Triple

T23206626
Position Surface form Disambiguated ID Type / Status
Subject Rendon, Texas E580474 entity
Predicate abbreviation P43 FINISHED
Object Rendon E1234890 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: Rendon | Statement: [Rendon, Texas, abbreviation, Rendon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rendon
Context triple: [Rendon, Texas, abbreviation, Rendon]
  • A. Rendon chosen
    Rendon is a Spanish-origin surname most notably borne by American professional baseball player Anthony Rendon.
  • B. Calvillo
    Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
  • C. Gallegos
    Gallegos is a Spanish-language surname most notably associated with Venezuelan novelist and former president Rómulo Gallegos.
  • D. Ceballos
    Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
  • E. Nunez
    Nunez is the protagonist of H.G. Wells's short story "The Country of the Blind," a sighted mountaineer who discovers a secluded valley inhabited entirely by blind people and struggles with their radically different perception of reality.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907cd62c8190afee1e963b170727 completed April 29, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30c4df1481908bdab9ec52fdd9f6 completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:07 p.m.