Triple

T19527127
Position Surface form Disambiguated ID Type / Status
Subject Willis Bouchey E488553 entity
Predicate name P16 FINISHED
Object Willis Bouchey 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: Willis Bouchey | Statement: [Willis Bouchey, name, Willis Bouchey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willis Bouchey
Context triple: [Willis Bouchey, name, Willis Bouchey]
  • A. Willis Bouchey chosen
    Willis Bouchey was an American character actor known for his prolific work in mid-20th-century film and television, often appearing in Westerns and dramas.
  • B. Gena Lee Nolin
    Gena Lee Nolin is an American actress and model best known for her role as Neely Capshaw on the television series Baywatch.
  • C. Leslie DeMeuse
    Leslie DeMeuse is an American documentary producer and filmmaker best known for her work in sports and adventure programming and for being married to Disney executive Roy E. Disney.
  • D. Ronnie Dove
    Ronnie Dove is an American pop and country singer best known for his string of romantic hits in the 1960s.
  • E. Darby Massey
    Darby Massey is a central character in the film "While We're Young," portrayed as a young, free-spirited Brooklynite whose relationship with an older couple highlights generational contrasts and anxieties about aging.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363c2660819093a6b9a444ca0ad4 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.