Triple

T1005763
Position Surface form Disambiguated ID Type / Status
Subject Who Wants to Be a Millionaire? E21706 entity
Predicate performerInFilm P5563 FINISHED
Object Celeste Holm E534 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: Celeste Holm | Statement: [Who Wants to Be a Millionaire?, performerInFilm, Celeste Holm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celeste Holm
Context triple: [Who Wants to Be a Millionaire?, performerInFilm, Celeste Holm]
  • A. Celeste Holm chosen
    Celeste Holm was an American actress best known for her Academy Award–winning performance in "Gentleman's Agreement" and her work on stage and screen during Hollywood's Golden Age.
  • B. Ruth Gordon
    Ruth Gordon was an American actress and screenwriter renowned for her late-career film roles, particularly in "Rosemary's Baby" and "Harold and Maude."
  • C. Dorothy McGuire
    Dorothy McGuire was an American film and stage actress known for her sensitive, understated performances in classic mid-20th-century Hollywood dramas.
  • D. Patsy O’Hara
    Patsy O’Hara was an Irish republican volunteer and INLA member from Derry who died on hunger strike in the Maze Prison in 1981.
  • E. Frances Bavier
    Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7570b388190ada9693935792a58 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac83000d408190a79f6cdaee32b0f7 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:41 p.m.