Triple
T13950094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Katz |
E335498
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Pixar employee |
C34416
|
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 employee Context triple: [Jason Katz, instanceOf, Pixar employee]
-
A.
Disney employee
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.
-
B.
predecessor of Pixar
A predecessor of Pixar is an earlier animation studio, technology, or creative venture whose innovations, people, or practices directly contributed to Pixar’s formation and distinctive computer-animated filmmaking style.
-
C.
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.
-
D.
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.
-
E.
IBM employee
An IBM employee is an individual who works for International Business Machines Corporation, contributing their skills and expertise to develop, support, or manage the company’s technology products, services, and operations.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
Created at: April 9, 2026, 10:17 p.m.