Triple
T32163577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embarrassment |
E821495
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Inside Out character |
C27222
|
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: Inside Out character Context triple: [Embarrassment, instanceOf, Inside Out character]
-
A.
Pixar characters
chosen
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.
-
B.
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.
-
C.
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.
-
D.
character from Lilo & Stitch
A character from "Lilo & Stitch" is an individual—human, alien, or experiment—who inhabits the film’s quirky, heartfelt Hawaiian setting and contributes to its themes of family, belonging, and acceptance.
-
E.
Zootopia character
A Zootopia character is an anthropomorphic animal inhabitant of the diverse, modern metropolis of Zootopia, each with distinct species traits, personality, and role within the city’s social ecosystem.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:33 a.m.