Triple

T3187149
Position Surface form Disambiguated ID Type / Status
Subject Richard Russell Sr. E66724 entity
Predicate residence P75 FINISHED
Object Winder, Georgia E71784 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: Winder, Georgia | Statement: [Richard Russell Sr., residence, Winder, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winder, Georgia
Context triple: [Richard Russell Sr., residence, Winder, Georgia]
  • A. Winder, Georgia chosen
    Winder, Georgia is a small city in northeastern Georgia that serves as the county seat of Barrow County and is part of the Atlanta metropolitan area.
  • B. Winder
    Winder is a surname of English origin borne by various notable individuals, including military figures and public officials.
  • C. Villa Rica, Georgia
    Villa Rica, Georgia is a small historic city in the Atlanta metropolitan area known for being the site of one of the earliest major gold rushes in the United States.
  • D. Waco, Georgia
    Waco, Georgia is a small community in western Georgia known for its rural character and proximity to the Alabama state line.
  • E. Warner Robins, Georgia
    Warner Robins, Georgia is a mid-sized city in central Georgia best known for its close association with Robins Air Force Base and its strong military and aerospace presence.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e279288190843837751e852c9e completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b8285388190bc47264bd1028ab3 completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.