Triple

T15138295
Position Surface form Disambiguated ID Type / Status
Subject Olga of Kiev E361614 entity
Predicate alsoKnownAs P39 FINISHED
Object Olga Prekrasa E361614 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: Olga Prekrasa | Statement: [Olga of Kiev, alsoKnownAs, Olga Prekrasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga Prekrasa
Context triple: [Olga of Kiev, alsoKnownAs, Olga Prekrasa]
  • A. Olga Prekrasa chosen
    Olga Prekrasa, better known as Olga of Kiev, was a 10th-century regent of Kievan Rus' renowned for her dramatic vengeance against the Drevlians and later venerated as a saint for her early adoption and promotion of Christianity in the region.
  • B. Olga Pogodina
    Olga Pogodina is a Russian film and television actress known for her roles in historical dramas and popular TV series.
  • C. Olga Rist
    Olga Rist was the mother of Chilean right-wing politician José Antonio Kast and a member of a German immigrant family in Chile.
  • D. Tereza Srbova
    Tereza Srbova is a Czech-born actress and model known for her roles in international films and television, often portraying enigmatic or sophisticated characters.
  • E. Olga Baclanova
    Olga Baclanova was a Russian-born actress known for her vamp and villainess roles in late silent and early sound films, including the cult classic "Freaks."
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b59b488190b0016970647e7483 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfea8e3081909551a8e3936c13a6 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.