Triple
T28499160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Melody |
E721187
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Sanrio character |
C54144
|
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: Sanrio character Context triple: [My Melody, instanceOf, Sanrio character]
-
A.
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.
-
B.
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.
-
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.
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.
-
E.
Pixar characters
Pixar characters are imaginative, emotionally rich animated figures—often humans, animals, or anthropomorphic objects—designed to embody relatable personalities and drive the heartfelt, story-centered narratives of Pixar films.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 28, 2026, 3:05 a.m.