Triple

T20426935
Position Surface form Disambiguated ID Type / Status
Subject A Walk in the Woods E501026 entity
Predicate producer P490 FINISHED
Object Chip Diggins 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: Chip Diggins | Statement: [A Walk in the Woods, producer, Chip Diggins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chip Diggins
Context triple: [A Walk in the Woods, producer, Chip Diggins]
  • A. Chip Diggins chosen
    Chip Diggins is a film producer best known for his work on the comedy-drama adaptation "A Walk in the Woods."
  • B. Bill Belew
    Bill Belew was an American fashion and costume designer best known for creating many of Elvis Presley’s iconic stage outfits and jumpsuits.
  • C. Don Nehlen
    Don Nehlen is a former American college football coach best known for revitalizing the West Virginia University football program and leading it to national prominence.
  • D. Pat Keady
    Pat Keady is best known as the wife of longtime Purdue basketball coach and Hall of Famer Gene Keady.
  • E. Pat Fitzgerald
    Pat Fitzgerald is an American football coach and former Northwestern University linebacker best known for his long tenure leading Northwestern’s football program and earning multiple national and conference coaching honors.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba9700481909fa23493f98095d1 completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.