Triple
T2582834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yosemite Sam |
E57131
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Bugs Bunny |
E55364
|
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: Bugs Bunny | Statement: [Yosemite Sam, enemyOf, Bugs Bunny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bugs Bunny Context triple: [Yosemite Sam, enemyOf, Bugs Bunny]
-
A.
Bugs Bunny
chosen
Bugs Bunny is an iconic, wisecracking cartoon rabbit from the Looney Tunes series, famous for his catchphrase "What's up, Doc?" and his clever, mischievous antics.
-
B.
Daffy Duck
Daffy Duck is a classic Looney Tunes cartoon character known for his zany, self-centered antics and comedic rivalry with characters like Bugs Bunny.
-
C.
Daffy
Daffy is the colloquial nickname given to the British World War II Boulton Paul Defiant turret fighter aircraft.
-
D.
Elmer Fudd
Elmer Fudd is a classic Looney Tunes cartoon character best known as the bumbling, soft-spoken hunter perpetually chasing Bugs Bunny.
-
E.
Charlie Coyote
Charlie Coyote is the costumed athletic mascot representing the University of South Dakota’s sports teams.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c9d0548190b29743ac1d7837ff |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276b188248190b015eec2b83bc20b |
completed | March 12, 2026, 8:17 a.m. |
Created at: March 6, 2026, 9:49 p.m.