Triple

T17466980
Position Surface form Disambiguated ID Type / Status
Subject Miguel Bosé E425301 entity
Predicate givenName P17 FINISHED
Object Luis Miguel 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: Luis Miguel | Statement: [Miguel Bosé, givenName, Luis Miguel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis Miguel
Context triple: [Miguel Bosé, givenName, Luis Miguel]
  • A. Luis Miguel chosen
    Luis Miguel is a Mexican singer widely regarded as one of the most successful and influential Latin music artists of all time.
  • B. Luis Miguel Valenzuela
    Luis Miguel Valenzuela is a notable individual who carries the Valenzuela surname, though specific widely known public details about his life or achievements are not clearly documented.
  • 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. Enrique Iglesias
    Enrique Iglesias is a Spanish-born pop singer and songwriter known for his international hits in both English and Spanish, often dubbed the "King of Latin Pop."
  • E. Cristian Castro
    Cristian Castro is a Mexican pop singer known for his powerful vocals and numerous Latin American hits since the early 1990s.
  • 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.