Triple

T17467029
Position Surface form Disambiguated ID Type / Status
Subject Miguel Bosé E425301 entity
Predicate notableCollaboration P8554 FINISHED
Object Alejandro Sanz 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: Alejandro Sanz | Statement: [Miguel Bosé, notableCollaboration, Alejandro Sanz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alejandro Sanz
Context triple: [Miguel Bosé, notableCollaboration, Alejandro Sanz]
  • A. Alejandro Sanz chosen
    Alejandro Sanz is a Spanish singer-songwriter and musician renowned for his romantic ballads and multiple Grammy and Latin Grammy Awards.
  • B. Carlos Sanz
    Carlos Sanz is a Spanish-American character actor known for his supporting roles in action and crime films and television series.
  • C. Alejandro Fernández
    Alejandro Fernández is a renowned Mexican singer celebrated for his powerful vocals and successful career spanning traditional ranchera and Latin pop music.
  • D. Cristian Castro
    Cristian Castro is a Mexican pop singer known for his powerful vocals and numerous Latin American hits since the early 1990s.
  • E. 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.
  • 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.