": 1.0\\n    },\\n    {\\n      \"entity_name\": \"Mike Tyson\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A former heavyweight boxing champion who trained with Serena Williams.\",\\n      \"importance_score\": 0.6\\n    },\\n    {\\n      \"entity_name\": \"Australian Open\",\\n      \"entity_type\": \"EVENT\",\\n      \"description\": \"A major tennis tournament held annually in Melbourne, Australia.\",\\n      \"importance_score\": 0.9\\n    },\\n    {\\n      \"entity_name\": \"Alexis Olympia\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"The daughter of Serena Williams.\",\\n      \"importance_score\": 0.5\\n    },\\n    {\\n      \"entity_name\": \"Caroline Wozniacki\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A professional tennis player and friend of Serena Williams.\",\\n      \"importance_score\": 0.6\\n    },\\n    {\\n      \"entity_name\": \"Coco Gauff\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A young tennis sensation who trained with Serena Williams.\",\\n      \"importance_score\": 0.5\\n    },\\n    {\\n      \"entity_name\": \"Patrick Mouratoglou\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"The coach of Serena Williams who organized the training camp.\",\\n      \"importance_score\": 0.6\\n    },\\n    {\\n      \"entity_name\": \"Naomi Osaka\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A professional tennis player and grand slam winner who could face Serena Williams.\",\\n      \"importance_score\": 0.7\\n    },\\n    {\\n      \"entity_name\": \"Ashleigh Barty\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"The current world No. 1 tennis player who could face Serena Williams.\",\\n      \"importance_score\": 0.7\\n    },\\n    {\\n      \"entity_name\": \"Bianca Andreescu\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A professional tennis player who is a main contender but is not in Melbourne due to injury.\",\\n      \"importance_score\": 0.6\\n    },\\n    {\\n      \"entity_name\": \"Simona Halep\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A professional tennis player who defeated Serena Williams in the 2019 Wimbledon final.\",\\n      \"importance_score\": 0.6\\n    },\\n    {\\n      \"entity_name\": \"Chris Evert\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"An 18-time grand slam champion who commented on Serena Williams\\' chances at the Australian Open.\",\\n      \"importance_score\": 0.5\\n    },\\n    {\\n      \"entity_name\": \"Margaret Court\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"An Australian tennis player with a record-tying 24 grand slam titles.\",\\n      \"importance_score\": 0.5\\n    },\\n    {\\n      \"entity_name\": \"Jessica Pegula\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A fellow American tennis player who Serena Williams defeated in a match.\",\\n      \"importance_score\": 0.4\\n    },\\n    {\\n      \"entity_name\": \"Alexis Ohanian\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"The husband of Serena Williams.\",\\n      \"importance_score\": 0.4\\n    },\\n    {\\n      \"entity_name\": \"Karolina Pliskova\",\\n      \"entity_type\": \"PERSON\",\\n      \"description\": \"A former world No. 1 tennis player who saved match points against Serena Williams in Melbourne.\",\\n      \"importance_score\": 0.5\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Mike Tyson\",\\n      \"description\": \"Serena Williams trained with Mike Tyson during the off-season.\",\\n      \"weight\": 0.7,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Australian Open\",\\n      \"description\": \"Serena Williams is aiming to win the Australian Open.\",\\n      \"weight\": 0.9,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Alexis Olympia\",\\n      \"description\": \"Serena Williams is the mother of Alexis Olympia.\",\\n      \"weight\": 0.6,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Caroline Wozniacki\",\\n      \"description\": \"Serena Williams reached the doubles final with Caroline Wozniacki.\",\\n      \"weight\": 0.6,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Coco Gauff\",\\n      \"description\": \"Serena Williams trained with Coco Gauff.\",\\n      \"weight\": 0.5,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Patrick Mouratoglou\",\\n      \"description\": \"Patrick Mouratoglou is the coach of Serena Williams.\",\\n      \"weight\": 0.6,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Naomi Osaka\",\\n      \"description\": \"Serena Williams might have to defeat Naomi Osaka to reach the final of the Australian Open.