Triple

T7615629
Position Surface form Disambiguated ID Type / Status
Subject Mel Ferrer E172353 entity
Predicate spouse P13 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: [Mel Ferrer, spouse, Audrey Hepburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audrey Hepburn
Context triple: [Mel Ferrer, spouse, 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. 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."
  • D. 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.
  • E. Elizabeth Taylor
    Elizabeth Taylor was a legendary British-American actress and Hollywood icon renowned for her beauty, violet eyes, and acclaimed performances in films such as "Cleopatra" and "Who's Afraid of Virginia Woolf?".
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4569c88190b2968403a24e7882 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c922a94b3881908a3482ca45891df7 completed March 29, 2026, 1:01 p.m.
Created at: March 27, 2026, 3:55 p.m.