Triple

T6261750
Position Surface form Disambiguated ID Type / Status
Subject Gary Stevens (politician) E140315 entity
Predicate familyName P18 FINISHED
Object Stevens E26256 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: Stevens | Statement: [Gary Stevens (politician), familyName, Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stevens
Context triple: [Gary Stevens (politician), familyName, Stevens]
  • A. Stevens chosen
    Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
  • B. Brant
    Brant is a family name most notably associated with Isabella Brant, the first wife and frequent muse of the Flemish Baroque painter Peter Paul Rubens.
  • C. Hillegas
    Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
  • D. Rutledge
    Rutledge is a small town in eastern Tennessee that serves as the county seat of Grainger County within the Knoxville metropolitan area.
  • E. Rutledge
    Rutledge is a surname of English and Scottish origin borne by various notable individuals in politics, law, and other fields.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06386a7b48190b032edd12078c5bc completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5192b99d4819083ab6e6f2092547b completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:25 p.m.