Triple
T29964702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Como un Bebé |
E761148
|
entity |
| Predicate | hasCollaborativeArtists |
P110830
|
FINISHED |
| Object | J Balvin and Bad Bunny |
—
|
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 and Bad Bunny | Statement: [Como un Bebé, hasCollaborativeArtists, J Balvin and Bad Bunny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollaborativeArtists Context triple: [Como un Bebé, hasCollaborativeArtists, J Balvin and Bad Bunny]
-
A.
hasAdditionalArtists
Indicates that an entity is associated with one or more extra contributing artists beyond the primary or main artist.
-
B.
hasArtistSiblingCollaboration
Indicates that two artist siblings have worked together on a shared artistic project or collaboration.
-
C.
musicalCollaborator
chosen
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
D.
featuresVocalCollaborations
Indicates that the work includes vocal performances by multiple distinct artists collaborating together.
-
E.
playedArtists
Indicates that one entity (such as a playlist, radio station, or event) has played or featured the artists represented by the other entity.
- F. None of above.
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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a00bf5990e08190a8b633e237656564 |
completed | May 10, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_6a00beef4f5881909b00ac89e6af5902 |
completed | May 10, 2026, 5:22 p.m. |
Created at: April 29, 2026, 6:29 p.m.