Triple

T16028563
Position Surface form Disambiguated ID Type / Status
Subject Vsevolod I of Kiev E388782 entity
Predicate spouse P13 FINISHED
Object Anna Polovetskaya E388782 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 Polovetskaya | Statement: [Vsevolod I of Kiev, spouse, Anna Polovetskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Polovetskaya
Context triple: [Vsevolod I of Kiev, spouse, Anna Polovetskaya]
  • A. Anna Polovetskaya chosen
    Anna Polovetskaya was a Kievan Rus' princess of Cuman origin who became Grand Princess of Kiev through her marriage to Grand Prince Vsevolod I.
  • B. Anna Koltovskaya
    Anna Koltovskaya was a Russian noblewoman best known as one of the later wives of Tsar Ivan IV (Ivan the Terrible) of Russia.
  • C. Anna Astrakhantseva
    Anna Astrakhantseva is an actress known for her role in the film "Two Women."
  • D. Galina Polskikh
    Galina Polskikh is a Soviet and Russian film actress best known for her leading roles in classic 1960s dramas such as "The Wild Dog Dingo" and "Walking the Streets of Moscow."
  • E. Elena Bulgakova
    Elena Bulgakova was the third wife and literary executor of Russian writer Mikhail Bulgakov, known for preserving and promoting his works after his death.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183294984819080b8727a3511a21b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb867ae88190945af88247d4c80b completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:56 a.m.