Triple

T9549339
Position Surface form Disambiguated ID Type / Status
Subject Karen Shakhnazarov E230378 entity
Predicate name P16 FINISHED
Object Karen Shakhnazarov E230378 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: Karen Shakhnazarov | Statement: [Karen Shakhnazarov, name, Karen Shakhnazarov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Shakhnazarov
Context triple: [Karen Shakhnazarov, name, Karen Shakhnazarov]
  • A. Karen Shakhnazarov chosen
    Karen Shakhnazarov is a prominent Russian film director, screenwriter, and producer known for works such as "Courier" and "Ward No. 6" and for heading the Mosfilm studio.
  • B. Mary Woronov
    Mary Woronov is an American actress, writer, and artist closely associated with Andy Warhol’s Factory scene and known for her work in underground and cult films.
  • C. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • D. Olga Naumova
    Olga Naumova was the wife of renowned Russian-born conductor and double-bassist Serge Koussevitzky, accompanying him through the early part of his musical career.
  • E. Alexandra Yatsko
    Alexandra Yatsko is a film producer known for her work on the documentary "Love, Antosha."
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99059138819088ae54b26df979cf completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c82c98c8190a4fd6fc3ceb4173d completed April 4, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:02 p.m.