Triple

T22948744
Position Surface form Disambiguated ID Type / Status
Subject Show Me Love E569946 entity
Predicate featuresInMusicVideo P3289 FINISHED
Object 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: Miguel | Statement: [Show Me Love, featuresInMusicVideo, Miguel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel
Context triple: [Show Me Love, featuresInMusicVideo, Miguel]
  • A. Miguel chosen
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • B. Miguel
    Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
  • C. Maixabel
    Maixabel is a Spanish drama film that portrays the true story of Maixabel Lasa, a woman who confronts the ETA terrorists who murdered her husband, exploring themes of grief, forgiveness, and reconciliation.
  • D. Niño
    Niño is a Spanish surname commonly borne by individuals and families in Spanish-speaking countries.
  • E. Rodrigo
    Rodrigo is a masculine given name of Spanish and Portuguese origin, derived from the Germanic name Roderick and commonly used across the Spanish-speaking world.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819fbf8c8190ad80c93f1507aa73 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.