Triple

T21676947
Position Surface form Disambiguated ID Type / Status
Subject Henry Tazewell E534995 entity
Predicate familyName P18 FINISHED
Object Tazewell 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: Tazewell | Statement: [Henry Tazewell, familyName, Tazewell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tazewell
Context triple: [Henry Tazewell, familyName, Tazewell]
  • A. Tazewell chosen
    Tazewell is a surname most notably associated with American politician and statesman Littleton Waller Tazewell.
  • B. Tazewell County
    Tazewell County is a county in central Illinois known for its mix of small towns, agricultural areas, and proximity to the Peoria metropolitan region.
  • C. Menard County
    Menard County is a rural county in central Illinois known for its agricultural landscape and small communities, including the village of Tallula.
  • D. McDowell County
    McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
  • E. McDowell County
    McDowell County is a rural county in western North Carolina known for its mountainous terrain, outdoor recreation areas, and location along the Blue Ridge Mountains.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a105b888190820b894d16c1ab77 completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:42 p.m.