Triple
T20164230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Wheezer |
E491787
|
entity |
| Predicate | voicedBy |
P2181
|
FINISHED |
| Object | Rob Paulsen |
—
|
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: Rob Paulsen | Statement: [Carl Wheezer, voicedBy, Rob Paulsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Paulsen Context triple: [Carl Wheezer, voicedBy, Rob Paulsen]
-
A.
Rob Paulsen
chosen
Rob Paulsen is an American voice actor best known for his prolific work in animation, including iconic roles such as Yakko Warner in Animaniacs and Pinky in Pinky and the Brain.
-
B.
Richard Schaal
Richard Schaal was an American character actor known for his work in television comedies such as "The Mary Tyler Moore Show" and "The Dick Van Dyke Show."
-
C.
Paul F. Tompkins
Paul F. Tompkins is an American comedian, actor, and writer known for his stand-up, podcast appearances, and character roles in television and film.
-
D.
Brian Fee
Brian Fee is an American storyboard artist and film director best known for making his directorial debut with Pixar's animated feature "Cars 3."
-
E.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684376408190a68890ab48fa5424 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.