Triple

T21995121
Position Surface form Disambiguated ID Type / Status
Subject David Magarshack E543185 entity
Predicate name P16 FINISHED
Object David Magarshack 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: David Magarshack | Statement: [David Magarshack, name, David Magarshack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Magarshack
Context triple: [David Magarshack, name, David Magarshack]
  • A. David Magarshack chosen
    David Magarshack was a 20th-century British translator and biographer best known for his influential English translations of Russian classics, particularly the works of Dostoevsky.
  • B. George McCorquodale
    George McCorquodale is a member of the British aristocratic Spencer family and a nephew of Diana, Princess of Wales.
  • C. C. Peter Magrath
    C. Peter Magrath is an American higher education leader and former university president known for his influential roles in public university administration and national education organizations.
  • D. Richard Mayne
    Richard Mayne was a 19th-century British lawyer and civil servant best known as one of the first Commissioners of the Metropolitan Police in London.
  • E. Graham Hess
    Graham Hess is a former Episcopal priest and widowed father who struggles with his faith while protecting his family during a mysterious alien invasion in the film "Signs."
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276493bc81908567445e901bc3a7 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.