Triple
T14727810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy People/U Saved Me |
E345988
|
entity |
| Predicate | containsMusicGenreElement |
P57189
|
FINISHED |
| Object | dance-oriented R&B |
—
|
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: dance-oriented R&B | Statement: [Happy People/U Saved Me, containsMusicGenreElement, dance-oriented R&B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMusicGenreElement Context triple: [Happy People/U Saved Me, containsMusicGenreElement, dance-oriented R&B]
-
A.
containsGenreElement
chosen
Indicates that something includes or incorporates an element characteristic of a particular genre.
-
B.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
C.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
D.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
E.
hasMusicalEnsembleGenre
Indicates that a musical ensemble is associated with or performs in a particular musical genre.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.