Triple

T4168872
Position Surface form Disambiguated ID Type / Status
Subject John Felice Rome Center E84509 entity
Predicate parentOrganizationReligiousAffiliation P45 FINISHED
Object Jesuit 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: Jesuit | Statement: [John Felice Rome Center, parentOrganizationReligiousAffiliation, Jesuit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parentOrganizationReligiousAffiliation
Context triple: [John Felice Rome Center, parentOrganizationReligiousAffiliation, Jesuit]
  • A. hasReligiousOrganization
    Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
  • B. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • C. associatedReligionText
    Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
  • D. religiousFoundation
    Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
  • E. hasReligiousInstitutionType
    Indicates that an entity is associated with, or classified by, a specific type of religious institution.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c730b081908b19e6a4aea1549b completed March 9, 2026, 5:26 p.m.
PD Predicate disambiguation batch_69af018fb0948190a9701b2e8e5d9bac completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:44 p.m.