Triple

T23419948
Position Surface form Disambiguated ID Type / Status
Subject Sid Gillman E560623 entity
Predicate fullName P16 FINISHED
Object Sidney Gillman NE NERFINISHED

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: Sidney Gillman | Statement: [Sid Gillman, fullName, Sidney Gillman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney Gillman
Context triple: [Sid Gillman, fullName, Sidney Gillman]
  • A. Sid Gillman chosen
    Sid Gillman was an innovative American football coach and Hall of Famer widely regarded as a pioneer of the modern passing offense.
  • B. Barney Rosset
    Barney Rosset was an influential American publisher and free-speech advocate best known for championing controversial and avant-garde literature, including landmark obscenity battles over works like "Lady Chatterley’s Lover" and "Tropic of Cancer."
  • C. Bruce Berman
    Bruce Berman is an American film producer and studio executive known for overseeing and producing numerous major Hollywood films.
  • D. Tom Garfinkel
    Tom Garfinkel is a sports executive best known for leading the business operations and strategic development of the NFL’s Miami Dolphins and their home stadium.
  • E. Russ Krasnoff
    Russ Krasnoff is a film and television producer known for his work on projects such as the drama film "Denial."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54489d48190b2b2c29701851765 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:44 p.m.