Triple

T8948453
Position Surface form Disambiguated ID Type / Status
Subject Robert Knox E213282 entity
Predicate influenced P9 FINISHED
Object Daniel Defoe E23892 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: Daniel Defoe | Statement: [Robert Knox, influenced, Daniel Defoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Defoe
Context triple: [Robert Knox, influenced, Daniel Defoe]
  • A. Daniel Defoe chosen
    Daniel Defoe was an English writer, journalist, and pamphleteer best known as a pioneer of the novel form and the author of "Robinson Crusoe."
  • B. John Bunyan
    John Bunyan was a 17th-century English Puritan preacher and writer best known for his Christian allegory "The Pilgrim's Progress."
  • C. Jonathan Swift
    Jonathan Swift was an Anglo-Irish satirist, essayist, and clergyman best known for works like "Gulliver’s Travels" and "A Modest Proposal," which sharply critiqued politics and society.
  • D. Henry Fielding
    Henry Fielding was an 18th-century English novelist and dramatist best known for his satirical works such as "Tom Jones," which helped shape the development of the modern novel.
  • E. Tobias Smollett
    Tobias Smollett was an 18th-century Scottish novelist, satirist, and physician best known for his picaresque novels and sharp social commentary.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6709c7a48190ab503083a1d6a29f completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:59 p.m.