Triple

T17351407
Position Surface form Disambiguated ID Type / Status
Subject James Norton E421821 entity
Predicate notableWork P4 FINISHED
Object Grantchester E963213 NE 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: Grantchester | Statement: [James Norton, notableWork, Grantchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grantchester
Context triple: [James Norton, notableWork, 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 (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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2ca0708190aae8306ec3a6f2a7 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195585e5881909b0ad386b65112ba completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.