Triple

T9610479
Position Surface form Disambiguated ID Type / Status
Subject J. B. Fuqua E232085 entity
Predicate familyName P18 FINISHED
Object Fuqua E325751 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: Fuqua | Statement: [J. B. Fuqua, familyName, Fuqua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuqua
Context triple: [J. B. Fuqua, familyName, Fuqua]
  • A. Fuqua chosen
    Fuqua is a surname of likely French origin borne by various notable individuals, including American politician Don Fuqua.
  • B. Hamilton Dukes
    Hamilton Dukes was a professional sports team based in Hamilton, Ontario, that played its home games at FirstOntario Centre.
  • C. McNair
    McNair is a Scottish-origin surname borne by various notable individuals, including American physicist and NASA astronaut Ronald McNair.
  • D. J. B. Fuqua
    J. B. Fuqua was an American businessman and philanthropist best known for his major contributions to education, including endowing Duke University's Fuqua School of Business.
  • E. Penn Nouth
    Penn Nouth was a prominent Cambodian politician who served multiple times as prime minister under Prince Norodom Sihanouk during the mid-20th century.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a85d4c881909ccab2e972d97e68 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179513f9081909bcd9a456c640ba3 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.