{"_id": {"$oid": "6ab1687f1481417a2aae47ec"}, "test_id": "T0324", "benchmark": "blacklist_cards", "date": "2025-10-24", "tags": {"document-type": ["index-card"], "writing": ["typed", "handwritten"], "century": [20], "language": ["de"], "entry-type": ["company"], "task": ["information-extraction"]}, "contributors": ["lea_kasper", "sorin_marti"], "hidden": true, "config": {"provider": "anthropic", "model": "claude-opus-4-1-20250805", "dataclass": "Card", "temperature": 0.5, "role_description": "You are a Historian", "prompt_file": "prompt.txt", "legacy_test": true}, "prompt": "You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.\n\n- \"company\": The primary company name, usually in the top-left. Exclude the location.\n- \"location\": The city or town, often following the company name.\n- \"b_id\": The identifier code, usually in the top-right, starting with \"B.\".\n- \"date\": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.\n- \"information\": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\\\n.\n\nHere is the required JSON format:\n{\n  \"company\": {\"transcription\": \"\"},\n  \"location\": {\"transcription\": \"\"},\n  \"b_id\": {\"transcription\": \"\"},\n  \"date\": \"\",\n  \"information\": [\n    {\"transcription\": \"\"}\n  ]\n}\n\nIf you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.", "results": {"provider": "anthropic", "model": "claude-opus-4-1-20250805", "duration": 6.407536029815674, "timestamp": "2025-10-24T16:48:30.624581", "parsed": {"company": {"transcription": "Abegg & Cie."}, "location": {"transcription": "Z\u00fcrich"}, "b_id": {"transcription": "B.51.322.GB.26"}, "date": "", "information": ""}, "text": "", "raw_response": {"id": "msg_01WN7TJxoZgaLpFDb43gkQtx", "model": "claude-opus-4-1-20250805", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01WygiCaPsSgGGDGjf3x2CTA", "name": "extract_structured_data", "input": {"company": {"transcription": "Abegg & Cie."}, "location": {"transcription": "Z\u00fcrich"}, "b_id": {"transcription": "B.51.322.GB.26"}, "date": "", "information": ""}}], "stop_reason": "tool_use", "usage": {"input_tokens": 1987, "output_tokens": 134}}, "usage": {"input_tokens": 1987, "output_tokens": 134, "total_tokens": 2121, "input_cost_usd": 0.029805, "output_cost_usd": 0.01005, "estimated_cost_usd": 0.039855}, "finish_reason": "stop"}, "scoring": {"fuzzy": 0.886311729286091, "cost_summary": {"total_input_tokens": 65275, "total_output_tokens": 6166, "total_tokens": 71441, "input_cost_usd": 0.979125, "output_cost_usd": 0.46245, "total_cost_usd": 1.441575, "pricing_date": "2025-10-24", "input_price_per_million": 15.0, "output_price_per_million": 75.0}}, "pricing": {"bucket_date": "2025-10-01", "age_days": 23, "input_price_per_million": 15.0, "output_price_per_million": 75.0}, "timing": {"total_response_s": 304.49, "mean_response_s": 9.23, "slowest_response_s": 12.78, "inputs_timed": 33, "inputs_stored": 33, "span_s": 300.14}, "normalized_score": 88.6311729286091}