\",\\n      \"weight\": 0.7,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Ashleigh Barty\",\\n      \"description\": \"Serena Williams might have to defeat Ashleigh Barty to reach the final of the Australian Open.\",\\n      \"weight\": 0.7,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Bianca Andreescu\",\\n      \"description\": \"Bianca Andreescu is a main contender but is not in Melbourne due to injury.\",\\n      \"weight\": 0.6,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Simona Halep\",\\n      \"description\": \"Simona Halep defeated Serena Williams in the 2019 Wimbledon final.\",\\n      \"weight\": 0.6,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Chris Evert\",\\n      \"description\": \"Chris Evert commented on Serena Williams\\' chances at the Australian Open.\",\\n      \"weight\": 0.5,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Margaret Court\",\\n      \"description\": \"Serena Williams is attempting to match Margaret Court\\'s record of 24 grand slam titles.\",\\n      \"weight\": 0.5,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Jessica Pegula\",\\n      \"description\": \"Serena Williams defeated Jessica Pegula in a match.\",\\n      \"weight\": 0.4,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Alexis Ohanian\",\\n      \"description\": \"Alexis Ohanian is the husband of Serena Williams.\",\\n      \"weight\": 0.4,\\n      \"order\": 1\\n    },\\n    {\\n      \"src_id\": \"Serena Williams\",\\n      \"tgt_id\": \"Karolina Pliskova\",\\n      \"description\": \"Karolina Pliskova saved match points against Serena Williams in Melbourne.\",\\n      \"weight\": 0.5,\\n      \"order\": 1\\n    }\\n  ]\\n}\\n```\\x1b[0m\\n\\n\\n'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deepseek.inspect_history(n=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trial_logs = miprov2_model.trial_logs\n",
    "trial_numbers = list(trial_logs.keys())\n",
    "scores = [trial_logs[trial]['score'] for trial in trial_numbers]\n",
    "pruning_status = [trial_logs[trial]['pruned'] for trial in trial_numbers]\n",
    "\n",
    "plt.figure(figsize=(5, 3))\n",
    "for trial_number, score, pruned in zip(trial_numbers, scores, pruning_status):\n",
    "    if pruned:\n",
    "        plt.scatter(trial_number, score, color='grey', label='Pruned Batch' if 'Pruned Batch' not in plt.gca().get_legend_handles_labels()[1] else \"\")\n",
    "    else:\n",
    "        plt.scatter(trial_number, score, color='green', label='Successful Batch' if 'Successful Batch' not in plt.gca().get_legend_handles_labels()[1] else \"\")\n",
    "\n",
    "plt.xlabel('Batch Number')\n",
    "plt.ylabel('Score')\n",
    "plt.title('Batch Scores')\n",
    "plt.grid(True)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Baseline program | Score: 0:\n",
      "Prompt 1 Instruction: Given the fields `input_text`, `entity_types`, produce the fields `entities_relationships`.\n",
      "\n",
      "----------------\n",
      "Best program after 0 batches | Score: 81.23:\n",
      "Prompt 1 Instruction: Given the `input_text` and a list of `entity_types`, meticulously extract and identify all entities and their relationships within the text. Ensure that each entity is accurately classified according to the provided entity types, and clearly define the relationships between entities, including their descriptions, weights, and orders. Provide a step-by-step reasoning process to justify the extraction and classification of each entity and relationship.\n",
      "\n",
      "Best program after 5 batches | Score: 81.23:\n",
      "Prompt 1 Instruction: Given the `input_text` and a list of `entity_types`, meticulously extract and identify all entities and their relationships within the text. Ensure that each entity is accurately classified according to the provided entity types, and clearly define the relationships between entities, including their descriptions, weights, and orders. Provide a step-by-step reasoning process to justify the extraction and classification of each entity and relationship.\n",
      "\n",
      "Best program after 10 batches | Score: 85.16:\n",
      "Prompt 1 Instruction: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide its `entity_name`, `entity_type`, a concise `description`, and an `importance_score`. Subsequently, determine and list the relationships between these entities, specifying the `src_id` (source entity), `tgt_id` (target entity), a `description` of the relationship, a `weight` indicating the strength of the relationship, and an `order` to indicate the sequence of relationships. Ensure that the relationships are coherent and directly derived from the context provided in the `input_text`.\n",
