Triple
T8469598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Concerto No. 1 in D minor, Op. 15 |
E200246
|
entity |
| Predicate | workNumberInComposerCatalogue |
P32662
|
FINISHED |
| Object | first piano concerto by Brahms |
—
|
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: first piano concerto by Brahms | Statement: [Piano Concerto No. 1 in D minor, Op. 15, workNumberInComposerCatalogue, first piano concerto by Brahms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNumberInComposerCatalogue Context triple: [Piano Concerto No. 1 in D minor, Op. 15, workNumberInComposerCatalogue, first piano concerto by Brahms]
-
A.
workNumberInComposerOutput
chosen
Indicates that a specific work number appears in the output or catalog produced by a particular composer.
-
B.
partOfComposerOeuvre
Indicates that a musical work belongs to and is included within the overall body of compositions created by a particular composer.
-
C.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
D.
appearsInWorkNumber
Indicates that an entity is featured or occurs within a specific numbered work in a series or collection.
-
E.
workNumberInSet
Indicates that a particular work number belongs to, or is included within, a specified set of work numbers.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d5dd088190a79050417f527f14 |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.