Triple

T19310338
Position Surface form Disambiguated ID Type / Status
Subject Harold Gregory Moore Sr. E482946 entity
Predicate residence P75 FINISHED
Object Auburn, Alabama, United States 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: Auburn, Alabama, United States | Statement: [Harold Gregory Moore Sr., residence, Auburn, Alabama, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn, Alabama, United States
Context triple: [Harold Gregory Moore Sr., residence, Auburn, Alabama, United States]
  • A. Auburn, Georgia
    Auburn, Georgia is a small city in Barrow and Gwinnett counties within the Atlanta metropolitan area.
  • B. Tuscaloosa, Alabama
    Tuscaloosa, Alabama is a city in western Alabama known as the home of the University of Alabama and a regional center for education, healthcare, and industry.
  • C. Auburn, Mississippi
    Auburn, Mississippi is an unincorporated community located in Lee County in northeastern Mississippi.
  • D. City of Auburn, Alabama chosen
    The City of Auburn, Alabama is a college town in eastern Alabama best known as the home of Auburn University and its vibrant academic and sports culture.
  • E. Auburn
    Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cd270c819094fd2faa0681d2ad completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.