Triple

T3865785
Position Surface form Disambiguated ID Type / Status
Subject Pat Hanrahan E91847 entity
Predicate contributedTo P37 FINISHED
Object RenderMan rendering system E46404 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: RenderMan rendering system | Statement: [Pat Hanrahan, contributedTo, RenderMan rendering system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RenderMan rendering system
Context triple: [Pat Hanrahan, contributedTo, RenderMan rendering system]
  • A. RenderMan chosen
    RenderMan is a high-quality 3D rendering software and standard widely used in the film industry for producing photorealistic visual effects and animation.
  • B. RenderMan Interface Bytestream
    RenderMan Interface Bytestream is a low-level, stream-based representation of 3D scene data used by Pixar’s RenderMan system to communicate geometry, lighting, and shading information to the renderer.
  • C. NVIDIA OptiX
    NVIDIA OptiX is a GPU-accelerated, programmable ray tracing engine and API from NVIDIA used to build high-performance, photorealistic rendering and simulation applications.
  • D. Autodesk Maya
    Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
  • E. OpenUSD
    OpenUSD is an open-source framework and file format developed by Pixar for creating, composing, and exchanging complex 3D scenes across diverse digital content creation tools and pipelines.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3a253c81909df7dc0422ff7989 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5123e5e008190a89bb226a7de55ec completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.