Triple

T22759901
Position Surface form Disambiguated ID Type / Status
Subject El Pescaílla E562956 entity
Predicate child P120 FINISHED
Object Antonio Flores 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: Antonio Flores | Statement: [El Pescaílla, child, Antonio Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Flores
Context triple: [El Pescaílla, child, Antonio Flores]
  • A. Antonio Flores chosen
    Antonio Flores was a Spanish singer-songwriter and actor known for his rock and pop music and for being part of the renowned Flores artistic family.
  • B. Antonio Morales
    Antonio Morales is a person known primarily for his involvement in the so-called "flower vase incident," a notable event that drew public attention.
  • C. Armando Riesco
    Armando Riesco is a Puerto Rican-American actor known for his work in film, television, and voice acting, including roles in projects like "Garden State," "National Treasure," and various video games.
  • D. Bernardo Flores Sisk
    Bernardo Flores Sisk was a U.S. Congressman from California who played a key role in Central Valley water projects and for whom the San Luis Dam was named.
  • E. Armando Silvestre
    Armando Silvestre is a Mexican actor known for his roles in numerous films and telenovelas, particularly during the mid-20th century.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7b4fe88190b1da25b78f046d13 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.