Triple
T35977772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowbell the cat |
E1040469
|
entity |
| Predicate | voicedByInFilm |
P83203
|
FINISHED |
| Object | Nathan Lane in Stuart Little (1999) |
—
|
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: Nathan Lane in Stuart Little (1999) | Statement: [Snowbell the cat, voicedByInFilm, Nathan Lane in Stuart Little (1999)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voicedByInFilm Context triple: [Snowbell the cat, voicedByInFilm, Nathan Lane in Stuart Little (1999)]
-
A.
voicedByAlsoKnownFor
Indicates that the person who voices a character is also notably recognized for another specific role or work.
-
B.
voiceActorOfPerformer
Indicates that one performer provides the voice for a character or role portrayed by another performer.
-
C.
spokenBy
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
D.
hasVoiceActing
chosen
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
E.
voicedByInAnimeEnglishDub
Indicates that one entity serves as the English dub voice actor for another entity in an anime production.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:07 p.m.