Triple

T32530600
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Archdiocese of Cincinnati E831441 entity
Predicate hasFormerOrdinary P194139 FINISHED
Object John Baptist Purcell 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: John Baptist Purcell | Statement: [Roman Catholic Archdiocese of Cincinnati, hasFormerOrdinary, John Baptist Purcell]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerOrdinary
Context triple: [Roman Catholic Archdiocese of Cincinnati, hasFormerOrdinary, John Baptist Purcell]
  • A. hasFormerUse
    Indicates that something previously served a particular function or role that it no longer has.
  • B. hasFormerParticipant
    Indicates that an entity once participated in an activity, event, or organization but is no longer a current participant.
  • C. hasFormerHighRepresentative
    Indicates that an entity previously held the role of High Representative for another entity or organization.
  • D. hasFormerPatron
    Indicates that an entity previously served as a patron or sponsor of another entity, but no longer holds that role.
  • E. firstOrdinary
    Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
  • F. None of above. chosen

Provenance (4 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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd64bc86848190a49f451a8fc5cf1e completed May 8, 2026, 4:21 a.m.
PD Predicate disambiguation batch_69fd5ff4a648819090756d90fd195d9a completed May 8, 2026, 4 a.m.
PDg Predicate description generation batch_69fd64bb345c819096a35c72784a8ce3 completed May 8, 2026, 4:21 a.m.
Created at: May 1, 2026, 1:01 a.m.