Triple

T21811857
Position Surface form Disambiguated ID Type / Status
Subject Eulalia Ramón E538492 entity
Predicate hasWorkedWith P9615 FINISHED
Object Rafael Azcona 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: Rafael Azcona | Statement: [Eulalia Ramón, hasWorkedWith, Rafael Azcona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Azcona
Context triple: [Eulalia Ramón, hasWorkedWith, Rafael Azcona]
  • A. Rafael Azcona chosen
    Rafael Azcona was a renowned Spanish screenwriter and novelist, celebrated for his sharp social satire and collaborations with prominent directors such as Luis García Berlanga and Carlos Saura.
  • B. José Prieto
    José Prieto is a personal name shared by multiple individuals, typically of Spanish-speaking origin, whose specific notable bearer is not uniquely identifiable from this context.
  • C. Pérez Pavón
    Pérez Pavón is a Spanish-language family name of likely Iberian or Latin American origin.
  • D. Rodolfo Sánchez Taboada
    Rodolfo Sánchez Taboada was a Mexican politician and military figure who served as governor of Baja California and held prominent roles in the Institutional Revolutionary Party (PRI).
  • E. Porfirio Fisac
    Porfirio Fisac is a Spanish professional basketball coach known for leading several Liga ACB teams and for his reputation as a strong developer of talent and team identity.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.