Triple

T4858470
Position Surface form Disambiguated ID Type / Status
Subject Catherine Ivanovna of Russia E108594 entity
Predicate mother P120 FINISHED
Object Praskovia Saltykova E97009 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: Praskovia Saltykova | Statement: [Catherine Ivanovna of Russia, mother, Praskovia Saltykova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praskovia Saltykova
Context triple: [Catherine Ivanovna of Russia, mother, Praskovia Saltykova]
  • A. Praskovia Saltykova chosen
    Praskovia Saltykova was a Russian noblewoman and tsarevna consort best known as the wife of Tsar Ivan V and the mother of Empress Anna of Russia.
  • B. Martha Apraksina
    Martha Apraksina was a Russian noblewoman best known as the second wife of Tsar Feodor III of Russia.
  • C. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • D. Praskovya Fyodorovna
    Praskovya Fyodorovna is the self-absorbed and socially preoccupied wife of the dying judge in Leo Tolstoy’s novella "The Death of Ivan Ilyich," embodying the superficiality and moral emptiness of the society around him.
  • E. Ulitsa Skobelevskaya
    Ulitsa Skobelevskaya is a Moscow Metro station serving the Butovskaya Line in the southern part of Moscow, Russia.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5b2f008190a5fd11d3aec165fb completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba4d76808190843622211d1eac6f completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:26 p.m.