Triple

T28203338
Position Surface form Disambiguated ID Type / Status
Subject St Barnabas Church, Dibley E716947 entity
Predicate associatedWithFictionalRole P25662 FINISHED
Object vicar 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: vicar | Statement: [St Barnabas Church, Dibley, associatedWithFictionalRole, vicar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithFictionalRole
Context triple: [St Barnabas Church, Dibley, associatedWithFictionalRole, vicar]
  • A. hasFictionalRole chosen
    Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
  • B. worksWithFictionalCharacter
    Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
  • C. associatedWithCharacterRole
    Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
  • D. fictionalCharacterAssociatedWith
    Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
  • E. associatedWithFictionalGroup
    Indicates that an entity has a connection or affiliation with a fictional group, organization, or collective.
  • 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_69efd6b826908190857e6e7dad74ed93 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_6a00ccadb6908190ab810a7c05315fa8 completed May 10, 2026, 6:21 p.m.
PD Predicate disambiguation batch_6a00cc0f86b88190a0d2c43618558f86 completed May 10, 2026, 6:18 p.m.
Created at: April 27, 2026, 10:33 p.m.