Triple

T4172719
Position Surface form Disambiguated ID Type / Status
Subject Stanislav Shushkevich E86401 entity
Predicate givenName P17 FINISHED
Object Stanislav
Stanislav is a masculine given name of Slavic origin, commonly used in countries such as Russia, Poland, the Czech Republic, and Slovakia.
 E89797 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: Stanislav | Statement: [Stanislav Shushkevich, givenName, Stanislav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stanislav
Context triple: [Stanislav Shushkevich, givenName, Stanislav]
  • A. Stanislav Guoth
    Stanislav Guoth, better known as Stan Mikita, was a Slovak-born Canadian professional ice hockey player and Hall of Famer who became one of the Chicago Blackhawks’ greatest centers.
  • B. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • C. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • D. Vladislav
    Vladislav is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Pavel
    Pavel is a Slavic given name, equivalent to the English name Paul.
  • 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: Stanislav
Triple: [Stanislav Shushkevich, givenName, Stanislav]
Generated description
Stanislav is a masculine given name of Slavic origin, commonly used in countries such as Russia, Poland, the Czech Republic, and Slovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stanislav
Target entity description: Stanislav is a masculine given name of Slavic origin, commonly used in countries such as Russia, Poland, the Czech Republic, and Slovakia.
  • A. Stanislav Guoth
    Stanislav Guoth, better known as Stan Mikita, was a Slovak-born Canadian professional ice hockey player and Hall of Famer who became one of the Chicago Blackhawks’ greatest centers.
  • B. Stanislaw chosen
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • C. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • D. Vladislav
    Vladislav is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Pavel
    Pavel is a Slavic given name, equivalent to the English name Paul.
  • F. None of above.

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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e65b548190be095df62091b960 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f51cac88190b6e849181fb78938 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b5800ab42c8190a1bc6f84db38f170 completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5843d6ac88190804242661d077546 completed March 14, 2026, 3:52 p.m.
Created at: March 9, 2026, 3:45 p.m.