Triple

T19118402
Position Surface form Disambiguated ID Type / Status
Subject Princess Olga of Hanover and Cumberland E467971 entity
Predicate givenName P17 FINISHED
Object Olga NE NERFINISHED

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: [Princess Olga of Hanover and Cumberland, givenName, Olga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga
Context triple: [Princess Olga of Hanover and Cumberland, 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. Olga
    Olga is a lingerie and intimate apparel brand owned by PVH Corp., known for designing comfortable, supportive undergarments for women.
  • C. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c756a88190942930e6ae7242a7 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.