Triple
T15354858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald McDonald |
E367145
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | McDonaldland 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: McDonaldland character Context triple: [Ronald McDonald, instanceOf, McDonaldland 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.
Despicable Me character
A Despicable Me character is a whimsical, often exaggerated individual from the Despicable Me universe whose personality, appearance, and actions contribute to the franchise’s blend of comedy, heart, and mischief.
-
C.
theme park character
A theme park character is a costumed performer or mascot embodying a fictional or branded persona to entertain guests, enhance immersion, and represent the park’s stories or themes.
-
D.
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.
-
E.
Big Hero 6 character
A Big Hero 6 character is an individual—human, robot, or otherwise—who inhabits the futuristic city of San Fransokyo and contributes to the story’s blend of superhero action, emotional growth, and technological innovation.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 3:18 a.m.