Triple

T2984763
Position Surface form Disambiguated ID Type / Status
Subject Bonnie Hunt E80595 entity
Predicate birthName P65 FINISHED
Object Bonnie Lynn Hunt E80595 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: Bonnie Lynn Hunt | Statement: [Bonnie Hunt, birthName, Bonnie Lynn Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnie Lynn Hunt
Context triple: [Bonnie Hunt, birthName, Bonnie Lynn Hunt]
  • A. Bonnie Hunt chosen
    Bonnie Hunt is an American actress, comedian, writer, director, and television host known for her roles in films like "Jumanji," "Jerry Maguire," and "Cheaper by the Dozen," as well as for voicing characters in multiple Pixar animated movies.
  • B. Lindsay Crouse
    Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
  • C. Mary Lynn Rajskub
    Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
  • D. Cindy Williams
    Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
  • E. JoBeth Williams
    JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c65ad0819087bb4ae92ab0dc55 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eede693c8190a49be9d267bed6fa completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 2:59 p.m.