Triple

T9045907
Position Surface form Disambiguated ID Type / Status
Subject Solaris (1972 film) E216754 entity
Predicate editingBy P1954 FINISHED
Object Ludmila Feiginova E775019 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: Ludmila Feiginova | Statement: [Solaris (1972 film), editingBy, Ludmila Feiginova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludmila Feiginova
Context triple: [Solaris (1972 film), editingBy, Ludmila Feiginova]
  • A. Lyudmila Feiginova chosen
    Lyudmila Feiginova is a Soviet film editor best known for her work on Sergei Bondarchuk’s epic adaptation of Leo Tolstoy’s "War and Peace" (1965–1967).
  • B. Tatyana Lioznova
    Tatyana Lioznova was a Soviet film and television director best known for her influential spy drama works and contributions to Russian cinema.
  • C. Galina Luchai
    Galina Luchai is a Soviet actress best known for her role in the classic 1970 film "White Sun of the Desert."
  • D. Svetlana Svetlichnaya
    Svetlana Svetlichnaya is a Soviet and Russian actress best known for her glamorous and seductive roles in classic Soviet cinema.
  • E. Galina Zmievskaya
    Galina Zmievskaya is a Ukrainian figure skating coach best known for training Olympic champion Oksana Baiul and other elite skaters.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e4d5f5008190a897b3b10b172592 completed April 5, 2026, 10:40 p.m.
Created at: March 30, 2026, 7:09 p.m.