Triple

T22411978
Position Surface form Disambiguated ID Type / Status
Subject ImageNet Classification with Deep Convolutional Neural Networks E554013 entity
Predicate proposesArchitectureType P4631 FINISHED
Object deep convolutional neural network LITERAL 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: deep convolutional neural network | Statement: [ImageNet Classification with Deep Convolutional Neural Networks, proposesArchitectureType, deep convolutional neural network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposesArchitectureType
Context triple: [ImageNet Classification with Deep Convolutional Neural Networks, proposesArchitectureType, deep convolutional neural network]
  • A. usesArchitecture
    Indicates that one entity is built, implemented, or operates according to the architectural style, framework, or design specified by another entity.
  • B. architectureType chosen
    Indicates the specific style or category of architecture that characterizes or defines an entity.
  • C. possibleArchitect
    Indicates that an entity is a candidate or likely creator/designer (architect) of another entity, but this authorship is not confirmed.
  • D. architecturalConcept
    Indicates that one entity represents or embodies an architectural concept in relation to another entity.
  • E. architectInstanceOf
    Indicates that an architect is an instance or specific example of a more general architect class or type.
  • F. None of above.

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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15943dd84819099e77563da470594 completed April 29, 2026, 1:05 a.m.
PD Predicate disambiguation batch_69e8989495bc81909d2699fce5992e28 completed April 22, 2026, 9:44 a.m.
Created at: April 16, 2026, 8:46 p.m.