Triple
T32647053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Weaselton |
E834622
|
entity |
| Predicate | voicedByAlsoKnownFor |
P180080
|
FINISHED |
| Object | Alan Tudyk, who voiced Duke of Weselton in Frozen |
—
|
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: Alan Tudyk, who voiced Duke of Weselton in Frozen | Statement: [Duke Weaselton, voicedByAlsoKnownFor, Alan Tudyk, who voiced Duke of Weselton in Frozen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voicedByAlsoKnownFor Context triple: [Duke Weaselton, voicedByAlsoKnownFor, Alan Tudyk, who voiced Duke of Weselton in Frozen]
-
A.
leadActorAlsoVoices
Indicates that the lead actor in a production also provides the voice for a character, typically in an animated or voice-over role.
-
B.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
C.
portrayedByAlsoKnownFor
Indicates that an entity is portrayed by a person who is also notably known for another specific role or work.
-
D.
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.
-
E.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: May 1, 2026, 1:07 a.m.