Triple

T4941303
Position Surface form Disambiguated ID Type / Status
Subject Thomas Durant (Hell on Wheels) E110939 entity
Predicate createdBy P806 FINISHED
Object Joe Gayton E187164 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: Joe Gayton | Statement: [Thomas Durant (Hell on Wheels), createdBy, Joe Gayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Gayton
Context triple: [Thomas Durant (Hell on Wheels), createdBy, Joe Gayton]
  • A. Joe Gayton chosen
    Joe Gayton is an American screenwriter and producer best known for co-creating the Western television drama series "Hell on Wheels."
  • B. Tony Puryear
    Tony Puryear is an American screenwriter best known for co-writing the 1996 action film "Eraser" starring Arnold Schwarzenegger.
  • C. Glen Graham
    Glen Graham is an American rock drummer best known as the percussionist for the alternative rock band Blind Melon.
  • D. Mike Grier
    Mike Grier is a former NHL winger who became the first Black general manager in league history when he took over hockey operations for the San Jose Sharks.
  • E. Kevin Gage
    Kevin Gage is an American actor best known for his intense supporting roles in films such as "Heat" and "G.I. Jane."
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708ba9888190baf4e79c8f159e9f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c4857cc819085fbdd996134a5e8 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:31 p.m.