Triple

T11567895
Position Surface form Disambiguated ID Type / Status
Subject Alexander Gorsky E274302 entity
Predicate familyName P18 FINISHED
Object Gorsky
Gorsky is a Russian surname most notably associated with Alexander Gorsky, an influential early 20th-century ballet master and choreographer of the Bolshoi Theatre.
 E933857 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: Gorsky | Statement: [Alexander Gorsky, familyName, Gorsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gorsky
Context triple: [Alexander Gorsky, familyName, Gorsky]
  • A. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • B. Gorenko
    Gorenko is the original family surname of the renowned Russian poet Anna Akhmatova.
  • C. Shchors
    Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
  • D. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • E. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • 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: Gorsky
Triple: [Alexander Gorsky, familyName, Gorsky]
Generated description
Gorsky is a Russian surname most notably associated with Alexander Gorsky, an influential early 20th-century ballet master and choreographer of the Bolshoi Theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gorsky
Target entity description: Gorsky is a Russian surname most notably associated with Alexander Gorsky, an influential early 20th-century ballet master and choreographer of the Bolshoi Theatre.
  • A. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • B. Gorenko
    Gorenko is the original family surname of the renowned Russian poet Anna Akhmatova.
  • C. Shchors
    Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
  • D. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • E. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8c9a22c8190812c64b9f305ae99 completed April 21, 2026, 3:02 a.m.
NEDg Description generation batch_69e6ef9631e48190aef47bba9ad611e8 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f94ac2d0819098a3024eaab908b5 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.