Triple

T21609224
Position Surface form Disambiguated ID Type / Status
Subject Colonel Feversham E533254 entity
Predicate familyName P18 FINISHED
Object Feversham 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: Feversham | Statement: [Colonel Feversham, familyName, Feversham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feversham
Context triple: [Colonel Feversham, familyName, Feversham]
  • A. Feversham chosen
    Feversham is an English surname most notably associated with the fictional character Harry Feversham from A.E.W. Mason’s novel "The Four Feathers."
  • B. Claverham
    Claverham is a village in North Somerset, England, situated near Yatton and known for its rural character and residential community.
  • C. Styal
    Styal is a village in Cheshire, England, known for its historic cotton mill and role in the early Industrial Revolution.
  • D. Frensham
    Frensham is a rural village in Surrey, England, known for its scenic commons, ponds, and surrounding countryside.
  • E. Windlesham
    Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e7005c81908cfa86358b8dbef1 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.