Triple

T4551970
Position Surface form Disambiguated ID Type / Status
Subject Hardy E120385 entity
Predicate hasNotableBearer P458 FINISHED
Object Oliver Hardy E176932 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: Oliver Hardy | Statement: [Hardy, hasNotableBearer, Oliver Hardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver Hardy
Context triple: [Hardy, hasNotableBearer, Oliver Hardy]
  • A. Oliver Hardy chosen
    Oliver Hardy was an American comic actor best known as one half of the legendary film comedy duo Laurel and Hardy.
  • B. 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.
  • 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. Buster Keaton
    Buster Keaton was a pioneering American silent film actor, comedian, and director renowned for his deadpan expression and innovative physical comedy.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd57f7b9748190af29d02fc77b02e0 completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb954393c8190b6ff6a5faa129d09 completed March 20, 2026, 9:17 p.m.
Created at: March 20, 2026, 1:09 p.m.