Triple

T36062436
Position Surface form Disambiguated ID Type / Status
Subject Genji E1043123 entity
Predicate workAuthorshipContext P41119 FINISHED
Object Heian-era female authorship 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: Heian-era female authorship | Statement: [Genji, workAuthorshipContext, Heian-era female authorship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workAuthorshipContext
Context triple: [Genji, workAuthorshipContext, Heian-era female authorship]
  • A. contextWithinAuthorWork
    Indicates that one element is situated within the contextual scope or framework established by an author's specific work.
  • B. workAttributedContext chosen
    Indicates that a work is associated with or derived from a particular contextual source, setting, or circumstance that informs its creation or interpretation.
  • C. publicationAuthorContext
    Indicates the contextual relationship between a publication and its author(s), such as roles, contributions, or circumstances under which the work was created.
  • D. workAuthoredIn
    Indicates that a work was created or written in a particular place or time context.
  • E. associatedWithAuthorWork
    Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
  • 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_69f76e2f09448190b0486d5ecad5e243 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7bbf906d8819099020e548dd56bc9 completed May 3, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69f7b9a2dcf88190a7c9e109e41267be completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:08 p.m.