Triple

T14823277
Position Surface form Disambiguated ID Type / Status
Subject Gordon Bethune E348508 entity
Predicate familyName P18 FINISHED
Object Bethune E31761 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: Bethune | Statement: [Gordon Bethune, familyName, Bethune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethune
Context triple: [Gordon Bethune, familyName, Bethune]
  • A. Bethune chosen
    Bethune is a surname most famously associated with Norman Bethune, a Canadian physician celebrated for his medical innovations and humanitarian work in wartime China.
  • B. Bethune College
    Bethune College is a historic women's college in Kolkata, India, recognized as one of the first institutions of higher education for women in Asia.
  • C. Bethune Residence
    Bethune Residence is a student housing facility located on York University’s Keele Campus in Toronto, Ontario.
  • D. Gladys Hill
    Gladys Hill was an American screenwriter best known for co-writing the acclaimed 1975 adventure film "The Man Who Would Be King," directed by John Huston.
  • E. Henrietta Hill
    Henrietta Hill is a relative of American astronomer Henrietta Hill Swope, likely a family member sharing her name.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389d7c848190813be06bed7813d7 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:51 a.m.