Triple
T10235757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Dunham |
E243458
|
entity |
| Predicate | hasPuppetCharacter |
P92902
|
FINISHED |
| Object | Bubba J |
E851549
|
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: Bubba J | Statement: [Jeff Dunham, hasPuppetCharacter, Bubba J]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bubba J Context triple: [Jeff Dunham, hasPuppetCharacter, Bubba J]
-
A.
Bubba J
chosen
Bubba J is a fictional, beer-loving redneck puppet character created and performed by ventriloquist comedian Jeff Dunham, known for his dim-witted humor and love of NASCAR.
-
B.
BUBBA
BUBBA is a critically acclaimed electronic and hip-hop infused dance album by producer KAYTRANADA, known for its smooth grooves, rich collaborations, and innovative production.
-
C.
Bubba Paris
Bubba Paris is a former American football offensive tackle best known for his NFL career with the San Francisco 49ers, with whom he won multiple Super Bowls in the 1980s.
-
D.
Bubba Bexley
Bubba Bexley is a recurring comedic character and friend of Fred Sanford on the classic American sitcom "Sanford and Son."
-
E.
Bubba Blue
Bubba Blue is a character from the film "Forrest Gump," known as Forrest’s shrimp-obsessed army friend who dreams of starting a shrimping business.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfbfa26c8190b536655d33112ddf |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c9c6524819094d42e948c96207e |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:22 a.m.