Triple
T28856382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B-flat clarinet |
E728748
|
entity |
| Predicate | isMostCommonClarinetType |
P166894
|
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: [B-flat clarinet, isMostCommonClarinetType, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostCommonClarinetType Context triple: [B-flat clarinet, isMostCommonClarinetType, true]
-
A.
hasPrincipalClarinet
Indicates that an entity has another entity serving in the role of principal clarinet within its musical ensemble or organization.
-
B.
hasNotableClarinetist
Indicates that an entity is associated with or features a clarinetist who is recognized as notable or distinguished.
-
C.
hasClarinetVersion
Indicates that something has a corresponding version or arrangement specifically for clarinet.
-
D.
usesClef
Indicates that one entity employs or applies a particular clef in a musical notation context.
-
E.
columnHasFlutes
Indicates that a column possesses flutes, i.e., vertical grooves or channels along its surface.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 6:45 a.m.