Triple
T38593430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valkyrie |
E932505
|
entity |
| Predicate | audioCueType |
P191269
|
FINISHED |
| Object | Ultimate voice line |
—
|
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: Ultimate voice line | Statement: [Valkyrie, audioCueType, Ultimate voice line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioCueType Context triple: [Valkyrie, audioCueType, Ultimate voice line]
-
A.
soundMotif
Indicates a recurring or thematically significant sound pattern associated with an entity, event, or context.
-
B.
audioChannelType
Indicates the specific role or configuration of an audio channel within a multi-channel audio setup (e.g., left, right, center, surround).
-
C.
auditoryIconOf
Indicates that one entity is an auditory icon that sonically represents, symbolizes, or stands in for another entity or concept.
-
D.
soundboardType
Indicates the specific category or configuration of a soundboard associated with an entity.
-
E.
soundAccompaniment
Indicates that one entity’s occurrence, presence, or action is accompanied by a particular sound or set of sounds.
- F. None of above. chosen
Provenance (4 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_69f76ec654d48190b421111cf26e54d9 |
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. |
| PDg | Predicate description generation | batch_69fcdb0cf6008190b27046b694f84356 |
completed | May 7, 2026, 6:33 p.m. |
Created at: May 3, 2026, 4:32 p.m.