Triple
T30909459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Still Within the Sound of My Voice |
E787402
|
entity |
| Predicate | vocalArrangementType |
P37619
|
FINISHED |
| Object | male–female duet |
—
|
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: male–female duet | Statement: [Still Within the Sound of My Voice, vocalArrangementType, male–female duet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalArrangementType Context triple: [Still Within the Sound of My Voice, vocalArrangementType, male–female duet]
-
A.
vocalArrangement
chosen
Indicates the specific way vocal parts or voices are organized, structured, and combined within a musical work or performance.
-
B.
vocalArrangementComparedToOriginal
Indicates how the vocal arrangement in a given version differs from or relates to the vocal arrangement in the original version.
-
C.
musicalArrangement
Indicates that one entity is an arrangement or adaptation of another musical work.
-
D.
vocalHarmonyType
Indicates the specific kind or style of vocal harmony relationship that exists between the involved vocal parts or voices.
-
E.
vocalConfiguration
Indicates how an entity’s vocal or sound-producing characteristics are arranged or specified in relation to another entity or context.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 29, 2026, 8:50 p.m.