Triple

T21408052
Position Surface form Disambiguated ID Type / Status
Subject George L. Hanbury II E528091 entity
Predicate name P16 FINISHED
Object George L. Hanbury II 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: George L. Hanbury II | Statement: [George L. Hanbury II, name, George L. Hanbury II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George L. Hanbury II
Context triple: [George L. Hanbury II, name, George L. Hanbury II]
  • A. George L. Hanbury II chosen
    George L. Hanbury II is an American academic administrator best known for leading Nova Southeastern University as its president.
  • B. Barnard Hughes
    Barnard Hughes was an American character actor known for his work in film, television, and theater, often playing kindly or eccentric older men.
  • C. George A. Hockham
    George A. Hockham was a British electrical engineer and physicist best known as a co-inventor of the optical fiber for telecommunications.
  • D. William G. Bramham
    William G. Bramham was a prominent early 20th-century baseball executive best known for his influential leadership in organizing and expanding the minor leagues in the United States.
  • E. John L. Lumley
    John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1b25fa48190a968f482beb8377a completed April 22, 2026, 11:32 a.m.
Created at: April 16, 2026, 5:32 p.m.