Triple

T32476127
Position Surface form Disambiguated ID Type / Status
Subject A Declaration of Egregious Popish Impostures E829979 entity
Predicate authorLaterOffice P151925 FINISHED
Object Archbishop of York NE NERFINISHED

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: Archbishop of York | Statement: [A Declaration of Egregious Popish Impostures, authorLaterOffice, Archbishop of York]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: authorLaterOffice
Context triple: [A Declaration of Egregious Popish Impostures, authorLaterOffice, Archbishop of York]
  • A. laterOffice
    Indicates that one office or term of office occurs chronologically after another office or term.
  • B. authorLaterBecame chosen
    Indicates that the subject, who is an author of something, subsequently took on or transitioned into the role or status specified by the object at a later time.
  • C. namedAfterWorkAuthor
    Indicates that an entity is named after the author of a particular work.
  • D. afterOffice
    Indicates that one event, action, or state occurs after the end of normal office or working hours.
  • E. authorOfPreviousWork
    Indicates that one entity is the creator or writer of an earlier work referenced or built upon by another entity.
  • 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_69f3491ff3b48190b50a7fa00bb05b1f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd3d46d1f48190a1b20dd063224b7d completed May 8, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69fd3ae1510c81908fe1280efc17feee completed May 8, 2026, 1:22 a.m.
Created at: May 1, 2026, 12:58 a.m.