Triple

T17390132
Position Surface form Disambiguated ID Type / Status
Subject Kathryn Chetkovich E422797 entity
Predicate hasWrittenFor P11775 FINISHED
Object Granta 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: Granta | Statement: [Kathryn Chetkovich, hasWrittenFor, Granta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granta
Context triple: [Kathryn Chetkovich, hasWrittenFor, Granta]
  • A. Granta chosen
    Granta is a renowned British literary magazine known for publishing high-quality fiction, nonfiction, and reportage by established and emerging writers.
  • B. Granta Books
    Granta Books is a British independent publishing house known for literary fiction and narrative non-fiction, often associated with innovative and international writing.
  • C. The Paris Review
    The Paris Review is a renowned American literary magazine celebrated for publishing influential fiction, poetry, and in-depth writer interviews since the 1950s.
  • D. The English Review
    The English Review was an influential early 20th-century British literary magazine known for publishing innovative modernist writers under the editorship of Ford Madox Ford.
  • E. The New Yorker
    The New Yorker is an American magazine renowned for its in-depth journalism, literary fiction, cultural commentary, and distinctive cartoons.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ab950d4819098d6a46f67c46191 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.