Triple

T10241180
Position Surface form Disambiguated ID Type / Status
Subject USD E243594 entity
Predicate component P35 FINISHED
Object USD Imaging E758266 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: USD Imaging | Statement: [USD, component, USD Imaging]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USD Imaging
Context triple: [USD, component, USD Imaging]
  • A. USD Imaging chosen
    USD Imaging is a component of Pixar’s Universal Scene Description (USD) framework that focuses on efficiently visualizing and rendering USD scene data.
  • B. ImageWorks
    ImageWorks is an interactive, hands-on exhibit area at Epcot where guests explore creativity and imagination through playful digital and sensory experiences.
  • C. Nu Image
    Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
  • D. imaging science system
    The imaging science system was the primary camera and imaging instrument suite on NASA's Voyager spacecraft, used to capture detailed photographs of planets and moons during their grand tour of the outer Solar System.
  • E. The Image Bank
    The Image Bank was a major stock photography agency known for its extensive collection of professional images, later incorporated into Getty Images’ global visual media archive.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21f2ae0819098ac60c828dc9cae completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f780c7808190993e7c37cb4d18a3 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:24 a.m.