Triple
T5528209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Score for "Dark Victory" |
E144977
|
entity |
| Predicate | musicFunction |
P26917
|
FINISHED |
| Object | underscoring character emotions |
—
|
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: underscoring character emotions | Statement: [Score for "Dark Victory", musicFunction, underscoring character emotions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicFunction Context triple: [Score for "Dark Victory", musicFunction, underscoring character emotions]
-
A.
musicFocus
Indicates that the primary attention or emphasis is directed toward music or musical aspects.
-
B.
songFunction
chosen
Indicates the role or purpose a song serves within a larger context, such as a performance, narrative, or musical structure.
-
C.
musicActivity
Indicates involvement in an activity related to creating, performing, practicing, or engaging with music.
-
D.
musicalMode
Indicates the specific tonal framework or scale system (mode) in which a piece of music or musical passage is organized.
-
E.
musicElement
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8b6c348190b7d414dc1907d09a |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.