Triple

T16015921
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Strange & Mr Norrell E388465 entity
Predicate castMember P1668 FINISHED
Object Vincent Franklin E352365 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: Vincent Franklin | Statement: [Jonathan Strange & Mr Norrell, castMember, Vincent Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Franklin
Context triple: [Jonathan Strange & Mr Norrell, castMember, Vincent Franklin]
  • A. Vincent Franklin chosen
    Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
  • B. Vincent Newman
    Vincent Newman is a film producer known for working on a variety of Hollywood movies, including comedies and genre films.
  • C. Vincent Lawrence
    Vincent Lawrence was an American playwright and screenwriter active in early 20th-century theater and film.
  • D. Vaughn Franklin
    Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
  • E. Vance Franklin
    Vance Franklin is an individual notable enough to be specifically cited as a bearer of the surname Franklin.
  • 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_69ffcf284fa481909b571d1bf107fca4 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.