Triple

T13883557
Position Surface form Disambiguated ID Type / Status
Subject Marni Nixon E333777 entity
Predicate sangFor P40601 FINISHED
Object Audrey Hepburn E30448 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: Audrey Hepburn | Statement: [Marni Nixon, sangFor, Audrey Hepburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audrey Hepburn
Context triple: [Marni Nixon, sangFor, Audrey Hepburn]
  • A. Audrey Hepburn chosen
    Audrey Hepburn was an iconic British actress and humanitarian, celebrated for her timeless style and roles in classic films such as "Breakfast at Tiffany's."
  • B. Deborah Kerr
    Deborah Kerr was a renowned Scottish actress celebrated for her elegant and versatile performances in classic films such as "The King and I," "From Here to Eternity," and "An Affair to Remember."
  • C. Lesley Caron
    Lesley Caron is a British theatre director known for her work on stage productions and for being married to fellow director Peter Hall.
  • D. Ingrid Bergman
    Ingrid Bergman was an acclaimed Swedish actress and three-time Academy Award winner best known for her luminous performances in classic films such as "Casablanca" and "Notorious."
  • E. Katharine Hepburn
    Katharine Hepburn was an iconic American actress renowned for her fiercely independent screen persona, sharp wit, and a record four Academy Awards for Best Actress during Hollywood’s Golden Age.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0bea4d248190bcbcea9ea875c5f9 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1bdb1a08190abaf4d9ceb04525a completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:15 p.m.