Triple
T27234446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowy |
E682236
|
entity |
| Predicate | voiceInAdaptation |
P77620
|
FINISHED |
| Object | various voice actors in animated series |
—
|
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: various voice actors in animated series | Statement: [Snowy, voiceInAdaptation, various voice actors in animated series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceInAdaptation Context triple: [Snowy, voiceInAdaptation, various voice actors in animated series]
-
A.
hasVocalAdaptation
Indicates that an entity possesses a specialized vocal feature or modification that alters or enhances its sound production or communication.
-
B.
voiceAppearance
chosen
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
C.
voiceTexture
Indicates the characteristic quality or timbre of a voice as perceived in sound.
-
D.
voiceConfiguration
Indicates a relationship where an entity has or is assigned a particular setup or set of parameters determining how its voice or vocal output is produced or presented.
-
E.
voiceActingChange
Indicates that the voice actor associated with an entity has been changed from one performer to another.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f626784b188190aaafe6e8123a12b9 |
completed | May 2, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 9:47 a.m.