Triple
T38545349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel (mute version) |
E924948
|
entity |
| Predicate | originalVoiceActress |
—
|
GENERATED |
| Object | Jodi Benson |
—
|
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: originalVoiceActress Context triple: [Ariel (mute version), originalVoiceActress, Jodi Benson]
-
A.
voiceActorFemale
chosen
Indicates that the subject is a female voice actor who provides the voice for the specified character or role.
-
B.
previouslyVoicedBy
Indicates that one entity served as the voice actor for another entity at some earlier time, but no longer does so in the current context.
-
C.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
-
D.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
E.
motherVoiceActor
Indicates that one entity is the voice actor who portrays the mother of another entity (such as a character) in an audio or audiovisual work.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.