Triple

T8416748
Position Surface form Disambiguated ID Type / Status
Subject 1984 E198746 entity
Predicate author P4 FINISHED
Object George Orwell E17606 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: George Orwell | Statement: [1984, author, George Orwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Orwell
Context triple: [1984, author, 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 (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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c5121081908efa3eca25406d3a completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf6e745864819086bab0864719ed7f completed April 3, 2026, 7:38 a.m.
Created at: March 30, 2026, 6:06 p.m.