Triple
T8485251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisin & Yandel |
E200816
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Wisin |
E843841
|
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: Wisin | Statement: [Wisin & Yandel, hasPart, Wisin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wisin Context triple: [Wisin & Yandel, hasPart, Wisin]
-
A.
Wisin
chosen
Wisin is a Puerto Rican reggaeton singer, rapper, and songwriter best known as one half of the influential duo Wisin & Yandel.
-
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.
Calle 10
Calle 10 is a street in Bogotá’s historic center that passes important government and colonial-era buildings, including the Palacio de San Carlos.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53b359c81908174addcd6e12785 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2ffaba9988190be59bf863c3b1f48 |
completed | April 6, 2026, 12:34 a.m. |
Created at: March 30, 2026, 6:12 p.m.