Triple

T7388374
Position Surface form Disambiguated ID Type / Status
Subject Adreno E170438 entity
Predicate predecessor P97 FINISHED
Object ATI Imageon E317294 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: ATI Imageon | Statement: [Adreno, predecessor, ATI Imageon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATI Imageon
Context triple: [Adreno, predecessor, ATI Imageon]
  • A. ATI Hollywood
    ATI Hollywood is the custom graphics processing unit designed by ATI Technologies for Nintendo's Wii console, providing its 3D rendering and visual capabilities.
  • B. ATI Technologies chosen
    ATI Technologies was a Canadian company best known as a leading designer and manufacturer of graphics processing units (GPUs) and chipsets for computers and gaming consoles.
  • C. Silicon Image
    Silicon Image was a semiconductor company best known for pioneering digital interface technologies, including key contributions to the development and commercialization of HDMI.
  • D. Altsys
    Altsys was a software company best known for creating the vector-graphics illustration program FreeHand, later acquired and developed by larger firms.
  • E. Efficeon
    Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f3f5f48190aabe69ba79cbcb93 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802e56fb48190976612d2a94d6ee5 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:09 p.m.