Triple
T12988056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prelude in G minor, BWV 861 |
E321819
|
entity |
| Predicate | isEducationalRepertoire |
P107916
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Prelude in G minor, BWV 861, isEducationalRepertoire, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEducationalRepertoire Context triple: [Prelude in G minor, BWV 861, isEducationalRepertoire, yes]
-
A.
repertoireIncludes
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
-
B.
teachesInstrument
Indicates that one entity provides instruction or lessons to another entity on how to play a musical instrument.
-
C.
includedInStandardRepertoire
Indicates that something is part of the commonly accepted or regularly used set within a particular standard repertoire.
-
D.
hasEducationalMaterial
Indicates that an entity provides, contains, or is associated with educational content or learning resources for another entity.
-
E.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97f1badac8190a59e60751f47b8d6 |
completed | April 10, 2026, 10:52 p.m. |
Created at: April 9, 2026, 8:41 p.m.