Triple

T15950200
Position Surface form Disambiguated ID Type / Status
Subject Cullen Bohannon E386793 entity
Predicate creator P184 FINISHED
Object Tony Gayton E115408 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: Tony Gayton | Statement: [Cullen Bohannon, creator, Tony Gayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Gayton
Context triple: [Cullen Bohannon, creator, Tony Gayton]
  • A. Tony Gayton chosen
    Tony Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
  • B. Greg Corbin
    Greg Corbin is a character from the animated television series "American Dad!", known as Stan Smith’s liberal, openly gay neighbor and local news anchor.
  • C. Rockmond Dunbar
    Rockmond Dunbar is an American actor known for his roles in television series such as "Prison Break," "Sons of Anarchy," and "9-1-1."
  • D. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • E. Pete Dayton
    Pete Dayton is a central, enigmatic young mechanic in David Lynch’s film "Lost Highway," whose mysterious transformation and involvement in a violent crime drive much of the movie’s surreal narrative.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d4c5008190a56ebf8c28f712dc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe78a76481909622d7a2443cba4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.