      "\n",
      "Best program after 15 batches | Score: 85.16:\n",
      "Prompt 1 Instruction: Given the `input_text` and `entity_types`, meticulously identify and extract entities from the text. For each identified entity, provide its `entity_name`, `entity_type`, a concise `description`, and an `importance_score`. Subsequently, determine and list the relationships between these entities, specifying the `src_id` (source entity), `tgt_id` (target entity), a `description` of the relationship, a `weight` indicating the strength of the relationship, and an `order` to indicate the sequence of relationships. Ensure that the relationships are coherent and directly derived from the context provided in the `input_text`.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "best_score = 0\n",
    "\n",
    "def get_signature(predictor):\n",
    "    if (hasattr(predictor, 'extended_signature')):\n",
    "        return predictor.extended_signature\n",
    "    elif (hasattr(predictor, 'signature')):\n",
    "        return predictor.signature\n",
    "\n",
    "print(f\"Baseline program | Score: {best_score}:\")\n",
    "for i,predictor in enumerate(model.predictors()):\n",
    "    print(f\"Prompt {i+1} Instruction: {get_signature(predictor).instructions}\")\n",
    "print()\n",
    "\n",
    "print(\"----------------\")\n",
    "\n",
    "for trial_num in miprov2_model.trial_logs:\n",
    "    program_score = miprov2_model.trial_logs[trial_num][\"score\"]\n",
    "    program_pruned = miprov2_model.trial_logs[trial_num][\"pruned\"]\n",
    "    if program_score > best_score and not program_pruned and miprov2_model.trial_logs[trial_num][\"full_eval\"]:\n",
    "        best_score = program_score\n",
    "        best_program_so_far = miprov2_model.trial_logs[trial_num][\"program\"]\n",
    "    if trial_num % 5 == 0:\n",
    "        print(f\"Best program after {trial_num} batches | Score: {best_score}:\")\n",
    "        for i,predictor in enumerate(best_program_so_far.predictors()):\n",
    "            print(f\"Prompt {i+1} Instruction: {get_signature(predictor).instructions}\")\n",
    "        print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/20 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.0 / 1  (100.0):   5%|▌         | 1/20 [00:30<09:37, 30.39s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.75 / 2  (87.5):  10%|█         | 2/20 [00:31<03:58, 13.23s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.4166666666666665 / 3  (80.6):  15%|█▌        | 3/20 [00:35<02:34,  9.11s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.4166666666666665 / 4  (85.4):  20%|██        | 4/20 [00:40<01:59,  7.50s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.988095238095238 / 5  (79.8):  25%|██▌       | 5/20 [00:42<01:20,  5.38s/it] INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 4.788095238095238 / 6  (79.8):  30%|███       | 6/20 [00:49<01:20,  5.78s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 6.288095238095238 / 8  (78.6):  40%|████      | 8/20 [00:53<00:44,  3.72s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 7.288095238095238 / 9  (81.0):  45%|████▌     | 9/20 [00:54<00:30,  2.81s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 15.316269841269841 / 20  (76.6): 100%|██████████| 20/20 [02:57<00:00,  8.90s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:55:45.685529Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 15.316269841269841 / 20 (76.6%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_a2fb4 th {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_a2fb4 td {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_a2fb4_row0_col0, #T_a2fb4_row0_col1, #T_a2fb4_row0_col2, #T_a2fb4_row0_col3, #T_a2fb4_row0_col4, #T_a2fb4_row0_col5, #T_a2fb4_row1_col0, #T_a2fb4_row1_col1, #T_a2fb4_row1_col2, #T_a2fb4_row1_col3, #T_a2fb4_row1_col4, #T_a2fb4_row1_col5, #T_a2fb4_row2_col0, #T_a2fb4_row2_col1, #T_a2fb4_row2_col2, #T_a2fb4_row2_col3, #T_a2fb4_row2_col4, #T_a2fb4_row2_col5, #T_a2fb4_row3_col0, #T_a2fb4_row3_col1, #T_a2fb4_row3_col2, #T_a2fb4_row3_col3, #T_a2fb4_row3_col4, #T_a2fb4_row3_col5, #T_a2fb4_row4_col0, #T_a2fb4_row4_col1, #T_a2fb4_row4_col2, #T_a2fb4_row4_col3, #T_a2fb4_row4_col4, #T_a2fb4_row4_col5 {\n",
       "  text-align: left;\n",
       "  white-space: pre-wrap;\n",
       "  word-wrap: break-word;\n",
       "  max-width: 400px;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_a2fb4\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_a2fb4_level0_col0\" class=\"col_heading level0 col0\" >input_text</th>\n",
       "      <th id=\"T_a2fb4_level0_col1\" class=\"col_heading level0 col1\" >example_entities</th>\n",
