Triple

T36295721
Position Surface form Disambiguated ID Type / Status
Subject King Henry VIII’s College E893358 entity
Predicate predecessorAffiliation P118676 FINISHED
Object Roman Catholic Church 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: Roman Catholic Church | Statement: [King Henry VIII’s College, predecessorAffiliation, Roman Catholic Church]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorAffiliation
Context triple: [King Henry VIII’s College, predecessorAffiliation, Roman Catholic Church]
  • A. hasFounderPreviousAffiliation
    Indicates that a founder of an entity was previously affiliated (e.g., employed, enrolled, or otherwise formally associated) with another organization or institution.
  • B. predecessorName
    Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
  • C. formerAdministrativeAffiliation chosen
    Indicates that an entity used to be administratively affiliated with another entity in the past, but that affiliation no longer holds.
  • D. employerPredecessorName
    Indicates that the referenced name identifies a previous employer of the entity in question.
  • E. predecessorRealName
    Indicates that one entity is the real (actual) name of the predecessor of 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_69f76e4a61f0819084a2b68dbbb4efc6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fe00dad1708190b6522476bebb43af completed May 8, 2026, 3:27 p.m.
PD Predicate disambiguation batch_69fdfc3717f48190bb50ac2919c8ef95 completed May 8, 2026, 3:07 p.m.
Created at: May 3, 2026, 4:09 p.m.