Triple
T9347843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozuna |
E224937
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Se Preparó |
E200806
|
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: Se Preparó | Statement: [Ozuna, notableSong, Se Preparó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Se Preparó Context triple: [Ozuna, notableSong, Se Preparó]
-
A.
Se Preparó
chosen
"Se Preparó" is a popular reggaeton song by Puerto Rican singer Ozuna that helped solidify his rise in Latin urban music.
-
B.
Te Quedó Grande
Te Quedó Grande is a Spanish-language song commonly abbreviated as "TQG."
-
C.
La Riposa
La Riposa is a mountain refuge and common base for hikers ascending Rocciamelone in the Italian Alps.
-
D.
Before and After
"Before and After" is a 1996 American drama film, based on Rosellen Brown’s novel, about a family’s turmoil after their teenage son is accused of murder.
-
E.
Qué Pretendes
"Qué Pretendes" is a reggaeton track by Colombian artist J Balvin, known for its catchy rhythm and its role in solidifying his global Latin urban music presence.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f107f0081908938f4b814eca5fc |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e432106c81908ae080f37bc80f3f |
completed | April 4, 2026, 10:13 a.m. |
Created at: March 30, 2026, 7:41 p.m.