       "      <th id=\"T_a2fb4_level0_col2\" class=\"col_heading level0 col2\" >example_relationships</th>\n",
       "      <th id=\"T_a2fb4_level0_col3\" class=\"col_heading level0 col3\" >pred_entities</th>\n",
       "      <th id=\"T_a2fb4_level0_col4\" class=\"col_heading level0 col4\" >pred_relationships</th>\n",
       "      <th id=\"T_a2fb4_level0_col5\" class=\"col_heading level0 col5\" >entity_recall_metric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_a2fb4_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_a2fb4_row0_col0\" class=\"data row0 col0\" >As students from Marjory Stoneman Douglas High School confront lawmakers with demands to restrict sales of assault rifles, there were warnings by the president of...</td>\n",
       "      <td id=\"T_a2fb4_row0_col1\" class=\"data row0 col1\" >[{'entity_name': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'entity_type': 'ORGANIZATION', 'description': 'A high school in Florida where students confronted lawmakers about restricting sales of assault rifles.', 'importance_score':...</td>\n",
       "      <td id=\"T_a2fb4_row0_col2\" class=\"data row0 col2\" >[{'src_id': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'tgt_id': 'FLORIDA', 'description': 'Students from Marjory Stoneman Douglas High School are located in the state of Florida.', 'weight': 0.9,...</td>\n",
       "      <td id=\"T_a2fb4_row0_col3\" class=\"data row0 col3\" >[{'entity_name': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'entity_type': 'ORGANIZATION', 'description': 'A high school in Florida where a mass shooting occurred, leading to demands for restricting assault...</td>\n",
       "      <td id=\"T_a2fb4_row0_col4\" class=\"data row0 col4\" >[{'src_id': 'NIKOLAS CRUZ', 'tgt_id': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'description': 'Nikolas Cruz carried out a mass shooting at Marjory Stoneman Douglas High School.', 'weight': 0.9,...</td>\n",
       "      <td id=\"T_a2fb4_row0_col5\" class=\"data row0 col5\" >✔️ [1.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a2fb4_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_a2fb4_row1_col0\" class=\"data row1 col0\" >From ferrying people to and from their place of work to transporting nuclear waste and coal, railways are not only an integral part of 21st...</td>\n",
       "      <td id=\"T_a2fb4_row1_col1\" class=\"data row1 col1\" >[{'entity_name': 'RAILNOVA', 'entity_type': 'ORGANIZATION', 'description': 'A technology company based in Brussels whose clients include Deutsche Bahn and French rail operator SNCF.', 'importance_score': 0.9}, {'entity_name': 'DEUTSCHE...</td>\n",
       "      <td id=\"T_a2fb4_row1_col2\" class=\"data row1 col2\" >[{'src_id': 'RAILNOVA', 'tgt_id': 'DEUTSCHE BAHN', 'description': 'Railnova provides technology solutions to Deutsche Bahn.', 'weight': 0.9, 'order': 1}, {'src_id': 'RAILNOVA', 'tgt_id': 'SNCF', 'description': 'Railnova provides technology...</td>\n",
       "      <td id=\"T_a2fb4_row1_col3\" class=\"data row1 col3\" >[{'entity_name': 'RAILNOVA', 'entity_type': 'ORGANIZATION', 'description': 'A technology company based in Brussels that offers solutions to improve train operations.', 'importance_score': 0.9}, {'entity_name': 'CHRISTIAN SPRAUER', 'entity_type': 'PERSON',...</td>\n",
       "      <td id=\"T_a2fb4_row1_col4\" class=\"data row1 col4\" >[{'src_id': 'CHRISTIAN SPRAUER', 'tgt_id': 'RAILNOVA', 'description': 'Christian Sprauer is the CEO and founder of Railnova.', 'weight': 0.9, 'order': 1}, {'src_id': 'RAILNOVA', 'tgt_id': 'DEUTSCHE BAHN', 'description':...</td>\n",
       "      <td id=\"T_a2fb4_row1_col5\" class=\"data row1 col5\" >✔️ [0.8888888888888888]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a2fb4_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_a2fb4_row2_col0\" class=\"data row2 col0\" >Jan 22 (Reuters) - Shanghai Stock Exchange Filing * SHOWS BLOCK TRADE OF YONGHUI SUPERSTORES Co LTd's 166.3 MILLION SHARES INVOLVING 1.63 BILLION YUAN ($254.68...</td>\n",
       "      <td id=\"T_a2fb4_row2_col1\" class=\"data row2 col1\" >[{'entity_name': 'YONGHUI SUPERSTORES CO LTD', 'entity_type': 'ORGANIZATION', 'description': 'YONGHUI SUPERSTORES Co LTd is involved in a block trade of 166.3 million shares.', 'importance_score': 1.0}, {'entity_name':...</td>\n",
       "      <td id=\"T_a2fb4_row2_col2\" class=\"data row2 col2\" >[{'src_id': 'YONGHUI SUPERSTORES CO LTD', 'tgt_id': '166.3 MILLION SHARES', 'description': 'YONGHUI SUPERSTORES Co LTd is involved in a block trade of 166.3 million shares.', 'weight':...</td>\n",
