Triple
T15717825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slide (song) |
E381004
|
entity |
| Predicate | isPartOfGenreScene |
P22737
|
FINISHED |
| Object | contemporary 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: contemporary R&B | Statement: [Slide (song), isPartOfGenreScene, contemporary R&B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfGenreScene Context triple: [Slide (song), isPartOfGenreScene, contemporary R&B]
-
A.
associatedWithGenreScene
chosen
Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
-
B.
hasRomanticSceneAt
Indicates that a romantic scene occurs at a specific location or point in time within a work or context.
-
C.
filmSceneType
Indicates the type or category of a scene within a film, such as its narrative function, style, or setting.
-
D.
isPartOfGenreMovement
Indicates that an entity belongs to, or is associated with, a particular artistic or cultural genre movement.
-
E.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f932a248190b65ecfb2bc56e715 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.