Triple

T15468537
Position Surface form Disambiguated ID Type / Status
Subject John Kander E372093 entity
Predicate collaborator P11349 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: [John Kander, collaborator, Liza Minnelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liza Minnelli
Context triple: [John Kander, collaborator, 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f69a31c81909a749247b6615d91 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d03845c8190bc8cb96827a5da39 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.