Triple
T3665608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Duck |
E77751
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Clarence Nash |
E339852
|
NE 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: Clarence Nash | Statement: [Donald Duck, voiceActor, Clarence Nash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarence Nash Context triple: [Donald Duck, voiceActor, Clarence Nash]
-
A.
Clarence Nash
chosen
Clarence Nash was an American voice actor best known as the original voice of Disney’s Donald Duck.
-
B.
Daws Butler
Daws Butler was a prominent American voice actor best known for bringing to life numerous classic Hanna-Barbera cartoon characters, including Yogi Bear, Huckleberry Hound, and many others.
-
C.
W. G. Snuffy Walden
W. G. Snuffy Walden is an American musician and television composer best known for creating memorable scores for acclaimed TV dramas such as The West Wing, thirtysomething, and The Wonder Years.
-
D.
Jim Varney
Jim Varney was an American actor and comedian best known for portraying the bumbling yet lovable character Ernest P. Worrell in a series of films and commercials.
-
E.
James Dooley
James Dooley is a composer best known for creating dramatic, cinematic music often used in film, television, and trailer scores.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc400352081908c16a6a7670eb52a |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4884bd50c8190a334e9aadc734364 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.