Triple

T19274107
Position Surface form Disambiguated ID Type / Status
Subject Julien Benda E482001 entity
Predicate influenced P9 FINISHED
Object George Orwell 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: George Orwell | Statement: [Julien Benda, influenced, George Orwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Orwell
Context triple: [Julien Benda, influenced, George Orwell]
  • A. George Orwell chosen
    George Orwell was a British novelist, essayist, and critic best known for his dystopian works "1984" and "Animal Farm," which explore themes of totalitarianism, propaganda, and social injustice.
  • B. Orwell
    Orwell is a small rural village and civil parish in Cambridgeshire, England, known for its historic church and agricultural surroundings.
  • C. Arthur Koestler
    Arthur Koestler was a Hungarian-British author and journalist best known for his anti-totalitarian novel "Darkness at Noon" and his influential writings on politics, science, and philosophy.
  • D. Anthony Burgess
    Anthony Burgess was a British novelist, critic, and composer best known for his dystopian novel "A Clockwork Orange."
  • E. William Golding
    William Golding was a British novelist and Nobel Prize laureate best known for his allegorical novel "Lord of the Flies."
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbb2fc08190b417a6d0b7a9d6b8 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.