Triple

T2509114
Position Surface form Disambiguated ID Type / Status
Subject Olga Korbut E52657 entity
Predicate nickname P55 FINISHED
Object The Sparrow from Minsk E271823 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: The Sparrow from Minsk | Statement: [Olga Korbut, nickname, The Sparrow from Minsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sparrow from Minsk
Context triple: [Olga Korbut, nickname, The Sparrow from Minsk]
  • A. The Sparrow from Minsk chosen
    The Sparrow from Minsk is the famous Soviet gymnast Olga Korbut, renowned for her innovative, daring routines and multiple Olympic gold medals in the early 1970s.
  • B. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • C. The Russian Interpreter
    The Russian Interpreter is a comic novel by Michael Frayn that follows a hapless interpreter entangled in romantic and political misunderstandings in Soviet-era Moscow.
  • D. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • E. Perestrelo
    Perestrelo is a Portuguese surname historically associated with a noble family involved in early Atlantic exploration and linked by marriage to Christopher Columbus.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ec68dc8190aff3d1d2d68b9bcb completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8fa0d88190bc153a460091bcf1 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.