Triple
T38679365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Feets |
E943847
|
entity |
| Predicate | structuralRoleInMusical |
P24740
|
FINISHED |
| Object | early-act number |
—
|
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: early-act number | Statement: [Cold Feets, structuralRoleInMusical, early-act number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structuralRoleInMusical Context triple: [Cold Feets, structuralRoleInMusical, early-act number]
-
A.
musicalFunction
Indicates the specific role or function an entity plays within a musical context, such as its harmonic, structural, or performative purpose in a piece or performance.
-
B.
partOfMusical
Indicates that something is a component, segment, or element belonging to a larger musical work or performance.
-
C.
tonalRole
Indicates the functional role that a musical element (such as a note, chord, or key) plays within a tonal context or hierarchy.
-
D.
hasStructureRole
Indicates that an entity serves a specific functional or positional role within a larger structure or organizational arrangement.
-
E.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.