Triple

T21902036
Position Surface form Disambiguated ID Type / Status
Subject Moscow Does Not Believe in Tears E540832 entity
Predicate editedBy P1954 FINISHED
Object Valentina Kulagina 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: Valentina Kulagina | Statement: [Moscow Does Not Believe in Tears, editedBy, Valentina Kulagina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valentina Kulagina
Context triple: [Moscow Does Not Believe in Tears, editedBy, Valentina Kulagina]
  • A. Valentina Kulagina chosen
    Valentina Kulagina was a Soviet avant-garde artist and graphic designer known for her constructivist posters and political propaganda work in the early 20th century.
  • B. Valentina Serova
    Valentina Serova was the mother of renowned Russian painter Valentin Serov and a notable Russian pianist and composer in her own right.
  • C. Valentina Yankovskaya
    Valentina Yankovskaya is a Soviet film editor best known for her work on the classic comedy "The Diamond Arm."
  • D. Valentina Mironova
    Valentina Mironova is a Soviet film editor best known for her work on the Academy Award–winning film "Moscow Does Not Believe in Tears" (1980).
  • E. Lyubov Sokolova
    Lyubov Sokolova was a prominent Soviet and Russian film and theater actress known for her character roles in many classic Soviet movies.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d2d63c819090e115708aa4dbf8 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:21 p.m.