Triple

T3290281
Position Surface form Disambiguated ID Type / Status
Subject Steve Coogan E69082 entity
Predicate portrayed P1668 FINISHED
Object Tony Wilson E28192 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 Wilson | Statement: [Steve Coogan, portrayed, Tony Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Wilson
Context triple: [Steve Coogan, portrayed, Tony Wilson]
  • A. Tony Wilson chosen
    Tony Wilson was a British music impresario, journalist, and co-founder of Factory Records, instrumental in shaping Manchester’s post-punk and rave scenes.
  • B. Rodney Bingenheimer
    Rodney Bingenheimer is an influential American disc jockey and music promoter, best known for championing emerging rock and punk bands on Los Angeles radio station KROQ.
  • C. Mike Andrews
    Mike Andrews is a former Major League Baseball second baseman best known for his time with the Boston Red Sox during their famed "Impossible Dream" 1967 season.
  • D. Artie Kane
    Artie Kane is an American pianist, composer, and prolific film and television orchestrator known for his work on numerous Hollywood scores and TV movies.
  • E. Greg Morrisett
    Greg Morrisett is a computer scientist known for his work on programming languages and type systems, particularly in the design of safe and secure systems.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05bd6b08190bcb9f0e5da82bc21 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e862835881909c2f3b8f86f10742 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.