Triple

T20525581
Position Surface form Disambiguated ID Type / Status
Subject Francisco Rabal E503925 entity
Predicate birthName P65 FINISHED
Object Francisco Rabal Valera 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: Francisco Rabal Valera | Statement: [Francisco Rabal, birthName, Francisco Rabal Valera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco Rabal Valera
Context triple: [Francisco Rabal, birthName, Francisco Rabal Valera]
  • A. Francisco Rabal chosen
    Francisco Rabal was a renowned Spanish actor known for his powerful performances in European cinema, particularly in the mid-20th century.
  • B. Franco Davín
    Franco Davín is an Argentine former professional tennis player and renowned coach who has worked with several top ATP players.
  • C. Pepe Romero
    Pepe Romero is a renowned Spanish classical guitarist celebrated for his virtuosic technique and interpretations of the Spanish guitar repertoire.
  • D. Vicente Rojo Almazán
    Vicente Rojo Almazán was a Spanish-born Mexican painter, sculptor, and graphic designer known as a leading figure of Mexico’s abstract art movement in the 20th century.
  • E. Fernando Rojo
    Fernando Rojo is a software engineer and open-source developer best known for his work in the React Native ecosystem, including libraries like Solito and contributions to cross-platform app development.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06504b48190b3f1defdc23a47d5 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.