Triple

T7543237
Position Surface form Disambiguated ID Type / Status
Subject Charley Chase E178332 entity
Predicate name P16 FINISHED
Object Charley Chase E178332 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: Charley Chase | Statement: [Charley Chase, name, Charley Chase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charley Chase
Context triple: [Charley Chase, name, Charley Chase]
  • A. Charley Chase chosen
    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.
  • B. 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.
  • C. Charles Gleason
    Charles Gleason is a personal name shared by multiple individuals, including various professionals and public figures, rather than a single widely recognized person.
  • D. Oliver Hardy
    Oliver Hardy was an American comic actor best known as one half of the legendary film comedy duo Laurel and Hardy.
  • E. Ed Wynn
    Ed Wynn was an American comedian and character actor known for his distinctive high-pitched voice and whimsical performances in early radio, film, and television.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8762b048190a0b262f9cb3fe1b0 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870741e2481909020633203003a68 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:48 p.m.