Triple

T10996945
Position Surface form Disambiguated ID Type / Status
Subject Troy Garity E259897 entity
Predicate relative P37 FINISHED
Object Bridget Fonda E75484 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: Bridget Fonda | Statement: [Troy Garity, relative, Bridget Fonda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridget Fonda
Context triple: [Troy Garity, relative, 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. 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.
  • C. Lucinda Jenney
    Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
  • D. Elizabeth Daley
    Elizabeth Daley is one of the daughters of the late Chicago First Lady Maggie Daley and former Chicago Mayor Richard M. Daley.
  • E. Carol Bridger
    Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d20b448190958331705de3a9be completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374762c748190a8c83f3d6fa7b1d3 completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:24 p.m.