Triple

T20101434
Position Surface form Disambiguated ID Type / Status
Subject Pat Kavanagh E496550 entity
Predicate hasClient P734 FINISHED
Object Anne Enright 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: Anne Enright | Statement: [Pat Kavanagh, hasClient, Anne Enright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Enright
Context triple: [Pat Kavanagh, hasClient, Anne Enright]
  • A. Anne Enright chosen
    Anne Enright is an acclaimed contemporary Irish novelist and short story writer, best known for her Booker Prize–winning novel "The Gathering."
  • B. Colm Tóibín
    Colm Tóibín is an acclaimed Irish novelist, essayist, and critic known for works such as "Brooklyn" and "The Master," often exploring themes of identity, exile, and family.
  • C. Emma Donoghue
    Emma Donoghue is an Irish-Canadian novelist, playwright, and screenwriter best known for her novel "Room" and its acclaimed film adaptation.
  • D. Eimear McBride
    Eimear McBride is an Irish novelist acclaimed for her formally experimental, psychologically intense fiction, including the award-winning debut "A Girl Is a Half-formed Thing."
  • E. A. L. Kennedy
    A. L. Kennedy is a Scottish writer and stand-up comedian known for her darkly comic, psychologically incisive fiction and essays.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666ff4008190ae1eec907c89bd3b completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.