Triple
T32117421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaffer Conservatory Studio Band |
E820274
|
entity |
| Predicate | hasNotableInstrumentSection |
P203056
|
FINISHED |
| Object | drum 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: drum section | Statement: [Shaffer Conservatory Studio Band, hasNotableInstrumentSection, drum section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableInstrumentSection Context triple: [Shaffer Conservatory Studio Band, hasNotableInstrumentSection, drum section]
-
A.
hasNotableInstrumentNamedAfter
Indicates that an entity has a notable musical instrument that is named after it.
-
B.
hasMainInstrumentalElements
Indicates that one entity includes or is characterized by the primary instrumental components or parts of another entity.
-
C.
hasExtendedInstrumentalSections
Indicates that a musical work contains notably long instrumental passages beyond typical song structure.
-
D.
containsInstrumentalTrack
Indicates that one entity includes or features an instrumental music track as part of its content.
-
E.
hasMajorInstrument
Indicates that an entity’s primary or main musical instrument is a specified instrument.
- 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0119132e848190820a688d139fbf75 |
completed | May 10, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_6a01188dfdec8190b7f675264a281733 |
completed | May 10, 2026, 11:45 p.m. |
| PDg | Predicate description generation | batch_6a0119127ca481909e921e7d95716b00 |
completed | May 10, 2026, 11:47 p.m. |
Created at: May 1, 2026, 12:28 a.m.