Triple

T14930014
Position Surface form Disambiguated ID Type / Status
Subject Ivan Alekseyevich E372234 entity
Predicate child P120 FINISHED
Object Anna of Russia E16436 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: Anna of Russia | Statement: [Ivan Alekseyevich, child, Anna of Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna of Russia
Context triple: [Ivan Alekseyevich, child, Anna of Russia]
  • A. Anna of Russia chosen
    Anna of Russia was Empress of Russia from 1730 to 1740, known for her autocratic rule, reliance on Baltic German advisers, and the continuation of Peter the Great’s westernizing policies.
  • B. Anna of Moscow
    Anna of Moscow was a Russian princess from the Grand Duchy of Moscow who became Byzantine empress consort through her marriage to Emperor John VIII Palaiologos.
  • C. Elizabeth of Russia
    Elizabeth of Russia was Empress of Russia from 1741 to 1762, known for her relatively peaceful reign, patronage of the arts and architecture, and strengthening of Russian culture and influence in Europe.
  • D. Sophia of Minsk
    Sophia of Minsk was a 12th-century princess of Kievan Rus' who became Queen consort of Denmark through her marriage to King Valdemar I.
  • E. Anna II
    Anna II is a character from the anime and manga series "The Seven Deadly Sins," appearing in its expanded universe materials rather than as a central figure in the main storyline.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001799fbac8190b75a48a8c63e3381 completed May 10, 2026, 5:28 a.m.
Created at: April 10, 2026, 2:36 a.m.