Triple

T28203364
Position Surface form Disambiguated ID Type / Status
Subject St Barnabas Church, Dibley E716947 entity
Predicate usedForComicSituationsIn P157473 FINISHED
Object The Vicar of Dibley 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: The Vicar of Dibley | Statement: [St Barnabas Church, Dibley, usedForComicSituationsIn, The Vicar of Dibley]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedForComicSituationsIn
Context triple: [St Barnabas Church, Dibley, usedForComicSituationsIn, The Vicar of Dibley]
  • A. usedForHumor
    Indicates that something is employed with the intention of being funny, amusing, or comical.
  • B. usedAgainst
    Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
  • C. usesInComedy chosen
    Indicates that something is employed or incorporated as a humorous element within a comedic context or performance.
  • D. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • E. alsoUsedIn
    Indicates that something is additionally employed, applied, or present in another context, setting, or use case beyond the primary one.
  • 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_69f70e8755a48190931eaa77946f9460 completed May 3, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f70abc00848190a1c3f495ef6c8dc6 completed May 3, 2026, 8:43 a.m.
Created at: April 27, 2026, 10:33 p.m.