Triple

T18045514
Position Surface form Disambiguated ID Type / Status
Subject Jon Hensley E431760 entity
Predicate notableRole P22 FINISHED
Object Holden Snyder 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: Holden Snyder | Statement: [Jon Hensley, notableRole, Holden Snyder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holden Snyder
Context triple: [Jon Hensley, notableRole, Holden Snyder]
  • A. Holden Snyder chosen
    Holden Snyder is a long-running fictional character from the American soap opera "As the World Turns," known for his central role in the Snyder family storylines.
  • B. Mike Boynton
    Mike Boynton is an American college basketball coach best known as the head coach of the Oklahoma State Cowboys men's basketball team.
  • C. Darryl Frank
    Darryl Frank is an American television and film producer known for his work on high-profile series such as Falling Skies and other Amblin Television projects.
  • D. Mick Cronin
    Mick Cronin is an American college basketball coach best known for leading the UCLA Bruins and previously building a consistently successful program at the University of Cincinnati.
  • E. Chris Finch
    Chris Finch is an American professional basketball coach best known for leading the NBA’s Minnesota Timberwolves.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.