Triple

T12207552
Position Surface form Disambiguated ID Type / Status
Subject StyleGAN E290872 entity
Predicate discriminatorType P103791 FINISHED
Object 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: convolutional neural network | Statement: [StyleGAN, discriminatorType, convolutional neural network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discriminatorType
Context triple: [StyleGAN, discriminatorType, convolutional neural network]
  • A. typeOfDiscrimination
    Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
  • B. doctrineType
    Indicates that one entity is a classification or kind of doctrinal position, teaching, or belief system to which the other entity belongs or pertains.
  • C. hasDiscriminant
    Indicates that a mathematical object (such as an equation, polynomial, or form) is associated with a specific discriminant value characterizing its roots or structural properties.
  • D. definitionType
    Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
  • E. deltaType
    Indicates a classification of the kind or category of change (difference) that has occurred between two related states or versions.
  • F. None of above. chosen

Provenance (4 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d920e312708190b4aede2e21f5f697 completed April 10, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69d91c3d669c81908eea7ad61122d275 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d920c3dc9881908c396a4ab34f4836 completed April 10, 2026, 4:09 p.m.
Created at: April 8, 2026, 9:51 p.m.