Triple

T13294797
Position Surface form Disambiguated ID Type / Status
Subject Vince Howard E316652 entity
Predicate setting P1957 FINISHED
Object Dillon, Texas E688324 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: Dillon, Texas | Statement: [Vince Howard, setting, Dillon, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dillon, Texas
Context triple: [Vince Howard, setting, Dillon, Texas]
  • A. Dillon, Texas chosen
    Dillon, Texas is the fictional small-town setting of the television series "Friday Night Lights," known for its intense high school football culture and close-knit community.
  • B. Diboll, Texas
    Diboll, Texas is a small city in East Texas known historically as a lumber and timber industry community within Angelina County.
  • C. Dale, Texas
    Dale, Texas is a small unincorporated rural community located in Caldwell County in central Texas.
  • D. Dickinson, Texas
    Dickinson, Texas is a small city in Galveston County located between Houston and Galveston along Interstate 45 on the Texas Gulf Coast.
  • E. Diana, Texas
    Diana, Texas is a small unincorporated community in northeastern Texas known for its rural character and location along U.S. Highway 259.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99079c8508190b6208db9affcbc0e completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266832a881909403c4d3cbe1edec completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:28 p.m.