Triple
T32363893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ***Flawless |
E826936
|
entity |
| Predicate | incorporatesTrapBeats |
P174388
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [***Flawless, incorporatesTrapBeats, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatesTrapBeats Context triple: [***Flawless, incorporatesTrapBeats, yes]
-
A.
hasElectronicBeat
chosen
Indicates that the associated music or audio features a rhythm or backing track produced using electronic instruments or digital sound processing.
-
B.
usesBeatFrom
Indicates that one entity employs or incorporates the rhythmic pattern, instrumental backing, or beat originally created for or associated with another entity.
-
C.
hasDrumLoop
Indicates that an entity includes, uses, or is associated with a repeating drum pattern or drum loop.
-
D.
hasDrumBreakSample
Indicates that one audio track or piece of music contains a sampled drum break taken from another recording.
-
E.
beatboxer
Indicates that an entity performs vocal percussion or imitates drum sounds using their mouth, lips, tongue, and voice.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:50 a.m.