Triple

T3290280
Position Surface form Disambiguated ID Type / Status
Subject Steve Coogan E69082 entity
Predicate portrayed P1668 FINISHED
Object Stan Laurel E175890 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: Stan Laurel | Statement: [Steve Coogan, portrayed, Stan Laurel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Laurel
Context triple: [Steve Coogan, portrayed, Stan Laurel]
  • A. Stan Laurel chosen
    Stan Laurel was a British-born comic actor, writer, and director best known as one half of the legendary slapstick duo Laurel and Hardy.
  • B. Oliver Hardy
    Oliver Hardy was an American comic actor best known as one half of the legendary film comedy duo Laurel and Hardy.
  • C. Charley Chase
    Charley Chase was an American silent and early sound film comedian, actor, and director best known for his work in short comedies at the Hal Roach Studios in the 1920s and 1930s.
  • D. W. C. Fields
    W. C. Fields was a famed American comedian, actor, and writer known for his misanthropic persona, distinctive drawl, and influential work in vaudeville and early Hollywood films.
  • E. Harold Lloyd
    Harold Lloyd was a pioneering American silent film comedian and actor, best known for his daredevil stunts and iconic horn-rimmed glasses in classic films like "Safety Last!".
  • 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.