Triple

T9327805
Position Surface form Disambiguated ID Type / Status
Subject Hubert de Givenchy E224436 entity
Predicate notableClient P7186 FINISHED
Object Ingrid Bergman E16365 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: Ingrid Bergman | Statement: [Hubert de Givenchy, notableClient, Ingrid Bergman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingrid Bergman
Context triple: [Hubert de Givenchy, notableClient, Ingrid Bergman]
  • A. Ingrid Bergman chosen
    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."
  • B. Eva Bergman
    Eva Bergman is a Swedish theatre and television director, known for her work on stage and screen and as the daughter of filmmaker Ingmar Bergman.
  • C. Ingrid Thulin
    Ingrid Thulin was a renowned Swedish actress best known for her intense, emotionally complex performances in several of Ingmar Bergman’s classic films.
  • D. Audrey Hepburn
    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."
  • E. Greta Garbo
    Greta Garbo was a legendary Swedish-American film actress of the silent and early sound eras, renowned for her enigmatic screen presence and roles in classics such as "Anna Karenina" and "Camille."
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37aa78648190b786b50402b15569 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3aad3cc819089c9d7ca96034bc5 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:39 p.m.