Triple
T29528329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waltz in A minor, B. 150 |
E749127
|
entity |
| Predicate | BrownCatalogueNumber |
P84753
|
FINISHED |
| Object | B. 150 |
—
|
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: B. 150 | Statement: [Waltz in A minor, B. 150, BrownCatalogueNumber, B. 150]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrownCatalogueNumber Context triple: [Waltz in A minor, B. 150, BrownCatalogueNumber, B. 150]
-
A.
alternativeCatalogNumber
chosen
Indicates that an entity is associated with an additional or substitute catalog number different from its primary catalog identifier.
-
B.
recordLabelCatalogNumber
Indicates the catalog or identification number assigned to a release by a record label.
-
C.
catalogueRaisonneNumber
Indicates the identifier assigned to a work in a catalogue raisonné, linking it to its authoritative scholarly listing.
-
D.
hasBandNumber
Indicates that an entity is associated with a specific band identification number.
-
E.
bandCount
Indicates the number of bands or distinct grouped units associated with a given entity.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c9efdfc8190b2137dc6e1685baf |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 4:49 p.m.