Triple
T12913558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet P |
E308920
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Adventure Time character |
C4048
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Adventure Time character Context triple: [Sweet P, instanceOf, Adventure Time character]
-
A.
animated television character
chosen
An animated television character is a fictional persona brought to life through drawn or computer-generated imagery, designed to act, speak, and evolve within the narrative of a TV series.
-
B.
animated character
An animated character is a fictional persona brought to life through drawn, computer-generated, or stop-motion imagery, exhibiting movement, expression, and personality within animated media.
-
C.
Zootopia character
A Zootopia character is an anthropomorphic animal inhabitant of the diverse, modern metropolis of Zootopia, each with distinct species traits, personality, and role within the city’s social ecosystem.
-
D.
anime character
An anime character is a stylized, often exaggerated fictional persona originating from Japanese animation, defined by distinctive visual design, expressive emotions, and participation in narrative-driven stories.
-
E.
Family Guy character
A Family Guy character is a fictional person or anthropomorphic being from the animated television series "Family Guy," defined by exaggerated traits, comedic behavior, and relationships within the show's satirical depiction of American family and society.
- F. None of above.
Provenance (1 batch)
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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
Created at: April 9, 2026, 5:41 p.m.