Triple
T11753073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-flat major |
E279454
|
entity |
| Predicate | commonInstrumentRepertoire |
P3738
|
FINISHED |
| Object | piano |
—
|
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: piano | Statement: [A-flat major, commonInstrumentRepertoire, piano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonInstrumentRepertoire Context triple: [A-flat major, commonInstrumentRepertoire, piano]
-
A.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
B.
repertoireIncludes
chosen
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
C.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
D.
learnedInstrument
Indicates that an entity has acquired the skill or ability to play a particular musical instrument.
-
E.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.