Triple
T20434913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turn Up the Quiet |
E501225
|
entity |
| Predicate | hasPianoStyle |
P140124
|
FINISHED |
| Object | lyrical |
—
|
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: lyrical | Statement: [Turn Up the Quiet, hasPianoStyle, lyrical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPianoStyle Context triple: [Turn Up the Quiet, hasPianoStyle, lyrical]
-
A.
isPianoDriven
Indicates that something is primarily led, dominated, or characterized by the piano in its musical arrangement or performance.
-
B.
hasPianoArrangement
Indicates that one entity has a version or adaptation of it arranged specifically for piano.
-
C.
hasPianist
Indicates that an entity is associated with or features a pianist, typically specifying who performs the piano part in a work, event, or group.
-
D.
hasGuitarStyle
Indicates that an entity is associated with, characterized by, or performs using a particular style of guitar playing.
-
E.
hasPianoIntroBy
Indicates that something (typically a musical work) features an introductory section played on piano that is performed or created by a specified agent.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:31 a.m.