Triple

T1147765
Position Surface form Disambiguated ID Type / Status
Subject For Me and My Gal E23605 entity
Predicate screenwriter P2831 FINISHED
Object Fred F. Finklehoffe E248415 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fred F. Finklehoffe | Statement: [For Me and My Gal, screenwriter, Fred F. Finklehoffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred F. Finklehoffe
Context triple: [For Me and My Gal, screenwriter, Fred F. Finklehoffe]
  • A. Fred F. Finklehoffe chosen
    Fred F. Finklehoffe was an American screenwriter and producer best known for his work on classic Hollywood films and collaborations with major studios during the 1940s.
  • B. Walter Blume
    Walter Blume was a German aircraft designer and former World War I fighter ace best known for his work on advanced Luftwaffe aircraft during the Second World War.
  • C. Walter Naegle
    Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
  • D. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • E. Edwin Blashfield
    Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc7041248190893e4c655dbd0604 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69af6523d8f4819082396925561acdc4 completed March 10, 2026, 12:26 a.m.
Created at: March 1, 2026, 7:44 p.m.