Triple

T1108191
Position Surface form Disambiguated ID Type / Status
Subject Salmon Fishing in the Yemen E25533 entity
Predicate cinematography P1953 FINISHED
Object Terry Stacey E152564 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: Terry Stacey | Statement: [Salmon Fishing in the Yemen, cinematography, Terry Stacey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Stacey
Context triple: [Salmon Fishing in the Yemen, cinematography, Terry Stacey]
  • A. Terry Stacey chosen
    Terry Stacey is a British cinematographer known for his work on feature films such as "Just Wright" and other mainstream and independent movies.
  • B. Terry Rankine
    Terry Rankine is an architect best known as one of the founders of the influential design firm Cambridge Seven Associates.
  • C. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • D. Terry Hartford
    Terry Hartford is a fictional character from the American prime-time television soap opera "Falcon Crest."
  • E. Terry McAulay
    Terry McAulay is a former National Football League official who served as a referee in multiple Super Bowls and later became a rules analyst for television broadcasts.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce55b5748190b54b8205a735ae89 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:43 p.m.