Triple

T18177530
Position Surface form Disambiguated ID Type / Status
Subject Can You Ever Forgive Me? E435201 entity
Predicate character P662 FINISHED
Object Lee Israel 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: Lee Israel | Statement: [Can You Ever Forgive Me?, character, Lee Israel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Israel
Context triple: [Can You Ever Forgive Me?, character, Lee Israel]
  • A. Lee Israel chosen
    Lee Israel was an American biographer and literary forger best known for fabricating and selling forged letters from famous writers, a scandal later recounted in her memoir "Can You Ever Forgive Me?".
  • B. Youra Livchitz
    Youra Livchitz was a Belgian Jewish resistance fighter during World War II, best known for helping to stop a Nazi deportation train carrying Jews to Auschwitz in 1943.
  • C. Esther Levine
    Esther Levine was the wife of American humorist and television host Sam Levenson.
  • D. Mila Pfefferberg
    Mila Pfefferberg was a Holocaust survivor known for her and her husband Leopold Page’s role in preserving and sharing the story of Oskar Schindler and the Jews he saved.
  • E. Esther Raab
    Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5a72008190bd2e56205b995a87 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:31 a.m.