Triple
T7644692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goofy |
E173090
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Bill Farmer |
E215677
|
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: Bill Farmer | Statement: [Goofy, voiceActor, Bill Farmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Farmer Context triple: [Goofy, voiceActor, Bill Farmer]
-
A.
Bill Farmer
chosen
Bill Farmer is an American voice actor best known for voicing Disney characters such as Goofy and Pluto.
-
B.
Fred Gwynne
Fred Gwynne was an American actor and illustrator best known for his comedic television roles, particularly as Herman Munster on the 1960s sitcom "The Munsters."
-
C.
Jim Backus
Jim Backus was an American actor and voice artist best known for voicing the cartoon character Mr. Magoo and portraying Thurston Howell III on the television series "Gilligan's Island."
-
D.
Jonathan Winters
Jonathan Winters was an influential American comedian and actor renowned for his improvisational genius, character work, and pioneering impact on modern stand-up and sketch comedy.
-
E.
Harvey Korman
Harvey Korman was an American comedic actor best known for his work on *The Carol Burnett Show* and in Mel Brooks films such as *Blazing Saddles* and *History of the World, Part I*.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a21878508190822ff6f4681bc63d |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 3:58 p.m.