Triple

T2217249
Position Surface form Disambiguated ID Type / Status
Subject John le Carré E48060 entity
Predicate pseudonym P39 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: [John le Carré, pseudonym, John le Carré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John le Carré
Context triple: [John le Carré, pseudonym, 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. Graham Greene
    Graham Greene was a prominent 20th-century British novelist and playwright known for his psychologically complex thrillers and explorations of moral and political ambiguity.
  • E. Robert Ludlum
    Robert Ludlum was an American author best known for his fast-paced espionage and thriller novels, including the Jason Bourne series.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc010bd4c8190ace293b37eac1de5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65594c948190a43bdab03e61c130 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.