Triple

T21737929
Position Surface form Disambiguated ID Type / Status
Subject Landry Clarke E536574 entity
Predicate basedIn P40 FINISHED
Object Dillon, Texas 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: Dillon, Texas | Statement: [Landry Clarke, basedIn, Dillon, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dillon, Texas
Context triple: [Landry Clarke, basedIn, 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. Dunlap, Texas
    Dunlap, Texas is a small unincorporated rural community located in Cottle County in the U.S. state of Texas.
  • C. Dilley, Texas
    Dilley, Texas is a small city in South Texas known historically for agriculture and more recently for housing a large immigration detention facility.
  • D. Diboll, Texas
    Diboll, Texas is a small city in East Texas known historically as a lumber and timber industry community within Angelina County.
  • E. Driscoll, Texas
    Driscoll, Texas is a small rural city in South Texas located near Corpus Christi.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0d33dc81908a4a79abc33355d1 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:49 p.m.