Triple

T16857967
Position Surface form Disambiguated ID Type / Status
Subject Ingrid Rossellini E409835 entity
Predicate grandmother P3524 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: [Ingrid Rossellini, grandmother, Ingrid Bergman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingrid Bergman
Context triple: [Ingrid Rossellini, grandmother, 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. Luise Rainer
    Luise Rainer was a German-born American actress and two-time Academy Award winner in the 1930s, known for her emotionally nuanced performances in 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a08be48190bd2dbf83205c83ad completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:24 a.m.