Triple

T21844840
Position Surface form Disambiguated ID Type / Status
Subject Commentary on the Sentences of Peter Lombard E539347 entity
Predicate authorAcademicRole P130956 FINISHED
Object lecture course 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: lecture course | Statement: [Commentary on the Sentences of Peter Lombard, authorAcademicRole, lecture course]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authorAcademicRole
Context triple: [Commentary on the Sentences of Peter Lombard, authorAcademicRole, lecture course]
  • A. regionAcademicRole
    Indicates that an academic role or position is associated with, defined within, or applicable to a specific geographic or administrative region.
  • B. academicFieldOfAuthor
    Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
  • C. hasAcademicFunctionFor chosen
    Indicates that one entity performs or fulfills an academic role, duty, or function on behalf of or in relation to another entity.
  • D. countryAcademicRole
    Indicates a relationship in which an entity holds or is associated with an academic role or position within a specific country.
  • E. academicAdvisorOfAuthor
    Indicates that one person serves as the academic advisor or mentor responsible for guiding the author in their scholarly or research activities.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd5398fc81909f025bcccd0f80cb completed April 28, 2026, 1:59 p.m.
PD Predicate disambiguation batch_69e6be8c14748190bdcc44a14d50bea4 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 6:55 p.m.