Triple
T6196496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay McShann Orchestra |
E138520
|
entity |
| Predicate | hasInstrumentalSection |
P51473
|
FINISHED |
| Object | saxophone section |
—
|
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: saxophone section | Statement: [Jay McShann Orchestra, hasInstrumentalSection, saxophone section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstrumentalSection Context triple: [Jay McShann Orchestra, hasInstrumentalSection, saxophone section]
-
A.
isInstrumental
Indicates that one entity serves as the means, tool, or instrument by which another entity performs an action or achieves an outcome.
-
B.
hasOrchestralFeature
Indicates that something includes, exhibits, or is characterized by a notable orchestral element or component.
-
C.
hasRhythmSection
Indicates that an entity (such as a musical group or piece) includes or is associated with a rhythm section component.
-
D.
containsInterludes
Indicates that one entity (typically a work or composition) includes one or more interludes within its structure.
-
E.
hasOrchestraSection
chosen
Indicates that something includes or is associated with a particular section of an orchestra.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062508f5c8190a00291708a9a7de9 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.