Triple
T37611857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intermezzo, Op. 118 No. 1 |
E935803
|
entity |
| Predicate | languageOfScoreMarkings |
P201624
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Intermezzo, Op. 118 No. 1, languageOfScoreMarkings, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfScoreMarkings Context triple: [Intermezzo, Op. 118 No. 1, languageOfScoreMarkings, Italian]
-
A.
languageOfTempoMarkings
Indicates the language in which the tempo markings of a musical work or score are written.
-
B.
languageOfMarking
chosen
Indicates the language used for labels, annotations, or other markings associated with an entity.
-
C.
usesTextInScore
Indicates that one entity incorporates or references a specific text within its score or scoring process.
-
D.
languageOfMusicalTerms
Indicates the language in which specific musical terms are expressed or defined.
-
E.
languageOfSignatures
Indicates the language in which the signatures on a document or agreement are written or expressed.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01a18e350481909f848686568d19bc |
completed | May 11, 2026, 9:29 a.m. |
| PD | Predicate disambiguation | batch_6a01a121b67c81908a6c5be9eb8e9ca5 |
completed | May 11, 2026, 9:28 a.m. |
Created at: May 3, 2026, 4:18 p.m.