Triple
T36142225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grampus-kun |
E1045342
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Japanese mascot character |
C14220
|
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: Japanese mascot character Context triple: [Grampus-kun, instanceOf, Japanese mascot character]
-
A.
Sanrio character
A Sanrio character is a cute, stylized fictional persona created by the Sanrio company, typically designed with simple shapes, bright colors, and distinct personalities to be used across merchandise, media, and branding.
-
B.
cartoon mascot
chosen
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.
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.
-
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.
Peanuts character
A Peanuts character is a fictional person or animal from Charles M. Schulz’s comic strip "Peanuts," defined by a distinctive personality, simple visual design, and participation in the strip’s everyday, often philosophical, slice-of-life stories.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.