Triple

T11855612
Position Surface form Disambiguated ID Type / Status
Subject Lib Wright E282030 entity
Predicate creator P184 FINISHED
Object Emma Donoghue E257159 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: Emma Donoghue | Statement: [Lib Wright, creator, Emma Donoghue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Donoghue
Context triple: [Lib Wright, creator, Emma Donoghue]
  • A. Emma Donoghue chosen
    Emma Donoghue is an Irish-Canadian novelist, playwright, and screenwriter best known for her novel "Room" and its acclaimed film adaptation.
  • B. A. L. Kennedy
    A. L. Kennedy is a Scottish writer and stand-up comedian known for her darkly comic, psychologically incisive fiction and essays.
  • C. Maeve Binchy
    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.
  • D. Claire Finn
    Claire Finn is a skilled and compassionate chief medical officer aboard the exploratory spaceship in the science-fiction comedy-drama series "The Orville."
  • E. Helen Dunmore
    Helen Dunmore was a British poet, novelist, and children's writer renowned for her lyrical prose and psychologically rich storytelling, often exploring themes of history, memory, and family.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167d9b9e8819093582637941fc5ca completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.