Triple

T4584094
Position Surface form Disambiguated ID Type / Status
Subject Macon Dead Jr. E101925 entity
Predicate givenName P17 FINISHED
Object Macon E251959 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: Macon | Statement: [Macon Dead Jr., givenName, Macon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macon
Context triple: [Macon Dead Jr., givenName, Macon]
  • A. Macon chosen
    Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
  • B. Macon
    Macon is a small town located in Warren County, North Carolina, known for its rural character and proximity to Lake Gaston.
  • C. Macon metropolitan area
    The Macon metropolitan area is a regional urban and economic hub in central Georgia centered on the city of Macon and its surrounding communities.
  • D. Dawsonville
    Dawsonville is a small city in north Georgia known for its gold rush history and strong ties to stock car racing and NASCAR culture.
  • E. Milledgeville, Georgia
    Milledgeville, Georgia is a historic city in central Georgia that served as the state’s capital during much of the 19th century and is known for its antebellum architecture and Southern heritage.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd590411dc81909c55d1c42a4d44ef completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa2bfb1081909253a7d7519efc3e completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:10 p.m.