Triple

T12178394
Position Surface form Disambiguated ID Type / Status
Subject Henry Cuellar E290151 entity
Predicate familyName P18 FINISHED
Object Cuellar E907263 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: Cuellar | Statement: [Henry Cuellar, familyName, Cuellar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuellar
Context triple: [Henry Cuellar, familyName, Cuellar]
  • A. Cuellar chosen
    Cuellar is a Spanish-origin surname borne by various notable individuals, including figures in sports, politics, and the arts.
  • B. Villacarrillo
    Villacarrillo is a town and municipality in the province of Jaén in Andalusia, southern Spain, known for its surrounding olive groves and agricultural economy.
  • C. Chiapa de Corzo
    Chiapa de Corzo is a historic colonial town in the Mexican state of Chiapas, known for its traditional festivals, Mudejar-style architecture, and role as a gateway to the Sumidero Canyon.
  • D. San José de Valderas
    San José de Valderas is a commuter rail station in the Madrid metropolitan area that serves passengers on the C-5 Cercanías line.
  • E. Parras de la Fuente
    Parras de la Fuente is a historic town in northern Mexico renowned as one of the country’s oldest wine-producing regions and a notable center of viticulture in Coahuila.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915fa6ff08190a1ddb3606c229cad completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6ab19288190a882c842d74a2e30 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.