       "      <td id=\"T_a2fb4_row2_col3\" class=\"data row2 col3\" >[{'entity_name': 'SHANGHAI STOCK EXCHANGE', 'entity_type': 'ORGANIZATION', 'description': \"A stock exchange where the block trade of YONGHUI SUPERSTORES Co Ltd's shares took place.\", 'importance_score': 0.8}, {'entity_name':...</td>\n",
       "      <td id=\"T_a2fb4_row2_col4\" class=\"data row2 col4\" >[{'src_id': 'SHANGHAI STOCK EXCHANGE', 'tgt_id': 'YONGHUI SUPERSTORES CO LTD', 'description': \"The block trade of YONGHUI SUPERSTORES Co Ltd's shares took place at the Shanghai Stock...</td>\n",
       "      <td id=\"T_a2fb4_row2_col5\" class=\"data row2 col5\" >✔️ [0.8]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a2fb4_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_a2fb4_row3_col0\" class=\"data row3 col0\" >LONDON (Reuters) - Britain’s economy was weaker than previously thought in 2017, official data showed on Thursday, leaving the country lagging further behind the global...</td>\n",
       "      <td id=\"T_a2fb4_row3_col1\" class=\"data row3 col1\" >[{'entity_name': 'BRITAIN', 'entity_type': 'LOCATION', 'description': 'The country whose economy was weaker than previously thought in 2017.', 'importance_score': 0.9}, {'entity_name': 'EUROPEAN UNION', 'entity_type': 'ORGANIZATION', 'description': 'The...</td>\n",
       "      <td id=\"T_a2fb4_row3_col2\" class=\"data row3 col2\" >[{'src_id': 'BRITAIN', 'tgt_id': 'EUROPEAN UNION', 'description': 'Britain is preparing to leave the European Union.', 'weight': 0.9, 'order': 1}, {'src_id': 'BANK OF ENGLAND', 'tgt_id': 'INTEREST RATES',...</td>\n",
       "      <td id=\"T_a2fb4_row3_col3\" class=\"data row3 col3\" >[{'entity_name': 'BRITAIN', 'entity_type': 'LOCATION', 'description': 'The country whose economy was weaker than previously thought in 2017.', 'importance_score': 0.9}, {'entity_name': 'EUROPEAN UNION', 'entity_type': 'ORGANIZATION', 'description': 'The...</td>\n",
       "      <td id=\"T_a2fb4_row3_col4\" class=\"data row3 col4\" >[{'src_id': 'BRITAIN', 'tgt_id': 'EUROPEAN UNION', 'description': 'Britain is preparing to leave the European Union.', 'weight': 0.8, 'order': 1}, {'src_id': 'BRITAIN', 'tgt_id': 'BANK OF ENGLAND', 'description':...</td>\n",
       "      <td id=\"T_a2fb4_row3_col5\" class=\"data row3 col5\" >✔️ [1.0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a2fb4_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_a2fb4_row4_col0\" class=\"data row4 col0\" >Trump taps White House doctor as new VA secretary 2 Hours Ago CNBC's Kayla Tausche reports President Trump has tapped White House physician Rear Admiral...</td>\n",
       "      <td id=\"T_a2fb4_row4_col1\" class=\"data row4 col1\" >[{'entity_name': 'TRUMP', 'entity_type': 'PERSON', 'description': 'President Trump who tapped Ronny Jackson as new VA secretary.', 'importance_score': 1.0}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'The White...</td>\n",
       "      <td id=\"T_a2fb4_row4_col2\" class=\"data row4 col2\" >[{'src_id': 'TRUMP', 'tgt_id': 'RONNY JACKSON', 'description': 'President Trump taps Ronny Jackson as new VA secretary.', 'weight': 1.0, 'order': 1}, {'src_id': 'RONNY JACKSON', 'tgt_id': 'VA', 'description':...</td>\n",
       "      <td id=\"T_a2fb4_row4_col3\" class=\"data row4 col3\" >[{'entity_name': 'TRUMP', 'entity_type': 'PERSON', 'description': 'The President who tapped Rear Admiral Ronny Jackson as the new VA secretary.', 'importance_score': 0.9}, {'entity_name': 'REAR ADMIRAL RONNY JACKSON',...</td>\n",
       "      <td id=\"T_a2fb4_row4_col4\" class=\"data row4 col4\" >[{'src_id': 'TRUMP', 'tgt_id': 'REAR ADMIRAL RONNY JACKSON', 'description': 'President Trump tapped Rear Admiral Ronny Jackson to run the Department of Veterans Affairs.', 'weight': 0.9, 'order':...</td>\n",
       "      <td id=\"T_a2fb4_row4_col5\" class=\"data row4 col5\" >✔️ [0.5714285714285714]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x16cfafc70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <div style='\n",
       "                    text-align: center;\n",
       "                    font-size: 16px;\n",
       "                    font-weight: bold;\n",
       "                    color: #555;\n",
       "                    margin: 10px 0;'>\n",
       "                    ... 15 more rows not displayed ...\n",
       "                </div>\n",
