Triple

T15148720
Position Surface form Disambiguated ID Type / Status
Subject Commentary on the Rule of Saint Benedict E361880 entity
Predicate attributedAuthorOccupation P13413 FINISHED
Object monk 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: monk | Statement: [Commentary on the Rule of Saint Benedict, attributedAuthorOccupation, monk]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attributedAuthorOccupation
Context triple: [Commentary on the Rule of Saint Benedict, attributedAuthorOccupation, monk]
  • A. authorOccupation
    Indicates the professional role or job that an author holds or is associated with.
  • B. creatorOccupation chosen
    Indicates the professional role or job that the creator of an entity holds or held.
  • C. publisherProfessionOfAuthor
    Indicates that the profession specified is the occupation or professional role of the author associated with a given publisher.
  • D. authorDescribedIn
    Indicates that information about an author is provided or discussed within a particular document or source.
  • E. authorAsCredited
    Indicates the relationship between a work and the person or entity credited as its author, regardless of actual authorship.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c934048190afac78a8023a544a completed April 15, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69deb9779acc81908ed2dad382c42dca completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:07 a.m.