Triple

T15750121
Position Surface form Disambiguated ID Type / Status
Subject Schindler's List (novel) E381822 entity
Predicate author P4 FINISHED
Object Thomas Keneally E268284 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: Thomas Keneally | Statement: [Schindler's List (novel), author, Thomas Keneally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Keneally
Context triple: [Schindler's List (novel), author, Thomas Keneally]
  • A. Thomas Keneally chosen
    Thomas Keneally is an Australian novelist best known for his historical fiction, including the Booker Prize–winning book that inspired the film "Schindler's List."
  • B. Richard Flanagan
    Richard Flanagan is an acclaimed Australian novelist and Man Booker Prize winner known for works such as "The Narrow Road to the Deep North."
  • C. William Boyd
    William Boyd is a Scottish novelist and screenwriter acclaimed for his richly crafted literary fiction, including works such as "Any Human Heart" and "A Good Man in Africa."
  • D. William Boyd
    William Boyd was an American actor best known for portraying the cowboy hero Hopalong Cassidy in numerous films and early television.
  • E. David de Kretser
    David de Kretser is an Australian medical researcher and academic who served as the 27th Governor of Victoria.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876d48588190afec7722cca25633 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.