Triple

T1342864
Position Surface form Disambiguated ID Type / Status
Subject Hodder & Stoughton E28503 entity
Predicate hasNotableAuthor P4244 FINISHED
Object John le Carré E48060 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: John le Carré | Statement: [Hodder & Stoughton, hasNotableAuthor, John le Carré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John le Carré
Context triple: [Hodder & Stoughton, hasNotableAuthor, John le Carré]
  • A. John le Carré chosen
    John le Carré was a renowned British novelist best known for his sophisticated espionage thrillers that explored the moral ambiguities of Cold War intelligence work.
  • B. Ian Fleming
    Ian Fleming was a British author and journalist best known as the creator of the James Bond spy novels.
  • C. Jeffrey Archer
    Jeffrey Archer is a British author and former politician best known for his bestselling novels and thrillers.
  • D. Peter Fleming
    Peter Fleming was a British travel writer, journalist, and adventurer, best known for his travel books and for his work as a wartime intelligence officer.
  • E. Ed Reiss
    Ed Reiss is a central character in Harvey Fierstein’s "Torch Song Trilogy," depicted as a conflicted bisexual man whose turbulent relationship with the protagonist explores themes of identity, love, and societal expectations.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2174d048190a6e9380df302265f completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc632cbc88190a64897f1b101c699 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.