       "                "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/20 [00:00<?, ?it/s]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 0.44999999999999996 / 2  (22.5):  10%|█         | 2/20 [00:12<01:31,  5.10s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 1.4 / 3  (46.7):  15%|█▌        | 3/20 [00:14<01:04,  3.80s/it]                INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 2.15 / 4  (53.8):  20%|██        | 4/20 [00:15<00:45,  2.82s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.0999999999999996 / 5  (62.0):  25%|██▌       | 5/20 [00:27<01:31,  6.12s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 3.7499999999999996 / 6  (62.5):  30%|███       | 6/20 [00:33<01:21,  5.80s/it]INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 5.1 / 9  (56.7):  40%|████      | 8/20 [00:34<00:37,  3.09s/it]               INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "INFO:httpx:HTTP Request: POST https://api.deepseek.com/beta/chat/completions \"HTTP/1.1 200 OK\"\n",
      "Average Metric: 11.281400000000001 / 20  (56.4): 100%|██████████| 20/20 [01:40<00:00,  5.03s/it]\n",
      "INFO:dspy.evaluate.evaluate:\u001b[2m2024-09-20T23:57:26.632437Z\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAverage Metric: 11.281400000000001 / 20 (56.4%)\u001b[0m [\u001b[0m\u001b[1m\u001b[34mdspy.evaluate.evaluate\u001b[0m]\u001b[0m \u001b[36mfilename\u001b[0m=\u001b[35mevaluate.py\u001b[0m \u001b[36mlineno\u001b[0m=\u001b[35m218\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_a56c4 th {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_a56c4 td {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_a56c4_row0_col0, #T_a56c4_row0_col1, #T_a56c4_row0_col2, #T_a56c4_row0_col3, #T_a56c4_row0_col4, #T_a56c4_row0_col5, #T_a56c4_row1_col0, #T_a56c4_row1_col1, #T_a56c4_row1_col2, #T_a56c4_row1_col3, #T_a56c4_row1_col4, #T_a56c4_row1_col5, #T_a56c4_row2_col0, #T_a56c4_row2_col1, #T_a56c4_row2_col2, #T_a56c4_row2_col3, #T_a56c4_row2_col4, #T_a56c4_row2_col5, #T_a56c4_row3_col0, #T_a56c4_row3_col1, #T_a56c4_row3_col2, #T_a56c4_row3_col3, #T_a56c4_row3_col4, #T_a56c4_row3_col5, #T_a56c4_row4_col0, #T_a56c4_row4_col1, #T_a56c4_row4_col2, #T_a56c4_row4_col3, #T_a56c4_row4_col4, #T_a56c4_row4_col5 {\n",
       "  text-align: left;\n",
       "  white-space: pre-wrap;\n",
       "  word-wrap: break-word;\n",
       "  max-width: 400px;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_a56c4\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_a56c4_level0_col0\" class=\"col_heading level0 col0\" >input_text</th>\n",
       "      <th id=\"T_a56c4_level0_col1\" class=\"col_heading level0 col1\" >example_entities</th>\n",
       "      <th id=\"T_a56c4_level0_col2\" class=\"col_heading level0 col2\" >example_relationships</th>\n",
       "      <th id=\"T_a56c4_level0_col3\" class=\"col_heading level0 col3\" >pred_entities</th>\n",
       "      <th id=\"T_a56c4_level0_col4\" class=\"col_heading level0 col4\" >pred_relationships</th>\n",
       "      <th id=\"T_a56c4_level0_col5\" class=\"col_heading level0 col5\" >relationships_similarity_metric</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_a56c4_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_a56c4_row0_col0\" class=\"data row0 col0\" >As students from Marjory Stoneman Douglas High School confront lawmakers with demands to restrict sales of assault rifles, there were warnings by the president of...</td>\n",
       "      <td id=\"T_a56c4_row0_col1\" class=\"data row0 col1\" >[{'entity_name': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'entity_type': 'ORGANIZATION', 'description': 'A high school in Florida where students confronted lawmakers about restricting sales of assault rifles.', 'importance_score':...</td>\n",
       "      <td id=\"T_a56c4_row0_col2\" class=\"data row0 col2\" >[{'src_id': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'tgt_id': 'FLORIDA', 'description': 'Students from Marjory Stoneman Douglas High School are located in the state of Florida.', 'weight': 0.9,...</td>\n",
       "      <td id=\"T_a56c4_row0_col3\" class=\"data row0 col3\" >[{'entity_name': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'entity_type': 'ORGANIZATION', 'description': 'A high school in Florida where a mass shooting occurred, leading to demands for restricting assault...</td>\n",
       "      <td id=\"T_a56c4_row0_col4\" class=\"data row0 col4\" >[{'src_id': 'NIKOLAS CRUZ', 'tgt_id': 'MARJORY STONEMAN DOUGLAS HIGH SCHOOL', 'description': 'Nikolas Cruz carried out a mass shooting at Marjory Stoneman Douglas High School.', 'weight': 0.9,...</td>\n",
       "      <td id=\"T_a56c4_row0_col5\" class=\"data row0 col5\" >✔️ [0.4]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a56c4_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_a56c4_row1_col0\" class=\"data row1 col0\" >From ferrying people to and from their place of work to transporting nuclear waste and coal, railways are not only an integral part of 21st...</td>\n",
