{"_id": {"$oid": "6a671d25338dadb0be4e84cc"}, "test_id": "T1412", "benchmark": "blacklist_cards", "date": "2026-07-25", "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-opus-5", "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\":\"Societ\u00e0 Finanziaria Assicurativa\"},\"location\":{\"transcription\":\"Milano, Succursale Zurigo\"},\"b_id\":{\"transcription\":\"B.51.322.GB.71.\"},\"date\":\"\\\"\\\"\",\"information\":[{\"transcription\":\"Britische schwarze Liste\\n13. Amendment vom 16. 12. 1940\"},{\"transcription\":\"gestrichen:\\nAmendment 11, 30.10.45.\"},{\"transcription\":\"35272\"}]}", "model": "claude-opus-5", "provider": "anthropic", "finish_reason": "tool_use", "usage": {"input_tokens": 4325, "output_tokens": 261, "total_tokens": 4586, "input_cost_usd": 0.021625, "output_cost_usd": 0.006525, "estimated_cost_usd": 0.028149999999999998}, "duration": 21.52190613746643, "timestamp": "2026-07-25T19:44:53.063636", "parsed": {"company": {"transcription": "Societ\u00e0 Finanziaria Assicurativa"}, "location": {"transcription": "Milano, Succursale Zurigo"}, "b_id": {"transcription": "B.51.322.GB.71."}, "date": "\"\"", "information": [{"transcription": "Britische schwarze Liste\n13. Amendment vom 16. 12. 1940"}, {"transcription": "gestrichen:\nAmendment 11, 30.10.45."}, {"transcription": "35272"}]}, "conversation_id": "a56208d4-f5c5-4025-8cc7-a627909ef9f3", "score": {"fuzzy": 0.7851553767046725}, "raw_response": "{\"id\":\"msg_011CdPC5Rr8qAkFe5w6SYUcw\",\"container\":null,\"content\":[{\"id\":\"toolu_016Vd4kTWvbHfFp2WPJdW4mf\",\"caller\":{\"type\":\"direct\"},\"input\":{\"company\":{\"transcription\":\"Societ\u00e0 Finanziaria Assicurativa\"},\"location\":{\"transcription\":\"Milano, Succursale Zurigo\"},\"b_id\":{\"transcription\":\"B.51.322.GB.71.\"},\"date\":\"\\\"\\\"\",\"information\":[{\"transcription\":\"Britische schwarze Liste\\n13. Amendment vom 16. 12. 1940\"},{\"transcription\":\"gestrichen:\\nAmendment 11, 30.10.45.\"},{\"transcription\":\"35272\"}]},\"name\":\"extract_structured_data\",\"type\":\"tool_use\"}],\"model\":\"claude-opus-5\",\"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,\"inference_geo\":\"global\",\"input_tokens\":4325,\"output_tokens\":261,\"server_tool_use\":null,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":0}},\"stop_details\":null}"}, "scoring": {"fuzzy": 0.8109214829179742, "cost_summary": {"total_input_tokens": 143296, "total_output_tokens": 8378, "total_tokens": 151674, "input_cost_usd": 0.71648, "output_cost_usd": 0.20945000000000003, "total_cost_usd": 0.9259299999999998}}, "normalized_score": 81.09214829179741}