Triple

T7068053
Position Surface form Disambiguated ID Type / Status
Subject AIA New York Chapter Medal of Honor E164611 entity
Predicate hasRecipient P108 FINISHED
Object Hugh Hardy E458366 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: Hugh Hardy | Statement: [AIA New York Chapter Medal of Honor, hasRecipient, Hugh Hardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Hardy
Context triple: [AIA New York Chapter Medal of Honor, hasRecipient, Hugh Hardy]
  • A. Hugh Hardy chosen
    Hugh Hardy was a prominent American architect best known for his innovative designs and restorations of cultural and performing arts venues.
  • B. Phil Hardy
    Phil Hardy was a British music industry journalist and author best known for his influential reference works on rock, pop, and film music.
  • C. Will Hardy
    Will Hardy is an American professional basketball coach who serves as the head coach of the NBA's Utah Jazz.
  • D. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • E. Callum Turner
    Callum Turner is a British actor and model known for roles in films such as "Green Room," the "Fantastic Beasts" series, and various acclaimed television dramas.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a935488190a8c9c21bf30dd5d4 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7944fe5ec819098ff44e2872fc644 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:39 p.m.