Triple

T3058790
Position Surface form Disambiguated ID Type / Status
Subject The Viking Press E60544 entity
Predicate hasAuthorPublished P44842 FINISHED
Object William Golding E119014 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: William Golding | Statement: [The Viking Press, hasAuthorPublished, William Golding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Golding
Context triple: [The Viking Press, hasAuthorPublished, William Golding]
  • A. William Golding chosen
    William Golding was a British novelist and Nobel Prize laureate best known for his allegorical novel "Lord of the Flies."
  • B. Anthony Burgess
    Anthony Burgess was a British novelist, critic, and composer best known for his dystopian novel "A Clockwork Orange."
  • C. Nevil Shute
    Nevil Shute was a British-born novelist and aeronautical engineer best known for his post-apocalyptic novel "On the Beach" and other mid-20th-century popular fiction.
  • 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. George Orwell
    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.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e1741648190b710b7022252498d completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0903cc81909a073fe78dbf0b14 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.