Triple

T8494625
Position Surface form Disambiguated ID Type / Status
Subject positronic brain E201065 entity
Predicate hasFictionalVulnerability P61557 FINISHED
Object susceptibility to logical paradoxes 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: susceptibility to logical paradoxes | Statement: [positronic brain, hasFictionalVulnerability, susceptibility to logical paradoxes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalVulnerability
Context triple: [positronic brain, hasFictionalVulnerability, susceptibility to logical paradoxes]
  • A. hasFictionalFunction
    Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
  • B. hasFictionalIssue chosen
    Indicates that one entity possesses, is associated with, or is characterized by a particular fictional problem, flaw, or complication.
  • C. hasFictionalProperty
    Indicates that an entity possesses a property, attribute, or characteristic that exists only in a fictional or imaginary context.
  • D. fictionalSecurityLevel
    Indicates the degree or category of security status assigned within a fictional or imagined context.
  • E. hasFictionalForm
    Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57c01f881908cb77c8c834ac08d completed March 31, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69cbd10a4b0881909e254117780dc823 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:13 p.m.