       "      <td id=\"T_a56c4_row1_col1\" class=\"data row1 col1\" >[{'entity_name': 'RAILNOVA', 'entity_type': 'ORGANIZATION', 'description': 'A technology company based in Brussels whose clients include Deutsche Bahn and French rail operator SNCF.', 'importance_score': 0.9}, {'entity_name': 'DEUTSCHE...</td>\n",
       "      <td id=\"T_a56c4_row1_col2\" class=\"data row1 col2\" >[{'src_id': 'RAILNOVA', 'tgt_id': 'DEUTSCHE BAHN', 'description': 'Railnova provides technology solutions to Deutsche Bahn.', 'weight': 0.9, 'order': 1}, {'src_id': 'RAILNOVA', 'tgt_id': 'SNCF', 'description': 'Railnova provides technology...</td>\n",
       "      <td id=\"T_a56c4_row1_col3\" class=\"data row1 col3\" >[{'entity_name': 'RAILNOVA', 'entity_type': 'ORGANIZATION', 'description': 'A technology company based in Brussels that offers solutions to improve train operations.', 'importance_score': 0.9}, {'entity_name': 'CHRISTIAN SPRAUER', 'entity_type': 'PERSON',...</td>\n",
       "      <td id=\"T_a56c4_row1_col4\" class=\"data row1 col4\" >[{'src_id': 'CHRISTIAN SPRAUER', 'tgt_id': 'RAILNOVA', 'description': 'Christian Sprauer is the CEO and founder of Railnova.', 'weight': 0.9, 'order': 1}, {'src_id': 'RAILNOVA', 'tgt_id': 'DEUTSCHE BAHN', 'description':...</td>\n",
       "      <td id=\"T_a56c4_row1_col5\" class=\"data row1 col5\" >✔️ [0.85]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a56c4_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_a56c4_row2_col0\" class=\"data row2 col0\" >Jan 22 (Reuters) - Shanghai Stock Exchange Filing * SHOWS BLOCK TRADE OF YONGHUI SUPERSTORES Co LTd's 166.3 MILLION SHARES INVOLVING 1.63 BILLION YUAN ($254.68...</td>\n",
       "      <td id=\"T_a56c4_row2_col1\" class=\"data row2 col1\" >[{'entity_name': 'YONGHUI SUPERSTORES CO LTD', 'entity_type': 'ORGANIZATION', 'description': 'YONGHUI SUPERSTORES Co LTd is involved in a block trade of 166.3 million shares.', 'importance_score': 1.0}, {'entity_name':...</td>\n",
       "      <td id=\"T_a56c4_row2_col2\" class=\"data row2 col2\" >[{'src_id': 'YONGHUI SUPERSTORES CO LTD', 'tgt_id': '166.3 MILLION SHARES', 'description': 'YONGHUI SUPERSTORES Co LTd is involved in a block trade of 166.3 million shares.', 'weight':...</td>\n",
       "      <td id=\"T_a56c4_row2_col3\" class=\"data row2 col3\" >[{'entity_name': 'SHANGHAI STOCK EXCHANGE', 'entity_type': 'ORGANIZATION', 'description': \"A stock exchange where the block trade of YONGHUI SUPERSTORES Co Ltd's shares took place.\", 'importance_score': 0.8}, {'entity_name':...</td>\n",
       "      <td id=\"T_a56c4_row2_col4\" class=\"data row2 col4\" >[{'src_id': 'SHANGHAI STOCK EXCHANGE', 'tgt_id': 'YONGHUI SUPERSTORES CO LTD', 'description': \"The block trade of YONGHUI SUPERSTORES Co Ltd's shares took place at the Shanghai Stock...</td>\n",
       "      <td id=\"T_a56c4_row2_col5\" class=\"data row2 col5\" >✔️ [0.3]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a56c4_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_a56c4_row3_col0\" class=\"data row3 col0\" >LONDON (Reuters) - Britain’s economy was weaker than previously thought in 2017, official data showed on Thursday, leaving the country lagging further behind the global...</td>\n",
       "      <td id=\"T_a56c4_row3_col1\" class=\"data row3 col1\" >[{'entity_name': 'BRITAIN', 'entity_type': 'LOCATION', 'description': 'The country whose economy was weaker than previously thought in 2017.', 'importance_score': 0.9}, {'entity_name': 'EUROPEAN UNION', 'entity_type': 'ORGANIZATION', 'description': 'The...</td>\n",
       "      <td id=\"T_a56c4_row3_col2\" class=\"data row3 col2\" >[{'src_id': 'BRITAIN', 'tgt_id': 'EUROPEAN UNION', 'description': 'Britain is preparing to leave the European Union.', 'weight': 0.9, 'order': 1}, {'src_id': 'BANK OF ENGLAND', 'tgt_id': 'INTEREST RATES',...</td>\n",
       "      <td id=\"T_a56c4_row3_col3\" class=\"data row3 col3\" >[{'entity_name': 'BRITAIN', 'entity_type': 'LOCATION', 'description': 'The country whose economy was weaker than previously thought in 2017.', 'importance_score': 0.9}, {'entity_name': 'EUROPEAN UNION', 'entity_type': 'ORGANIZATION', 'description': 'The...</td>\n",
       "      <td id=\"T_a56c4_row3_col4\" class=\"data row3 col4\" >[{'src_id': 'BRITAIN', 'tgt_id': 'EUROPEAN UNION', 'description': 'Britain is preparing to leave the European Union.', 'weight': 0.8, 'order': 1}, {'src_id': 'BRITAIN', 'tgt_id': 'BANK OF ENGLAND', 'description':...</td>\n",
