Triple

T22166545
Position Surface form Disambiguated ID Type / Status
Subject Latin trap E547801 entity
Predicate hasNotableArtist P2487 FINISHED
Object Bad Bunny 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: Bad Bunny | Statement: [Latin trap, hasNotableArtist, Bad Bunny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Bunny
Context triple: [Latin trap, hasNotableArtist, Bad Bunny]
  • A. Bad Bunny chosen
    Bad Bunny is a Puerto Rican Latin trap and reggaeton artist known for his genre-blending music, distinctive style, and global influence in Spanish-language pop.
  • B. J Balvin
    J Balvin is a Colombian reggaeton singer and global Latin music star known for hits like "Mi Gente" and high-profile collaborations across pop and hip-hop.
  • C. Farruko
    Farruko is a Puerto Rican singer and songwriter known for his influential role in reggaeton and Latin trap music.
  • D. Ozuna
    Ozuna is a Puerto Rican reggaeton and Latin trap singer known for his melodic style and numerous chart-topping collaborations across Latin and global pop music.
  • E. Wisin
    Wisin is a Puerto Rican reggaeton singer, rapper, and songwriter best known as one half of the influential duo Wisin & Yandel.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a3213ec8190841439dbe470d545 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:34 p.m.