Triple
T8153149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Wine |
E190377
|
entity |
| Predicate | hasAcousticStyle |
P45796
|
FINISHED |
| Object | stripped-down production |
—
|
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: stripped-down production | Statement: [Cherry Wine, hasAcousticStyle, stripped-down production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcousticStyle Context triple: [Cherry Wine, hasAcousticStyle, stripped-down production]
-
A.
hasAcousticVersionBy
Indicates that one entity is an acoustic version of another, created or performed by a specified agent.
-
B.
hasMusicalStyleCharacteristic
chosen
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
C.
hasSongStyle
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
-
D.
hasLyricalStyle
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
E.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d4494c8190aad2ee302e90670f |
completed | March 31, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.