Triple
T34139519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to the Topic (Freestyle) |
E875671
|
entity |
| Predicate | usesBeatType |
P179371
|
FINISHED |
| Object | repurposed beat |
—
|
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: repurposed beat | Statement: [Back to the Topic (Freestyle), usesBeatType, repurposed beat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBeatType Context triple: [Back to the Topic (Freestyle), usesBeatType, repurposed beat]
-
A.
usesBeatFrom
Indicates that one entity employs or incorporates the rhythmic pattern, instrumental backing, or beat originally created for or associated with another entity.
-
B.
hasDrivingBeat
Indicates that something (typically a piece of music) features a strong, steady, and rhythmically propulsive beat that drives its momentum.
-
C.
hasBeat
Indicates that one entity has defeated or surpassed another in a competitive or comparative context.
-
D.
hasElectronicBeat
Indicates that the associated music or audio features a rhythm or backing track produced using electronic instruments or digital sound processing.
-
E.
hasNotableBeat
Indicates that an entity (such as a journalist or reporter) is professionally assigned to cover a specific topic, area, or subject as their primary reporting focus.
- F. None of above. chosen
Provenance (4 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720cc1bfc8190a16118e3af8e9316 |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71fb0172c81908f23e95ff16b0dec |
completed | May 3, 2026, 10:13 a.m. |
Created at: May 1, 2026, 1:53 a.m.