Triple
T12894734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | String Sextet in D major, Op. 10 |
E308461
|
entity |
| Predicate | workNumberInKorngoldOutput |
P32662
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [String Sextet in D major, Op. 10, workNumberInKorngoldOutput, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNumberInKorngoldOutput Context triple: [String Sextet in D major, Op. 10, workNumberInKorngoldOutput, 10]
-
A.
workNumberInGenre
Indicates the ordinal position or sequence number assigned to a particular work within a specific genre.
-
B.
workNumberInComposerOutput
chosen
Indicates that a specific work number appears in the output or catalog produced by a particular composer.
-
C.
workNumberInMozartOutput
Indicates the ordinal work number assigned to a composition within the catalog of Mozart’s works.
-
D.
workNumberWithinOratorio
Indicates that a specific work is identified by its numerical position within an oratorio.
-
E.
appearsInWorkNumber
Indicates that an entity is featured or occurs within a specific numbered work in a series or collection.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.