Triple

T9741703
Position Surface form Disambiguated ID Type / Status
Subject Jobs (2013 film) E236199 entity
Predicate character P662 FINISHED
Object Edwin Catmull E46391 NE FINISHED

How this triple was built (2 steps)

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.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Edwin Catmull | Statement: [Jobs (2013 film), character, Edwin Catmull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edwin Catmull
Context triple: [Jobs (2013 film), character, Edwin Catmull]
  • A. Edwin Catmull chosen
    Edwin Catmull is a pioneering computer scientist and animation innovator who co-founded Pixar and played a key role in developing modern computer-generated imagery (CGI) for film.
  • B. John Knoll
    John Knoll is a visual effects supervisor and software developer best known as the co-creator of Adobe Photoshop and a longtime leader at Industrial Light & Magic.
  • C. Loren Carpenter
    Loren Carpenter is a pioneering computer graphics researcher and co-founder of Pixar who helped revolutionize CGI in film through innovations like fractal landscape rendering and the RenderMan system.
  • D. Jim Blinn
    Jim Blinn is a pioneering computer graphics researcher best known for developing influential rendering techniques such as Blinn–Phong shading and environment mapping.
  • E. Tony DeRose
    Tony DeRose is a computer scientist and former Pixar senior research scientist renowned for his pioneering work in computer graphics and geometric modeling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bccf62e08190ae799ee557ad1f1b completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:23 p.m.