Triple

T11605663
Position Surface form Disambiguated ID Type / Status
Subject Chris Adams E275251 entity
Predicate hires P59576 FINISHED
Object Harry Luck E252851 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: Harry Luck | Statement: [Chris Adams, hires, Harry Luck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Luck
Context triple: [Chris Adams, hires, Harry Luck]
  • A. Harry Luck chosen
    Harry Luck is a fortune-seeking gunfighter and one of the seven hired protectors in the classic Western film "The Magnificent Seven" (1960).
  • B. Homer Drew
    Homer Drew is a longtime American college basketball coach best known for leading Valparaiso University to multiple NCAA Tournament appearances and for being the father of fellow coach Scott Drew.
  • C. Brady Cunningham
    Brady Cunningham is an American fashion designer and stylist best known as the wife of actor and musician Jason Schwartzman.
  • D. Fielder Jones
    Fielder Jones was an early 20th-century Major League Baseball manager and outfielder best known for leading the Chicago White Sox to a championship in the dead-ball era.
  • E. Tom Richmond
    Tom Richmond is an American cinematographer known for his work on independent and genre films, including Rob Zombie’s horror movie "House of 1000 Corpses."
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee871c3dbc8190922d125a04a9ee98 completed April 26, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:38 p.m.