Triple

T11438985
Position Surface form Disambiguated ID Type / Status
Subject Barry Corbin E271088 entity
Predicate characterIn P12208 FINISHED
Object Dallas E669438 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: Dallas | Statement: [Barry Corbin, characterIn, Dallas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas
Context triple: [Barry Corbin, characterIn, Dallas]
  • A. Dallas
    Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
  • B. Dallas
    Dallas is the early series of United States Supreme Court case reports compiled by Alexander J. Dallas, covering decisions from the late 18th century before the official U.S. Reports numbering began.
  • C. Dallas chosen
    Dallas is a major city in northern Texas known for its role as a commercial and cultural hub, with a diverse economy, prominent arts scene, and significant historical landmarks.
  • D. Dallas
    Dallas is a popular American comic strip created by cartoonist Jim Davis.
  • E. Dallas
    Dallas is a major city in north Texas known for its role as a commercial and cultural hub, with a rich history in railroads, oil, and telecommunications.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69f12fcc1f2481908423370681dc869e completed April 28, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:35 p.m.