{"_id": {"$oid": "69d4eb12b877594bc5718a9e"}, "test_id": "T0528", "benchmark": "blacklist_cards", "date": "2026-01-24", "tags": {"document-type": ["index-card"], "writing": ["typed", "handwritten"], "century": [20], "language": ["de"], "entry-type": ["company"], "task": ["information-extraction"]}, "contributors": ["lea_kasper", "sorin_marti"], "hidden": false, "config": {"provider": "anthropic", "model": "claude-haiku-4-5-20251001", "dataclass": "Card", "temperature": 0.5, "role_description": "You are a Historian", "prompt_file": "prompt.txt", "legacy_test": false}, "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": {"text": "{\"company\":{\"transcription\":\"Kolter G.m.b.H.\"},\"location\":{\"transcription\":\"Zurich\"},\"b_id\":{\"transcription\":\"B.51.322.GB.1176\"},\"date\":\"1943-10-15\",\"information\":[{\"transcription\":\"Britische schwarze Liste,\\nAmendment 15, Oktober 1943.\"},{\"transcription\":\"gestrichen:\\nAmendment 15, Januar 1945.\"},{\"transcription\":\"fg worde beef frung. birk\"}]}", "model": "claude-haiku-4-5-20251001", "provider": "anthropic", "finish_reason": "tool_use", "usage": {"input_tokens": 2785, "output_tokens": 210, "total_tokens": 2995, "input_cost_usd": 0.002785, "output_cost_usd": 0.0010500000000000002, "estimated_cost_usd": 0.0038350000000000003}, "duration": 2.46785044670105, "timestamp": "2026-01-24T18:33:02.777303", "parsed": {"company": {"transcription": "Kolter G.m.b.H."}, "location": {"transcription": "Zurich"}, "b_id": {"transcription": "B.51.322.GB.1176"}, "date": "1943-10-15", "information": [{"transcription": "Britische schwarze Liste,\nAmendment 15, Oktober 1943."}, {"transcription": "gestrichen:\nAmendment 15, Januar 1945."}, {"transcription": "fg worde beef frung. birk"}]}, "conversation_id": "830da5d8-5628-4309-bef0-d35fe4b1fe04", "score": {"fuzzy": 0.7351267779839209}, "raw_response": "{\"id\":\"msg_01DUTSSaThAexFXLBD6mv8w6\",\"content\":[{\"id\":\"toolu_013G9oQiLUeG3Pp1SXSqoDf1\",\"input\":{\"company\":{\"transcription\":\"Kolter G.m.b.H.\"},\"location\":{\"transcription\":\"Zurich\"},\"b_id\":{\"transcription\":\"B.51.322.GB.1176\"},\"date\":\"1943-10-15\",\"information\":[{\"transcription\":\"Britische schwarze Liste,\\nAmendment 15, Oktober 1943.\"},{\"transcription\":\"gestrichen:\\nAmendment 15, Januar 1945.\"},{\"transcription\":\"fg worde beef frung. birk\"}]},\"name\":\"extract_structured_data\",\"type\":\"tool_use\"}],\"model\":\"claude-haiku-4-5-20251001\",\"role\":\"assistant\",\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":2785,\"output_tokens\":210,\"server_tool_use\":null,\"service_tier\":\"standard\"}}"}, "scoring": {"fuzzy": 0.8287466620876823, "cost_summary": {"total_input_tokens": 93247, "total_output_tokens": 6445, "total_tokens": 99692, "input_cost_usd": 0.09324700000000001, "output_cost_usd": 0.032225, "total_cost_usd": 0.125472}}, "normalized_score": 82.87466620876823}