Triple
T10569567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar |
E249441
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Te Quiero Pa' Mi (English Version) |
E871948
|
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: Te Quiero Pa' Mi (English Version) | Statement: [Don Omar, notableWork, Te Quiero Pa' Mi (English Version)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Te Quiero Pa' Mi (English Version) Context triple: [Don Omar, notableWork, Te Quiero Pa' Mi (English Version)]
-
A.
Te Quiero Pa' Mi
chosen
"Te Quiero Pa' Mi" is a reggaeton song by Puerto Rican artist Don Omar, recognized as one of his popular Latin urban hits.
-
B.
Dile Que Tú Me Quieres
"Dile Que Tú Me Quieres" is a popular reggaeton song by Puerto Rican artist Ozuna that helped propel his rise in the Latin urban music scene.
-
C.
Si No Te Quiere
"Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
-
D.
Te Amo
"Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
-
E.
Que Te Vaya Mal
"Que Te Vaya Mal" is a Latin pop song by Puerto Rican singer-songwriter Kany García, known for its emotionally charged lyrics and melodic storytelling.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52730fd4481908b3f4eb80ca209f2 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b5025b88190a078f5ad7b9cb3d5 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:37 p.m.