Triple
T37107287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Hyman Plays Duke Ellington |
E918878
|
entity |
| Predicate | featuresSoloPiano |
P83294
|
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: [Dick Hyman Plays Duke Ellington, featuresSoloPiano, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSoloPiano Context triple: [Dick Hyman Plays Duke Ellington, featuresSoloPiano, true]
-
A.
hasPianoSolo
chosen
Indicates that something includes, features, or is characterized by a piano solo performance.
-
B.
featuresPercussionSolo
Indicates that the subject includes or contains a distinct percussion solo performance.
-
C.
pianoSong
Indicates that an entity is a song that is performed on, written for, or primarily associated with the piano.
-
D.
frequentSoloInstrument
Indicates that an instrument is commonly used as a solo instrument in performances or compositions.
-
E.
featuresElectricPiano
Indicates that something includes or makes use of an electric piano as a notable element or component.
- 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.