Triple

T16015915
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Strange & Mr Norrell E388465 entity
Predicate castMember P1668 FINISHED
Object Charlotte Riley E173400 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: Charlotte Riley | Statement: [Jonathan Strange & Mr Norrell, castMember, Charlotte Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Riley
Context triple: [Jonathan Strange & Mr Norrell, castMember, Charlotte Riley]
  • A. Charlotte Riley chosen
    Charlotte Riley is an English actress known for her roles in film and television, including appearances in major productions such as "Edge of Tomorrow" and the TV series "Peaky Blinders."
  • B. Melanie Reeve
    Melanie Reeve is the wife of American filmmaker Matt Reeves, known for her long-term partnership with the director behind films like Cloverfield and The Batman.
  • C. Rebecca Caine
    Rebecca Caine is a Canadian soprano and musical theatre actress best known for her work in productions such as Les Misérables and The Phantom of the Opera.
  • D. Kate Healey
    Kate Healey is a notable individual recognized as a prominent bearer of the Healey surname.
  • E. Lissa Evans
    Lissa Evans is a British author and former television director and producer, known for her witty, character-driven novels for both adults and children.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff796fafc8190b6cfb2d8ea502eef completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:55 a.m.