Triple
T22535272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleed It Out |
E557135
|
entity |
| Predicate | hasDrivingBeat |
P148567
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bleed It Out, hasDrivingBeat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDrivingBeat Context triple: [Bleed It Out, hasDrivingBeat, true]
-
A.
hasBeat
Indicates that one entity has defeated or surpassed another in a competitive or comparative context.
-
B.
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.
-
C.
hasDrumIntro
Indicates that a musical piece begins with an introductory section primarily featuring drums.
-
D.
hasBPMApprox
Indicates an approximate beats-per-minute (BPM) value associated with an entity, rather than an exact measured tempo.
-
E.
hasDrumProgrammingBy
Indicates that the drum programming for a work (such as a song or track) is created or performed by a specified entity.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15edad0248190b990ddffbc786e05 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:51 p.m.