Triple

T4535376
Position Surface form Disambiguated ID Type / Status
Subject Anna Leopoldovna E107395 entity
Predicate grandmother P3524 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: [Anna Leopoldovna, grandmother, Praskovia Saltykova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praskovia Saltykova
Context triple: [Anna Leopoldovna, grandmother, 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b634b08190845d04213cf8d5b9 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacf016d0819080665256c84d37a3 completed March 20, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:04 p.m.