Triple

T11394126
Position Surface form Disambiguated ID Type / Status
Subject Once in a Lifetime (1932 film) E269921 entity
Predicate stars P1956 FINISHED
Object ZaSu Pitts E171679 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: ZaSu Pitts | Statement: [Once in a Lifetime (1932 film), stars, ZaSu Pitts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZaSu Pitts
Context triple: [Once in a Lifetime (1932 film), stars, ZaSu Pitts]
  • A. ZaSu Pitts chosen
    ZaSu Pitts was an American actress known for her distinctive comedic persona and expressive features, who appeared in both silent films and talkies throughout a long Hollywood career.
  • B. Lulie Swanson
    Lulie Swanson was the woman who served as the sponsor for the U.S. Navy aircraft carrier USS Enterprise (CV-6) at its launching ceremony.
  • C. Colleen Moore
    Colleen Moore was a popular American silent film actress best known for her flapper roles in the 1920s, which helped define the era’s modern screen heroine.
  • D. Hattie Shaw
    Hattie Shaw is a skilled MI6 field agent and the sister of Deckard Shaw in the Fast & Furious franchise, prominently featured in "Fast & Furious Presents: Hobbs & Shaw."
  • E. Bebe Daniels
    Bebe Daniels was an American actress, singer, and dancer who rose to fame in silent films and early talkies, later becoming a popular radio and stage performer.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80018a58c81908b80dc9abd18d650 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee864bf89081909fa336393e59f073 completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:34 p.m.