Triple

T10856145
Position Surface form Disambiguated ID Type / Status
Subject Bill Gillespie E256273 entity
Predicate familyName P18 FINISHED
Object Gillespie E422651 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: Gillespie | Statement: [Bill Gillespie, familyName, Gillespie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gillespie
Context triple: [Bill Gillespie, familyName, Gillespie]
  • A. Gillespie chosen
    Gillespie is a Scottish-origin surname most famously associated with American jazz trumpeter and composer Dizzy Gillespie.
  • B. Gillies
    Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
  • C. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • D. Gillett
    Gillett is an English-language surname borne by various notable individuals across politics, sports, and the arts.
  • E. Mathieson
    Mathieson is a surname of Scottish origin, typically regarded as a variant of Matheson and derived from a patronymic meaning “son of Matthew.”
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7513695ac8190b5812e977a422c37 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb197808c8190b1c80aeb2144a909 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.