Triple

T21902032
Position Surface form Disambiguated ID Type / Status
Subject Moscow Does Not Believe in Tears E540832 entity
Predicate writer P1360 FINISHED
Object Valentin Chernykh 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: Valentin Chernykh | Statement: [Moscow Does Not Believe in Tears, writer, Valentin Chernykh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valentin Chernykh
Context triple: [Moscow Does Not Believe in Tears, writer, Valentin Chernykh]
  • A. Valentin Chernykh chosen
    Valentin Chernykh was a Soviet and Russian screenwriter best known for his work on acclaimed films of the late Soviet era.
  • B. Nikolai Chernykh
    Nikolai Chernykh was a Soviet astronomer known for his prolific discovery of minor planets and comets.
  • C. Igor Chernykh
    Igor Chernykh was a Soviet cinematographer best known for his work on classic Russian comedies and popular films of the 1960s and 1970s.
  • D. Klim Ivanovich Churyumov
    Klim Ivanovich Churyumov was a Ukrainian astronomer best known as the co-discoverer of the periodic comet 67P/Churyumov–Gerasimenko, the target of ESA’s Rosetta mission.
  • E. Eugene Izotov
    Eugene Izotov is a renowned classical oboist recognized as one of the leading orchestral and solo performers of his generation.
  • 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.