Triple

T4424380
Position Surface form Disambiguated ID Type / Status
Subject Nosek E95175 entity
Predicate hasVariant P455 FINISHED
Object Nosková
Nosková is a Czech surname, typically the feminine form of the surname Nosek.
 E437189 NE FINISHED

How this triple was built (4 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: Nosková | Statement: [Nosek, hasVariant, Nosková]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nosková
Context triple: [Nosek, hasVariant, Nosková]
  • A. Saltykova
    Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
  • B. Sedova
    Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
  • C. Miková
    Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
  • D. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • E. Bozova
    Bozova is a town and district in Şanlıurfa Province in southeastern Turkey, situated near the massive Atatürk Dam on the Euphrates River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nosková
Triple: [Nosek, hasVariant, Nosková]
Generated description
Nosková is a Czech surname, typically the feminine form of the surname Nosek.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nosková
Target entity description: Nosková is a Czech surname, typically the feminine form of the surname Nosek.
  • A. Saltykova
    Saltykova is a Russian surname most notoriously associated with Darya Saltykova, an 18th-century noblewoman and serial killer.
  • B. Sedova
    Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
  • C. Miková
    Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
  • D. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • E. Bozova
    Bozova is a town and district in Şanlıurfa Province in southeastern Turkey, situated near the massive Atatürk Dam on the Euphrates River.
  • F. None of above. chosen

Provenance (5 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554ca5208190ba2661616dcf071c completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f62f7eb88190a02669845126e790 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6c8a58481908d7bd3d4cfaf265c completed March 15, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69b5f73f38d481908ad44dfd33de85ca completed March 15, 2026, 12:03 a.m.
Created at: March 12, 2026, 11:30 p.m.