Triple

T22020945
Position Surface form Disambiguated ID Type / Status
Subject The River E543843 entity
Predicate starredActor P5563 FINISHED
Object Laura Donnelly 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: Laura Donnelly | Statement: [The River, starredActor, Laura Donnelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Donnelly
Context triple: [The River, starredActor, Laura Donnelly]
  • A. Laura Donnelly chosen
    Laura Donnelly is a Northern Irish actress known for her prominent roles in television dramas and genre series, including leading the cast of HBO's "The Nevers."
  • B. Deirdre O'Connell
    Deirdre O'Connell is an American actress known for her extensive work in film, television, and theater, including acclaimed stage performances and character roles on screen.
  • C. Laura Monaghan
    Laura Monaghan is an Australian actress best known for her leading role in the acclaimed film "Rabbit-Proof Fence," which portrays the experiences of Aboriginal children of the Stolen Generations.
  • D. Meg Donnelly
    Meg Donnelly is an American actress and singer best known for her roles in Disney Channel's "Zombies" franchise and the ABC sitcom "American Housewife."
  • E. Kate Nelligan
    Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c7b3308190ac056bef6f82722e completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.