Triple

T2534040
Position Surface form Disambiguated ID Type / Status
Subject Marie de France E56226 entity
Predicate sourceOfInspiration P6934 FINISHED
Object Breton oral tales 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: Breton oral tales | Statement: [Marie de France, sourceOfInspiration, Breton oral tales]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sourceOfInspiration
Context triple: [Marie de France, sourceOfInspiration, Breton oral tales]
  • A. inspiredAuthor chosen
    Indicates that one entity served as a source of creative or intellectual inspiration for an author entity.
  • B. inspiration
    Indicates that one entity serves as a motivating or creative influence that stimulates ideas, actions, or feelings in another entity.
  • C. inspiredDocument
    Indicates that one entity (often a work, idea, or person) served as the creative or conceptual inspiration for the creation or content of another document.
  • D. inspiredArtist
    Indicates that one artist has served as a source of creative influence or inspiration for another artist.
  • E. inspiredByArtist
    Indicates that one entity’s work, style, or creation is influenced or motivated by the artistic output or persona of another artist.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd64a2194819097c66cbeb37fe859 completed March 7, 2026, 7:39 a.m.
PD Predicate disambiguation batch_69abd0c4a5dc819097812db50443420a completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.