Triple
T9905734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BET Hip Hop Award for Best Club Banger |
E185006
|
entity |
| Predicate | musicContext |
P55644
|
FINISHED |
| Object | nightclubs |
—
|
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: nightclubs | Statement: [BET Hip Hop Award for Best Club Banger, musicContext, nightclubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicContext Context triple: [BET Hip Hop Award for Best Club Banger, musicContext, nightclubs]
-
A.
musicElement
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
-
B.
musicFocus
Indicates that the primary attention or emphasis is directed toward music or musical aspects.
-
C.
musicSource
chosen
Indicates that one entity serves as the origin or provider of music for another entity or context.
-
D.
musicalMode
Indicates the specific tonal framework or scale system (mode) in which a piece of music or musical passage is organized.
-
E.
musicUsed
Indicates that one entity makes use of or incorporates another entity as music, such as in a performance, production, or media context.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.