Triple
T23522441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Sing Your Blues Away |
E574543
|
entity |
| Predicate | has piano performer |
P85583
|
FINISHED |
| Object | Keith Godchaux |
—
|
NE NERFINISHED |
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: Keith Godchaux | Statement: [Let Me Sing Your Blues Away, has piano performer, Keith Godchaux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has piano performer Context triple: [Let Me Sing Your Blues Away, has piano performer, Keith Godchaux]
-
A.
hasPianist
chosen
Indicates that an entity is associated with or features a pianist, typically specifying who performs the piano part in a work, event, or group.
-
B.
firstPerformerPiano
Indicates that the referenced entity is the first (primary or earliest) performer on the piano in a given performance or musical context.
-
C.
hasPianoSolo
Indicates that something includes, features, or is characterized by a piano solo performance.
-
D.
providedPianoPerformancesFor
Indicates that one entity supplied or delivered piano performances for the benefit, use, or event of another entity.
-
E.
hasPianoAccompaniment
Indicates that something (such as a musical work or performance) is accompanied by a piano part.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac70b7888190b4abc4f78bdf539c |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:08 p.m.