Triple

T21467446
Position Surface form Disambiguated ID Type / Status
Subject Farewell Waltz E529627 entity
Predicate character P662 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: [Farewell Waltz, character, Olga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga
Context triple: [Farewell Waltz, character, 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f415d48190a2b0993a4f3c018f completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:14 p.m.