Triple

T535024
Position Surface form Disambiguated ID Type / Status
Subject Richard Russell Jr. E12306 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 Jr., residence, Winder, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winder, Georgia
Context triple: [Richard Russell Jr., 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. Newnan, Georgia
    Newnan, Georgia is a historic city in west-central Georgia, known for its well-preserved antebellum architecture and role as a regional economic and cultural center.
  • C. Woolsey, Georgia
    Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
  • D. Woodbury, Georgia
    Woodbury, Georgia is a small city in Meriwether County known for its rural character and historic railroad and agricultural roots in west-central Georgia.
  • E. Dahlonega, Georgia
    Dahlonega, Georgia is a historic North Georgia mountain town best known as the site of one of the first major U.S. gold rushes and now a popular tourist destination with a preserved 19th-century downtown.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496d904408190a2ed16c839017623 completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bb88f88190b1de92ca77606d2f completed March 2, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:32 p.m.