Triple

T1034382
Position Surface form Disambiguated ID Type / Status
Subject Tatiana Nikolaevna of Russia E22326 entity
Predicate givenName P17 FINISHED
Object Tatiana E68776 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: Tatiana | Statement: [Tatiana Nikolaevna of Russia, givenName, Tatiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatiana
Context triple: [Tatiana Nikolaevna of Russia, givenName, Tatiana]
  • A. Tatyana chosen
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • B. Anastasia Shubskaya
    Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
  • C. Anastasia Virganskaya
    Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
  • D. Natalia Sedova
    Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
  • E. Nadezhda Vasilyeva
    Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b814c16c8190ac4d20feecdadbae completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89f9d7688190836459b2453e5e2b completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:41 p.m.