Triple

T3374594
Position Surface form Disambiguated ID Type / Status
Subject Charlie Bubbles E71036 entity
Predicate stars P1956 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: [Charlie Bubbles, stars, Liza Minnelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liza Minnelli
Context triple: [Charlie Bubbles, stars, 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bf4ad88190a2c49dc30f323a13 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33442f28c8190b48a662a5dd1bac3 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.