Triple

T17887628
Position Surface form Disambiguated ID Type / Status
Subject DC Multiverse E447236 entity
Predicate hasPart P35 FINISHED
Object Omniverse NE NERFINISHED

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: Omniverse | Statement: [DC Multiverse, hasPart, Omniverse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omniverse
Context triple: [DC Multiverse, hasPart, Omniverse]
  • A. Omniverse Nucleus
    Omniverse Nucleus is NVIDIA Omniverse’s central data and collaboration server that manages, synchronizes, and shares 3D assets and scenes across users and applications.
  • B. Omniverse View
    Omniverse View is an NVIDIA Omniverse application for high-fidelity, real-time visualization and review of 3D scenes and virtual worlds.
  • C. Omniverse Machinima
    Omniverse Machinima is an NVIDIA Omniverse application for creating real-time cinematic content and animated shorts using game assets, virtual production tools, and AI-assisted workflows.
  • D. NVIDIA Omniverse chosen
    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. Omniverse Farm
    Omniverse Farm is NVIDIA’s scalable, server-based system for managing and distributing large-scale rendering and simulation workloads across multiple machines within the Omniverse platform.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c14c4348190bb77712d9eae1d51 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.