Triple

T23165680
Position Surface form Disambiguated ID Type / Status
Subject Dan Severn E578705 entity
Predicate familyName P18 FINISHED
Object Severn 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: Severn | Statement: [Dan Severn, familyName, Severn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Severn
Context triple: [Dan Severn, familyName, Severn]
  • A. Severn chosen
    The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
  • B. Thames
    The Thames is a major river in southern England that flows through London and has long been central to the country’s history, commerce, and culture.
  • C. Thames
    Thames is a historic town on New Zealand’s North Island, known for its gold-mining heritage and position at the base of the Coromandel Peninsula.
  • D. Thames
    Thames is a British television production company best known for creating and producing popular entertainment and game shows for UK and international audiences.
  • E. River Trent
    The River Trent is one of the principal rivers in the Midlands of England, flowing through cities such as Stoke-on-Trent and Nottingham before joining the Humber Estuary.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2bca4881909f6148d588948018 completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.