Triple
T18147869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feel |
E434432
|
entity |
| Predicate | hasPianoDrivenArrangement |
P85375
|
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: [Feel, hasPianoDrivenArrangement, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPianoDrivenArrangement Context triple: [Feel, hasPianoDrivenArrangement, Yes]
-
A.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
B.
isPianoDriven
chosen
Indicates that something is primarily led, dominated, or characterized by the piano in its musical arrangement or performance.
-
C.
hasPianoAccompaniment
Indicates that something (such as a musical work or performance) is accompanied by a piano part.
-
D.
hasPianoIntroBy
Indicates that something (typically a musical work) features an introductory section played on piano that is performed or created by a specified agent.
-
E.
hasPianoSolo
Indicates that something includes, features, or is characterized by a piano solo performance.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de360ae88190abe1ed13243e9924 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.