Triple
T38117348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scarlet Pumpernickel |
E951826
|
entity |
| Predicate | starringVoiceActor |
P83203
|
FINISHED |
| Object | Mel Blanc |
—
|
NE NERFINISHED |
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: Mel Blanc | Statement: [The Scarlet Pumpernickel, starringVoiceActor, Mel Blanc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starringVoiceActor Context triple: [The Scarlet Pumpernickel, starringVoiceActor, Mel Blanc]
-
A.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
-
B.
voicedByAlsoKnownFor
Indicates that the person who voices a character is also notably recognized for another specific role or work.
-
C.
leadActorAlsoVoices
Indicates that the lead actor in a production also provides the voice for a character, typically in an animated or voice-over role.
-
D.
voiceActorInVideoGames
Indicates that one entity provides voice acting for a character or role in video games associated with another entity.
-
E.
hasVoiceActing
chosen
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.