Triple
T37300163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Vander Pyl |
E925917
|
entity |
| Predicate | notableVoiceStudio |
—
|
GENERATED |
| Object | Hanna-Barbera soundstages |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableVoiceStudio Context triple: [Jean Vander Pyl, notableVoiceStudio, Hanna-Barbera soundstages]
-
A.
notableStudio
chosen
Indicates that an entity is a studio (e.g., film, music, game, or animation studio) that is especially prominent, influential, or widely recognized in relation to the subject entity.
-
B.
notableVoiceActor
Indicates that one entity is a voice actor who is especially prominent or well-known for their work on the other entity.
-
C.
notableCharacterVoiced
Indicates that a notable character is voiced or performed by a specific voice actor or performer.
-
D.
voiceline
Indicates that one entity is an audio line or spoken phrase associated with another entity, such as a character, event, or situation.
-
E.
hasVoices
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
- F. None of above.
Provenance (1 batch)
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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.