Triple

T7451921
Position Surface form Disambiguated ID Type / Status
Subject Tommy Tuberville E172026 entity
Predicate workLocation P7 FINISHED
Object Auburn, Alabama E98092 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: Auburn, Alabama | Statement: [Tommy Tuberville, workLocation, Auburn, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn, Alabama
Context triple: [Tommy Tuberville, workLocation, Auburn, Alabama]
  • A. Auburn, Georgia
    Auburn, Georgia is a small city in Barrow and Gwinnett counties within the Atlanta metropolitan area.
  • B. Auburn chosen
    Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
  • C. Auburn
    Auburn is a suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
  • D. Auburn
    Auburn is a historic Gold Rush-era city in California’s Sierra Nevada foothills, known for its preserved Old Town and role in the state’s mining heritage.
  • E. Auburn
    Auburn is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38d6a8c8190af2e73c719da87a6 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827b9a6048190bd3e3594b9cff2b7 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:14 p.m.