Triple

T23376274
Position Surface form Disambiguated ID Type / Status
Subject Exodus (song) E593613 entity
Predicate basedOnNovelBy P15523 FINISHED
Object Leon Uris 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: Leon Uris | Statement: [Exodus (song), basedOnNovelBy, Leon Uris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leon Uris
Context triple: [Exodus (song), basedOnNovelBy, Leon Uris]
  • A. Leon Uris chosen
    Leon Uris was an American novelist best known for his popular historical epics such as "Exodus" and "Mila 18," which often focused on Jewish history and the human impact of war.
  • B. Herman Wouk
    Herman Wouk was an American novelist and screenwriter best known for his Pulitzer Prize–winning novel "The Caine Mutiny" and other popular works of mid-20th-century fiction.
  • C. Alan Furst
    Alan Furst is an American author renowned for his atmospheric historical espionage novels set in Europe on the eve of and during World War II.
  • D. Sidney Kingsley
    Sidney Kingsley was an American playwright renowned for his socially conscious, Pulitzer Prize–winning dramas such as "Men in White" and "Dead End."
  • E. David Leavitt
    David Leavitt is an architect known for his work on Manitoga, the modernist woodland estate and studio of designer Russel Wright in New York.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b3cc348190953d0b0ebac9c5dd completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.