Triple

T3206902
Position Surface form Disambiguated ID Type / Status
Subject On Your Toes E67182 entity
Predicate originalCastMember P7010 FINISHED
Object Tamara Geva E46928 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: Tamara Geva | Statement: [On Your Toes, originalCastMember, Tamara Geva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamara Geva
Context triple: [On Your Toes, originalCastMember, Tamara Geva]
  • A. Tamara Geva chosen
    Tamara Geva was a Russian-American dancer and actress known for her early collaborations with choreographer George Balanchine and her influential work on Broadway and in modern ballet.
  • B. Tzila Segal
    Tzila Segal was the mother of Israeli Prime Minister Benjamin Netanyahu and part of a prominent Zionist family.
  • C. Claudia Finkelstein
    Claudia Finkelstein is a physician and academic known for her work in internal medicine and physician well-being.
  • D. Aviva Kempner
    Aviva Kempner is an American independent filmmaker and documentarian best known for her works exploring Jewish history, social justice, and overlooked cultural figures.
  • E. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa58340881908347d772cfa0ac4c completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33411537081908624477fca92296d completed March 12, 2026, 9:45 p.m.
Created at: March 8, 2026, 3:07 p.m.