Triple
T12183271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cookie Monster |
E290271
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Muppet character |
C31041
|
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: Muppet character Context triple: [Cookie Monster, instanceOf, Muppet 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.
animated television character
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.
-
C.
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.
-
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.
film studio mascot
A film studio mascot is a distinctive character or symbol used by a movie production company to personify its brand identity and appear in logos, opening sequences, and promotional materials.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:50 p.m.