Triple

T22235594
Position Surface form Disambiguated ID Type / Status
Subject Heritage Foundation E549583 entity
Predicate hasFormerPresident P32134 FINISHED
Object Kay Coles James NE NERFINISHED

How this triple was built (3 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: Kay Coles James | Statement: [Heritage Foundation, hasFormerPresident, Kay Coles James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kay Coles James
Context triple: [Heritage Foundation, hasFormerPresident, Kay Coles James]
  • A. Kay Elizabeth Davies
    Kay Elizabeth Davies is a British human geneticist renowned for her pioneering research on the molecular basis of neuromuscular and neurological disorders, particularly Duchenne muscular dystrophy.
  • B. Kat Graham
    Kat Graham is an American actress, singer, and dancer best known for her role as Bonnie Bennett on the supernatural drama series "The Vampire Diaries."
  • C. Jennifer Kaytin Robinson
    Jennifer Kaytin Robinson is an American screenwriter and director known for her work in film and television, including co-writing the Marvel Studios film "Thor: Love and Thunder."
  • D. Nessa Jenkins
    Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
  • E. Larissa Howard
    Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kay Coles James
Target entity description: Kay Coles James is an American conservative policy leader and political figure who has held prominent roles in government and think tanks, including serving as president of the Heritage Foundation.
  • A. Kay Elizabeth Davies
    Kay Elizabeth Davies is a British human geneticist renowned for her pioneering research on the molecular basis of neuromuscular and neurological disorders, particularly Duchenne muscular dystrophy.
  • B. Kat Graham
    Kat Graham is an American actress, singer, and dancer best known for her role as Bonnie Bennett on the supernatural drama series "The Vampire Diaries."
  • C. Jennifer Kaytin Robinson
    Jennifer Kaytin Robinson is an American screenwriter and director known for her work in film and television, including co-writing the Marvel Studios film "Thor: Love and Thunder."
  • D. Nessa Jenkins
    Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
  • E. Larissa Howard
    Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
  • F. None of above. chosen

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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf6d74c8190a1d8d8fc24a06bd1 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.