Triple

T12213738
Position Surface form Disambiguated ID Type / Status
Subject Johanna Barker E291030 entity
Predicate portrayedBy P1507 FINISHED
Object Jayne Wisener E285255 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: Jayne Wisener | Statement: [Johanna Barker, portrayedBy, Jayne Wisener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayne Wisener
Context triple: [Johanna Barker, portrayedBy, Jayne Wisener]
  • A. Jayne Wisener chosen
    Jayne Wisener is a Northern Irish actress and singer best known for playing Johanna in Tim Burton’s film adaptation of Sweeney Todd: The Demon Barber of Fleet Street.
  • B. Jayne Rowse
    Jayne Rowse is a Michigan nurse and LGBT rights advocate known for challenging the state's same-sex marriage and adoption bans in the landmark DeBoer v. Snyder case.
  • C. Joanne Tucker
    Joanne Tucker is an American actress known for her work in independent films and theater, as well as for her involvement in arts-focused nonprofit initiatives.
  • D. Lisa Lynne
    Lisa Lynne is an American Celtic harpist and composer known for her melodic, folk-inspired instrumental music and collaborations in the new age and world music genres.
  • E. Jayne Posner
    Jayne Posner is best known as the first wife of American singer-songwriter Neil Diamond.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa13f64819096dc23295a6f0cdb completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.