Triple

T20199214
Position Surface form Disambiguated ID Type / Status
Subject David Cohen Prize for Literature E493166 entity
Predicate hasRecipient P108 FINISHED
Object Peter Carey 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: Peter Carey | Statement: [David Cohen Prize for Literature, hasRecipient, Peter Carey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Carey
Context triple: [David Cohen Prize for Literature, hasRecipient, Peter Carey]
  • A. Peter Carey chosen
    Peter Carey is an acclaimed Australian novelist known for his richly imaginative fiction and for winning the Booker Prize twice.
  • B. David de Kretser
    David de Kretser is an Australian medical researcher and academic who served as the 27th Governor of Victoria.
  • C. William Boyd
    William Boyd was an American actor best known for portraying the cowboy hero Hopalong Cassidy in numerous films and early television.
  • D. William Boyd
    William Boyd is a Scottish novelist and screenwriter acclaimed for his richly crafted literary fiction, including works such as "Any Human Heart" and "A Good Man in Africa."
  • E. Tim Winton
    Tim Winton is an acclaimed Australian novelist and short story writer known for his evocative portrayals of coastal life, environmental themes, and complex family relationships.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8c0eac81908ffdf72d71d2e5d2 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.