Triple
T18504998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Work It Out" (Beyoncé) music video |
E452175
|
entity |
| Predicate | musicGenreOfSong |
P30697
|
FINISHED |
| Object | 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: R&B | Statement: ["Work It Out" (Beyoncé) music video, musicGenreOfSong, R&B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreOfSong Context triple: ["Work It Out" (Beyoncé) music video, musicGenreOfSong, R&B]
-
A.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
B.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
C.
musicBrainzGenre
Indicates that one entity is associated with a musical genre classification as defined in the MusicBrainz database.
-
D.
songType
chosen
Indicates the specific category or genre that a given song belongs to.
-
E.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341063c81908361b0eb78794145 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.