Triple

T21610309
Position Surface form Disambiguated ID Type / Status
Subject Veda Pierce E533287 entity
Predicate familyName P18 FINISHED
Object Pierce 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: Pierce | Statement: [Veda Pierce, familyName, Pierce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierce
Context triple: [Veda Pierce, familyName, Pierce]
  • A. Pierce
    Pierce is a small historic town in Clearwater County, Idaho, known as the site of the first gold discovery in the state.
  • B. Pierce chosen
    Pierce is a surname most prominently associated with Paul Pierce, the Hall of Fame former NBA star of the Boston Celtics.
  • C. Perry
    Perry is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • D. Perry
    Perry is a small city in central Georgia known as the county seat of Houston County and for hosting the Georgia National Fair at the Georgia National Fairgrounds and Agricenter.
  • E. Perry
    Perry is one of the two socially awkward teenage protagonists in the British comedy film "Kevin & Perry Go Large," known for his obsession with clubbing, DJ culture, and losing his virginity.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e7d1388190922a90cb91ec9fc4 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.