Triple

T2104390
Position Surface form Disambiguated ID Type / Status
Subject Hal Roach Studios E37158 entity
Predicate employed P7 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: [Hal Roach Studios, employed, Charley Chase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charley Chase
Context triple: [Hal Roach Studios, employed, 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. Oliver Hardy
    Oliver Hardy was an American comic actor best known as one half of the legendary film comedy duo Laurel and Hardy.
  • C. Buster Keaton
    Buster Keaton was a pioneering American silent film actor, comedian, and director renowned for his deadpan expression and innovative physical comedy.
  • D. Stan Laurel
    Stan Laurel was a British-born comic actor, writer, and director best known as one half of the legendary slapstick duo Laurel and Hardy.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabf7cdc81909636dff34badc1c5 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518fb0b4819096a8ce455e22661a completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.