Triple

T12207406
Position Surface form Disambiguated ID Type / Status
Subject Deep Convolutional GAN E290869 entity
Predicate outputOfDiscriminator P66288 FINISHED
Object real or fake probability 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: real or fake probability | Statement: [Deep Convolutional GAN, outputOfDiscriminator, real or fake probability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outputOfDiscriminator
Context triple: [Deep Convolutional GAN, outputOfDiscriminator, real or fake probability]
  • A. outputClassification
    Indicates how a given output is categorized or labeled according to a specified classification scheme.
  • B. 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.
  • 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. outputOf chosen
    Indicates that one entity is the result or product generated by the processing, operation, or behavior of another entity.
  • E. decisionOutput
    Indicates that a decision-making process produces or yields a particular outcome or result.
  • 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_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.
Created at: April 8, 2026, 9:51 p.m.