Triple

T19731436
Position Surface form Disambiguated ID Type / Status
Subject Anna Karenina E473862 entity
Predicate hasChild P369 FINISHED
Object Sergei Karenin 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: Sergei Karenin | Statement: [Anna Karenina, hasChild, Sergei Karenin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergei Karenin
Context triple: [Anna Karenina, hasChild, Sergei Karenin]
  • A. Alexei Alexandrovich Karenin
    Alexei Alexandrovich Karenin is a high-ranking, emotionally reserved government official in Leo Tolstoy’s novel "Anna Karenina," known primarily as Anna’s older, conservative husband whose rigid morality contrasts with her passionate nature.
  • B. Sergei Alexeyich Karenin chosen
    Sergei Alexeyich Karenin is the young son of Alexei Karenin and Anna Karenina in Leo Tolstoy’s novel "Anna Karenina."
  • C. Alexander Trepov
    Alexander Trepov was a Russian statesman who briefly served as prime minister of the Russian Empire in the turbulent final years before the 1917 Revolution.
  • D. Alexey A. Petrukhin
    Alexey A. Petrukhin is a Russian film producer, director, and screenwriter known for his work on action and genre cinema.
  • E. Aleksei Serebryakov
    Aleksei Serebryakov is a Russian actor known for his intense performances in film and television, including prominent roles in both Russian cinema and international productions.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649fd18148190a6e85b2be0069dde completed April 20, 2026, 3:45 p.m.
Created at: April 10, 2026, 1:47 p.m.