Triple

T20492921
Position Surface form Disambiguated ID Type / Status
Subject Catalina y Sebastián E502792 entity
Predicate executiveProducer P7225 FINISHED
Object Antulio Jiménez Pons 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: Antulio Jiménez Pons | Statement: [Catalina y Sebastián, executiveProducer, Antulio Jiménez Pons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antulio Jiménez Pons
Context triple: [Catalina y Sebastián, executiveProducer, Antulio Jiménez Pons]
  • A. Antulio Jiménez Pons chosen
    Antulio Jiménez Pons is a Mexican television director best known for his work on popular telenovelas.
  • B. Enrique Ávila
    Enrique Ávila is a Cuban artist best known for creating iconic large-scale facade artworks on prominent buildings in Havana.
  • C. Joaquín del Pino
    Joaquín del Pino was a Spanish colonial administrator who served as Viceroy of the Río de la Plata in the early 19th century.
  • D. Vicente Acero
    Vicente Acero was an 18th-century Spanish architect noted for his work on major religious buildings in Andalusia.
  • E. Enrique Cano
    Enrique Cano is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.