Triple
T38599740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finale of Act II |
E934174
|
entity |
| Predicate | tonalFunction |
P149748
|
FINISHED |
| Object | concluding section of Act II |
—
|
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: concluding section of Act II | Statement: [Finale of Act II, tonalFunction, concluding section of Act II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tonalFunction Context triple: [Finale of Act II, tonalFunction, concluding section of Act II]
-
A.
tonalFunctionInSeries
Indicates a tonal or harmonic role that an element plays within a larger ordered musical sequence or progression.
-
B.
tonalRole
chosen
Indicates the functional role that a musical element (such as a note, chord, or key) plays within a tonal context or hierarchy.
-
C.
tonalCharacteristic
Indicates the specific quality or character of a sound’s tone, such as its color, texture, or expressive nuance, in relation to an entity.
-
D.
tonalAssociation
Indicates a relationship where one entity is linked to another through a shared or corresponding tonal quality, pitch, or key.
-
E.
tonalFeatures
Indicates that one entity specifies or characterizes the tonal properties or qualities associated with another 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.