Triple

T9409834
Position Surface form Disambiguated ID Type / Status
Subject Dalkey E226675 entity
Predicate notableResident P1092 FINISHED
Object Maeve Binchy E154039 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: Maeve Binchy | Statement: [Dalkey, notableResident, Maeve Binchy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maeve Binchy
Context triple: [Dalkey, notableResident, Maeve Binchy]
  • A. Maeve Binchy chosen
    Maeve Binchy was a bestselling Irish novelist and short story writer known for her warm, character-driven tales of everyday life and relationships, often set in small-town Ireland.
  • B. Emma Donoghue
    Emma Donoghue is an Irish-Canadian novelist, playwright, and screenwriter best known for her novel "Room" and its acclaimed film adaptation.
  • C. Edna O'Brien
    Edna O'Brien is an acclaimed Irish novelist, short story writer, and playwright renowned for her candid explorations of women's inner lives, sexuality, and Irish society.
  • D. Beryl Bainbridge
    Beryl Bainbridge was an acclaimed English novelist and playwright known for her darkly comic, psychologically incisive fiction often set in postwar Britain.
  • 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 (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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5255e4fc81908bf2f69c9a12ef83 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107a5fcc081909a2d743e9673fe9e completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.