Triple

T15088067
Position Surface form Disambiguated ID Type / Status
Subject Boris Pasternak E360333 entity
Predicate childOf P120 FINISHED
Object Rosa Kaufman E360333 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: Rosa Kaufman | Statement: [Boris Pasternak, childOf, Rosa Kaufman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosa Kaufman
Context triple: [Boris Pasternak, childOf, Rosa Kaufman]
  • A. Rosa Kaufman chosen
    Rosa Kaufman was a Russian pianist and music teacher best known as the mother of Nobel Prize–winning writer Boris Pasternak.
  • B. Wanda Gershwitz
    Wanda Gershwitz is the seductive, cunning con artist at the center of the comedy film "A Fish Called Wanda," known for manipulating everyone around her to get her hands on stolen diamonds.
  • C. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • D. Rosa Stern
    Rosa Stern was the maternal grandmother of Anne Frank and the mother of Edith Holländer, belonging to a German-Jewish family.
  • E. Tatia Rosenthal
    Tatia Rosenthal is an Israeli-born film director and animator best known for her stop-motion feature "9.99$" and her work in independent animation.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00276d1608190bc310d5b86ecd1d5 completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3647bda881909a83311926096a29 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:03 a.m.