Triple

T319616
Position Surface form Disambiguated ID Type / Status
Subject Diedrich Knickerbocker E7783 entity
Predicate hasMetafictionalRole P12417 FINISHED
Object blurs boundary between author and narrator 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: blurs boundary between author and narrator | Statement: [Diedrich Knickerbocker, hasMetafictionalRole, blurs boundary between author and narrator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMetafictionalRole
Context triple: [Diedrich Knickerbocker, hasMetafictionalRole, blurs boundary between author and narrator]
  • A. fictionalizationOf
    Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
  • B. hasNotableFictionalBearer
    Indicates that an entity is associated with at least one well-known fictional character that bears its name or designation.
  • C. hasProtagonist
    Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
  • D. describedByAuthorAs
    Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
  • E. deFactoRole
    Indicates that an entity effectively functions in a role or capacity in practice, even if that role is not formally or officially assigned.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea7edbc48190b9031bd1af48f72a completed Feb. 28, 2026, 1:15 p.m.
PD Predicate disambiguation batch_69a2e946607081909c8b97473aaf8d1b completed Feb. 28, 2026, 1:10 p.m.
PDg Predicate description generation batch_69a2ea7d03a88190aab72e61d8673488 completed Feb. 28, 2026, 1:15 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.