Triple
T30872798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convolutional neural networks for music classification |
E786388
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | music information retrieval research |
C59097
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: music information retrieval research Context triple: [Convolutional neural networks for music classification, instanceOf, music information retrieval research]
-
A.
music research software
Music research software is a specialized digital toolset that supports the analysis, organization, visualization, and interpretation of musical data for scholarly and creative inquiry.
-
B.
selection of musical recordings
A selection of musical recordings is a curated collection of audio tracks chosen according to specific criteria such as genre, mood, artist, or purpose.
-
C.
musicological project
A musicological project is a structured scholarly endeavor that investigates music’s history, theory, context, or practice using systematic research methods and critical analysis.
-
D.
online music encyclopedia
An online music encyclopedia is a digital reference platform that organizes, documents, and provides searchable information about artists, albums, songs, genres, and related music history.
-
E.
music identifier standard
A music identifier standard is a formalized system for uniquely labeling and cataloging musical works, recordings, and related entities to enable consistent identification, tracking, and interoperability across platforms and databases.
- F. None of above. chosen
Provenance (1 batch)
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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:48 p.m.