Triple

T18380718
Position Surface form Disambiguated ID Type / Status
Subject Nick Brimble E446433 entity
Predicate appearedIn P795 FINISHED
Object Grantchester 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: Grantchester | Statement: [Nick Brimble, appearedIn, Grantchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grantchester
Context triple: [Nick Brimble, appearedIn, Grantchester]
  • A. Grantchester chosen
    Grantchester is a British period crime drama television series set in a 1950s Cambridgeshire village, following a vicar and a detective as they solve local mysteries.
  • B. Grantchester Meadows
    Grantchester Meadows is a picturesque riverside area near Cambridge, England, known for its tranquil pastoral scenery and association with literary and musical works.
  • C. Grantchester Road
    "Grantchester Road" is a notable abstract painting by British artist Howard Hodgkin, recognized for its expressive use of color and gestural brushwork.
  • D. Grantchester Grind
    Grantchester Grind is a satirical comic novel by Tom Sharpe that lampoons the eccentricities and politics of an English Cambridge college.
  • E. Marple
    Marple is a suburban town in the Metropolitan Borough of Stockport, Greater Manchester, England, known for its canals, locks, and proximity to the Peak District.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179aa328819097f5ed8193cfa401 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.