Triple
T36650534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar: The Ultimate Collection Vol. 3 |
E904840
|
entity |
| Predicate | containsPopularTracks |
P200483
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Don Omar: The Ultimate Collection Vol. 3, containsPopularTracks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPopularTracks Context triple: [Don Omar: The Ultimate Collection Vol. 3, containsPopularTracks, true]
-
A.
hasPopularMusic
chosen
Indicates that an entity is associated with or features music that is widely liked, well-known, or commercially successful.
-
B.
isPopularRecordingOf
Indicates that one entity is a widely known or frequently enjoyed version or performance of another work, such as a song or composition.
-
C.
hasFanFavoriteTrack
Indicates that an entity is associated with a track that is especially popular or favored by fans.
-
D.
isPopularEDMTrack
Indicates that a track is widely liked, frequently played, or well-known within the electronic dance music (EDM) scene.
-
E.
isPopularMusic
Indicates that the subject is a type of music that enjoys widespread appeal or mainstream popularity among listeners.
- 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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a013d7180d08190b76f64cb430af9e1 |
completed | May 11, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_6a013c77d23c8190bb59e458b506d6e9 |
completed | May 11, 2026, 2:18 a.m. |
Created at: May 3, 2026, 4:11 p.m.