Triple

T8791525
Position Surface form Disambiguated ID Type / Status
Subject Warden Samuel Norton E209176 entity
Predicate portrayedBy P1507 FINISHED
Object Bob Gunton E201512 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: Bob Gunton | Statement: [Warden Samuel Norton, portrayedBy, Bob Gunton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Gunton
Context triple: [Warden Samuel Norton, portrayedBy, Bob Gunton]
  • A. Bob Gunton chosen
    Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
  • B. Ron Glass
    Ron Glass was an American actor best known for his roles as Detective Ron Harris on the sitcom "Barney Miller" and Shepherd Book on the science fiction series "Firefly."
  • C. Michael Cerveris
    Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
  • D. David Holbrook
    David Holbrook is a British literary critic and scholar known for his work on modernist literature, education, and cultural criticism.
  • E. Bruce Greenwood
    Bruce Greenwood is a Canadian actor known for his versatile roles in film and television, including prominent performances in projects like "Star Trek," "Thirteen Days," and numerous acclaimed dramas.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8e6e4881909155c40c52bc082c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1bbf6b881909bc154caa2fcadbe completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:43 p.m.