Triple

T19144068
Position Surface form Disambiguated ID Type / Status
Subject Baird E468631 entity
Predicate hasNotableBearer P458 FINISHED
Object David Baird (American politician) NE NERFINISHED

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: David Baird (American politician) | Statement: [Baird, hasNotableBearer, David Baird (American politician)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Baird (American politician)
Context triple: [Baird, hasNotableBearer, David Baird (American politician)]
  • A. David Baird Sr. chosen
    David Baird Sr. was an American Republican politician and businessman who served as a United States Senator from New Jersey in the early 20th century.
  • B. David Baird
    David Baird was a British Army general noted for his prominent role in campaigns in India and the Napoleonic Wars.
  • C. Jim Baird
    Jim Baird is a Republican U.S. Representative from Indiana who has served in Congress since 2019 and is known for his background as a farmer, small-business owner, and Vietnam War veteran.
  • D. Bill Baird
    Bill Baird is an American musician and experimental artist known for his work in psychedelic and avant-garde music projects.
  • E. Robert L. Baird
    Robert L. Baird is an American screenwriter best known for his work on animated films for major studios such as Pixar and Disney.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e977fa208190aa8cafd0966599c6 completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:05 p.m.