Triple

T22100177
Position Surface form Disambiguated ID Type / Status
Subject Barbet Schroeder E546147 entity
Predicate workedWith P398 FINISHED
Object Bridget Fonda NE NERFINISHED

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: Bridget Fonda | Statement: [Barbet Schroeder, workedWith, Bridget Fonda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridget Fonda
Context triple: [Barbet Schroeder, workedWith, Bridget Fonda]
  • A. Bridget Fonda chosen
    Bridget Fonda is an American actress known for her roles in 1990s films such as "Single White Female," "Point of No Return," and "Jackie Brown," and as a member of the famous Fonda acting family.
  • B. Bridget Hoffman
    Bridget Hoffman is an American voice actress known for her work in anime, video games, and animated series.
  • C. Elisabeth McGowan
    Elisabeth McGowan was an American theater pioneer best known as one of the founders of the Cleveland Play House, one of the nation’s oldest professional regional theaters.
  • D. Judy Foster
    Judy Foster is the lively, boy-crazy teenage heroine of the radio, film, and comic series "A Date with Judy," known for her humorous misadventures in romance and family life.
  • E. Lucinda Jenney
    Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291440048190992c48893ced0b34 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.