Triple

T5713173
Position Surface form Disambiguated ID Type / Status
Subject Yentl (1983 film) E125958 entity
Predicate starred P5563 FINISHED
Object Nehemiah Persoff E270769 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: Nehemiah Persoff | Statement: [Yentl (1983 film), starred, Nehemiah Persoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nehemiah Persoff
Context triple: [Yentl (1983 film), starred, Nehemiah Persoff]
  • A. Nehemiah Persoff chosen
    Nehemiah Persoff was an American character actor known for his prolific film and television career from the 1940s through the 1990s, often portraying intense, authoritative, or villainous roles.
  • B. Hillel Hassenfeld
    Hillel Hassenfeld was an American businessman best known as a co-founder of the toy and board game company that became Hasbro.
  • C. Nahum Gelber
    Nahum Gelber was a Canadian lawyer, philanthropist, and community leader known for his significant contributions to legal education and Jewish cultural and charitable institutions.
  • D. Zalman Ehrlich
    Zalman Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
  • E. Yitzhak Zuckerman
    Yitzhak Zuckerman was a prominent leader of the Jewish resistance in the Warsaw Ghetto Uprising during World War II and later a key figure in preserving its history.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11ca111188190932a17a2fab097c7 completed March 23, 2026, 10:57 a.m.
Created at: March 22, 2026, 3:46 p.m.