Triple

T1881024
Position Surface form Disambiguated ID Type / Status
Subject J Balvin E39852 entity
Predicate associatedAct P37 FINISHED
Object Ozuna E40358 NE FINISHED

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: Ozuna | Statement: [J Balvin, associatedAct, Ozuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozuna
Context triple: [J Balvin, associatedAct, Ozuna]
  • A. Ozuna chosen
    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.
  • 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. Nicky Jam
    Nicky Jam is an American reggaeton singer and songwriter known for hits like "El Perdón" and "Travesuras" and for helping popularize Latin urban music worldwide.
  • D. Bad Bunny
    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.
  • E. Anuel AA
    Anuel AA is a Puerto Rican rapper and singer known as a pioneer of Latin trap and for his gritty lyrics, legal troubles, and high-profile collaborations in the Latin urban music scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fb95b48190af5286662c8b9734 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae4225081909ea0e59a5885cfc3 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:34 p.m.