Triple

T10039983
Position Surface form Disambiguated ID Type / Status
Subject New York, New York E205269 entity
Predicate castMember P1668 FINISHED
Object Liza Minnelli E23314 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: Liza Minnelli | Statement: [New York, New York, castMember, Liza Minnelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liza Minnelli
Context triple: [New York, New York, castMember, Liza Minnelli]
  • A. Liza Minnelli chosen
    Liza Minnelli is an American actress and singer best known for her Academy Award-winning performance in the film "Cabaret" and her powerful stage presence in musical theatre and concerts.
  • B. Mitzi Gaynor
    Mitzi Gaynor is an American actress, singer, and dancer best known for her starring role in the film musical "South Pacific" and her vibrant performances on stage and television.
  • C. Christian Minnelli
    Christian Minnelli is a child of acclaimed American film director Vincente Minnelli.
  • D. Denise "Danielle" Minnelli
    Denise "Danielle" Minnelli was the fourth wife of acclaimed American film director Vincente Minnelli.
  • E. Lester Anthony Minnelli
    Lester Anthony Minnelli, better known as Vincente Minnelli, was an influential American film director famed for his visually lavish and innovative Hollywood musicals and dramas, including classics like "An American in Paris" and "Gigi."
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee186708190bc9fecd637b4f7e6 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a2cbdd08190b1ef7602ad160114 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:55 p.m.