Triple

T251689
Position Surface form Disambiguated ID Type / Status
Subject Office of War Information E5161 entity
Predicate notableEmployee P304 FINISHED
Object Elmer Davis E33560 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: Elmer Davis | Statement: [Office of War Information, notableEmployee, Elmer Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmer Davis
Context triple: [Office of War Information, notableEmployee, Elmer Davis]
  • A. Elmer Davis chosen
    Elmer Davis was an American news reporter, author, and government official best known for leading U.S. propaganda and information efforts during World War II.
  • B. Lawrence Taylor
    Lawrence Taylor is a legendary former NFL linebacker widely regarded as one of the greatest defensive players in football history.
  • C. John Riggins
    John Riggins is a Hall of Fame NFL running back best known for his powerful rushing style and key role in leading Washington to victory in Super Bowl XVII.
  • D. Joe Theismann
    Joe Theismann is a former NFL quarterback best known for leading Washington to a Super Bowl XVII victory and for his later work as a football broadcaster.
  • E. Art Monk
    Art Monk is a Hall of Fame former NFL wide receiver best known for his prolific pass-catching career with Washington’s football team in the 1980s and early 1990s.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d39eb3881909f435043c8697f13 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b8ca1f08190a13733c03b9161f9 completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.