Triple

T10935357
Position Surface form Disambiguated ID Type / Status
Subject Reverend Mr. Hooper E258317 entity
Predicate relationshipToCongregation P26859 FINISHED
Object pastor 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: pastor | Statement: [Reverend Mr. Hooper, relationshipToCongregation, pastor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToCongregation
Context triple: [Reverend Mr. Hooper, relationshipToCongregation, pastor]
  • A. associatedWithChurch
    Indicates a relationship in which an entity has a connection, involvement, or affiliation with a church.
  • B. hasCongregation chosen
    Indicates that an entity is associated with or serves as the gathering place or organized group of worshippers for a religious community.
  • C. hasParentChurch
    Indicates that a church or religious organization is institutionally subordinate to or derived from another church, which serves as its parent or overseeing body.
  • D. relationshipToEvent
    Indicates the specific way an entity is connected or related to a particular event.
  • E. relationToCouncil
    Indicates the nature or type of connection an entity has with a council, such as membership, oversight, affiliation, or governance relationship.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770aee178819082c1671a37ff7d82 completed April 9, 2026, 9:26 a.m.
PD Predicate disambiguation batch_69d72e816a98819096d6c10dfb88a66a completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.