Triple

T22044518
Position Surface form Disambiguated ID Type / Status
Subject AFI's 100 Years...100 Passions E544724 entity
Predicate includesFilm P22734 FINISHED
Object Jerry Maguire 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: Jerry Maguire | Statement: [AFI's 100 Years...100 Passions, includesFilm, Jerry Maguire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Maguire
Context triple: [AFI's 100 Years...100 Passions, includesFilm, Jerry Maguire]
  • A. Jerry Maguire chosen
    Jerry Maguire is a 1996 romantic comedy-drama film about a sports agent who experiences a moral epiphany and attempts to rebuild his career and personal life, famously starring Tom Cruise, Renée Zellweger, and Cuba Gooding Jr.
  • B. Danny Collins
    Danny Collins is a 2015 comedy-drama film about an aging rock star who tries to change his life after discovering a long-lost letter from John Lennon.
  • C. John Reilly
    John Reilly is a musician known for being a member of the Irish-American Celtic rock band O'Malley's March.
  • D. John Reilly
    John Reilly was an American actor best known for his long-running roles on daytime soap operas such as General Hospital and Passions.
  • E. Nyles Steele
    Nyles Steele is an actor best known for his role in the television series "Good Behavior."
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282d5bb08190849d5084962bf3a5 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.