Triple

T17466978
Position Surface form Disambiguated ID Type / Status
Subject Miguel Bosé E425301 entity
Predicate name P16 FINISHED
Object Miguel Bosé 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: Miguel Bosé | Statement: [Miguel Bosé, name, Miguel Bosé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Bosé
Context triple: [Miguel Bosé, name, Miguel Bosé]
  • A. Miguel Bosé chosen
    Miguel Bosé is a Spanish pop singer and actor known for his decades-long music career across the Spanish-speaking world and hits like "Amante Bandido."
  • B. Sergio Pablos
    Sergio Pablos is a Spanish animator, director, and screenwriter best known for creating the original concept and characters for the Despicable Me franchise and directing the animated film Klaus.
  • C. Alejandro Sanz
    Alejandro Sanz is a Spanish singer-songwriter and musician renowned for his romantic ballads and multiple Grammy and Latin Grammy Awards.
  • D. David Bisbal
    David Bisbal is a Spanish pop singer and former "Operación Triunfo" contestant known for his powerful voice and successful Latin music career.
  • E. José José
    José José was a celebrated Mexican singer and actor, widely known as "El Príncipe de la Canción" for his powerful romantic ballads and influential Latin pop career.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a8f4908190a67a3a82a1c8f011 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.