Triple
T8484174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Brown |
E200792
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Peanuts character |
C24495
|
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: Peanuts character Context triple: [Charlie Brown, instanceOf, Peanuts character]
-
A.
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.
-
B.
cartoon mascot
A cartoon mascot is a stylized, often anthropomorphic character designed to visually represent and promote a brand, organization, or event in an engaging and memorable way.
-
C.
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.
-
D.
Nintendo character
A Nintendo character is a fictional persona created or licensed by Nintendo that appears in its video games, media, and related merchandise, often embodying distinctive abilities, personalities, and roles within their respective game worlds.
-
E.
Toy Story character
A Toy Story character is a sentient toy from the Toy Story universe whose personality, relationships, and adventures explore themes of friendship, loyalty, and identity in a world where toys come to life when humans aren’t watching.
- F. None of above. chosen
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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:12 p.m.