Triple

T1070462
Position Surface form Disambiguated ID Type / Status
Subject Liza Minnelli E23314 entity
Predicate birthName P65 FINISHED
Object Liza May 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 May Minnelli | Statement: [Liza Minnelli, birthName, Liza May Minnelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liza May Minnelli
Context triple: [Liza Minnelli, birthName, Liza May 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. Mamie Van Doren
    Mamie Van Doren is an American actress, singer, and 1950s sex symbol known for her roles in rock 'n' roll and exploitation films.
  • C. Debbie Reynolds
    Debbie Reynolds was an American actress, singer, and dancer best known for her roles in classic Hollywood musicals such as "Singin' in the Rain."
  • D. Pat Farrah
    Pat Farrah is an American retail executive best known as a co-founder of The Home Depot and a key architect of the big-box home improvement store concept.
  • E. Rosemary Clooney
    Rosemary Clooney was a popular American singer and actress best known for her warm vocal style and starring role in the classic film "White Christmas."
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92848148190ba8795cb8d0a1d0a completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f0a15e48190a011c4aff5c285af completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:42 p.m.