       "      <td id=\"T_a56c4_row3_col5\" class=\"data row3 col5\" >✔️ [0.4]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_a56c4_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_a56c4_row4_col0\" class=\"data row4 col0\" >Trump taps White House doctor as new VA secretary 2 Hours Ago CNBC's Kayla Tausche reports President Trump has tapped White House physician Rear Admiral...</td>\n",
       "      <td id=\"T_a56c4_row4_col1\" class=\"data row4 col1\" >[{'entity_name': 'TRUMP', 'entity_type': 'PERSON', 'description': 'President Trump who tapped Ronny Jackson as new VA secretary.', 'importance_score': 1.0}, {'entity_name': 'WHITE HOUSE', 'entity_type': 'ORGANIZATION', 'description': 'The White...</td>\n",
       "      <td id=\"T_a56c4_row4_col2\" class=\"data row4 col2\" >[{'src_id': 'TRUMP', 'tgt_id': 'RONNY JACKSON', 'description': 'President Trump taps Ronny Jackson as new VA secretary.', 'weight': 1.0, 'order': 1}, {'src_id': 'RONNY JACKSON', 'tgt_id': 'VA', 'description':...</td>\n",
       "      <td id=\"T_a56c4_row4_col3\" class=\"data row4 col3\" >[{'entity_name': 'TRUMP', 'entity_type': 'PERSON', 'description': 'The President who tapped Rear Admiral Ronny Jackson as the new VA secretary.', 'importance_score': 0.9}, {'entity_name': 'REAR ADMIRAL RONNY JACKSON',...</td>\n",
       "      <td id=\"T_a56c4_row4_col4\" class=\"data row4 col4\" >[{'src_id': 'TRUMP', 'tgt_id': 'REAR ADMIRAL RONNY JACKSON', 'description': 'President Trump tapped Rear Admiral Ronny Jackson to run the Department of Veterans Affairs.', 'weight': 0.9, 'order':...</td>\n",
       "      <td id=\"T_a56c4_row4_col5\" class=\"data row4 col5\" >✔️ [0.65]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x321619420>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <div style='\n",
       "                    text-align: center;\n",
       "                    font-size: 16px;\n",
       "                    font-weight: bold;\n",
       "                    color: #555;\n",
       "                    margin: 10px 0;'>\n",
       "                    ... 15 more rows not displayed ...\n",
       "                </div>\n",
       "                "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics = [entity_recall_metric, relationships_similarity_metric]\n",
    "for metric in metrics:\n",
    "    evaluate = Evaluate(\n",
    "        devset=devset[:20], \n",
    "        metric=metric, \n",
    "        num_threads=os.cpu_count(), \n",
    "        display_progress=True,\n",
    "        display_table=5,\n",
    "    )\n",
    "    evaluate(miprov2_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('extractor.predictor', Predict(StringSignature(input_text, entity_types -> reasoning, entities_relationships\n",
      "    instructions=\"You are a meticulous entity relationship extractor tasked with analyzing a given text and extracting detailed entities and their relationships based on specified entity types. Your process involves:\\n\\n1. Identifying entities in the text that match the provided entity types, ensuring comprehensive descriptions and ignoring duplicates or generic terms.\\n\\n2. Extracting relationships between these entities using 'src_id' and 'tgt_id' keys from the text descriptions.\\n\\n3. Classifying relationships as direct (order:0), second-order (order:2), or third-order (order:3) based on their proximity and context in the text.\\n\\n4. Ensuring all entities and relationships are organized into a structured JSON object following the specified schema, providing clear and detailed descriptions for each entity and relationship.\"\n",
      "    input_text = Field(annotation=str required=True json_schema_extra={'desc': 'The text to extract entities and relationships from.', '__dspy_field_type': 'input', 'prefix': 'Input Text:'})\n",
      "    entity_types = Field(annotation=list[str] required=True json_schema_extra={'desc': 'List of entity types used for extraction.', '__dspy_field_type': 'input', 'prefix': 'Entity Types:'})\n",
      "    reasoning = Field(annotation=str required=True json_schema_extra={'prefix': \"Reasoning: Let's think step by step in order to\", 'desc': '${produce the entities_relationships}. We ...', '__dspy_field_type': 'output'})\n",
      "    entities_relationships = Field(annotation=list[Union[Entity, Relationship]] required=True json_schema_extra={'desc': 'List of entities and relationships extracted from the text.', '__dspy_field_type': 'output', 'prefix': 'Entities Relationships:'})\n",
      ")))]\n"
     ]
    }
   ],
   "source": [
    "miprov2_model.save(entity_relationship_miprov2_path)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "nano-graphrag",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}