Triple

T19552930
Position Surface form Disambiguated ID Type / Status
Subject Invasion of Privacy E489235 entity
Predicate featuresArtist P1952 FINISHED
Object J Balvin 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: J Balvin | Statement: [Invasion of Privacy, featuresArtist, J Balvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J Balvin
Context triple: [Invasion of Privacy, featuresArtist, J Balvin]
  • A. J Balvin chosen
    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.
  • B. Wisin
    Wisin is a Puerto Rican reggaeton singer, rapper, and songwriter best known as one half of the influential duo Wisin & Yandel.
  • C. Sebastián Yatra
    Sebastián Yatra is a Colombian singer and songwriter known for his romantic Latin pop and reggaeton hits across the Spanish-speaking world.
  • 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. 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.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d315c68819087402802d624a8c9 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.