Triple

T6289934
Position Surface form Disambiguated ID Type / Status
Subject Olga Pavlovna of Russia E140990 entity
Predicate givenName P17 FINISHED
Object Olga E136344 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 | Statement: [Olga Pavlovna of Russia, givenName, Olga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga
Context triple: [Olga Pavlovna of Russia, givenName, Olga]
  • A. Olga chosen
    Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
  • B. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Olga Lysova
    Olga Lysova is a Russian woman best known as the first wife of billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
  • D. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • E. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0641a6ecc8190a63be0e3f0344a3f completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d50184a081908286d92166fd1c00 completed March 27, 2026, 7:05 p.m.
Created at: March 22, 2026, 4:26 p.m.