Triple

T9298250
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA Studio E223693 entity
Predicate optimizedFor P98 FINISHED
Object Blender E209950 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: Blender | Statement: [NVIDIA Studio, optimizedFor, Blender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blender
Context triple: [NVIDIA Studio, optimizedFor, Blender]
  • A. Blender chosen
    Blender is a free and open-source 3D creation suite widely used for modeling, animation, rendering, and visual effects in film, games, and design.
  • B. Modo
    Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
  • C. 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.
  • D. NVIDIA Omniverse
    NVIDIA Omniverse is a real-time 3D simulation and collaboration platform that enables creators, engineers, and enterprises to build and connect physically accurate virtual worlds.
  • E. Adobe Substance 3D
    Adobe Substance 3D is a suite of tools for creating, texturing, and rendering 3D assets, widely used in game development, visual effects, and design workflows.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08cf50cc8190a025f478dff4f9fd completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b251c4148190a94fafdc23a601d6 completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:36 p.m.