Triple
T31314706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathe (Taylor’s Version) |
E798559
|
entity |
| Predicate | hasUpdatedVocals |
P172549
|
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: [Breathe (Taylor’s Version), hasUpdatedVocals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpdatedVocals Context triple: [Breathe (Taylor’s Version), hasUpdatedVocals, true]
-
A.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
B.
hasNewVocalist
Indicates that an entity has acquired or is associated with a different or recently joined vocalist compared to before.
-
C.
hasBackwardVocals
Indicates that the subject uses or contains backward (reversed) vocal audio in relation to the object.
-
D.
hasHookVocalStyle
Indicates that an entity (typically a musical work or performance) features a distinctive, catchy vocal delivery or refrain intended to serve as a memorable hook.
-
E.
hasVocalProcessing
Indicates that an entity’s vocal audio has been altered or enhanced through some form of signal processing.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 29, 2026, 9:15 p.m.