Triple
T15074778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Royce |
E379969
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | J Balvin |
E39852
|
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: J Balvin | Statement: [Prince Royce, associatedAct, J Balvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J Balvin Context triple: [Prince Royce, associatedAct, 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 (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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cff69c8190b6252509c1aa7ebb |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.