Triple
T13739540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Warren |
E330046
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Pixar person |
C15524
|
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: Pixar person Context triple: [Andrea Warren, instanceOf, Pixar person]
-
A.
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.
-
B.
Disney employee
chosen
A Disney employee is a staff member who helps create, maintain, and deliver the entertainment, hospitality, and brand experiences associated with The Walt Disney Company.
-
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.
Pixar song
A Pixar song is a musically rich, emotionally resonant piece crafted to enhance storytelling in Pixar films, often blending character perspective, narrative themes, and cinematic orchestration.
-
E.
Pixar short film
A Pixar short film is a brief, self-contained animated story created by Pixar that showcases inventive storytelling, distinctive characters, and cutting-edge animation techniques, often preceding their feature-length movies.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.