Triple

T20361110
Position Surface form Disambiguated ID Type / Status
Subject Spun E496781 entity
Predicate producer P490 FINISHED
Object Chris Hanley 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: Chris Hanley | Statement: [Spun, producer, Chris Hanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Hanley
Context triple: [Spun, producer, Chris Hanley]
  • A. Chris Hanley chosen
    Chris Hanley is an American film producer known for backing distinctive independent films such as "Buffalo ’66" and "American Psycho."
  • B. Robert Charles Hunter
    Robert Charles Hunter is known primarily as the former husband of American actress Diane Ladd.
  • C. James Coryell
    James Coryell was a Texas frontiersman and early settler whose legacy is commemorated by having Coryell County, Texas, named in his honor.
  • D. Mike Keneally
    Mike Keneally is an American multi-instrumentalist, composer, and producer best known for his work with Frank Zappa and his adventurous, genre-blending solo projects.
  • E. Don Helm
    Don Helm was an American steel guitarist best known for his work with Hank Williams’ Drifting Cowboys, contributing to the signature sound of classic country music recordings.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6786de5988190827584358c9db147 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:25 a.m.