Triple

T15161809
Position Surface form Disambiguated ID Type / Status
Subject Samuel Skavronsky E362235 entity
Predicate familyName P18 FINISHED
Object Skavronsky
Skavronsky is a surname most notably associated with individuals such as Samuel Skavronsky.
 E1139790 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: Skavronsky | Statement: [Samuel Skavronsky, familyName, Skavronsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skavronsky
Context triple: [Samuel Skavronsky, familyName, Skavronsky]
  • 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. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • C. 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.
  • D. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • E. Svetlanovsky
    Svetlanovsky is a rural locality within Russia’s Vyborgsky District, known primarily as a small settlement in the Leningrad Oblast region.
  • 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: Skavronsky
Triple: [Samuel Skavronsky, familyName, Skavronsky]
Generated description
Skavronsky is a surname most notably associated with individuals such as Samuel Skavronsky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skavronsky
Target entity description: Skavronsky is a surname most notably associated with individuals such as Samuel Skavronsky.
  • 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. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • C. 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.
  • D. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • E. Svetlanovsky
    Svetlanovsky is a rural locality within Russia’s Vyborgsky District, known primarily as a small settlement in the Leningrad Oblast region.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060f2efc8190aa0eb5fb8d4ce085 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffc94e48190844e226c245a9ce3 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec1b27c5c8190b3b81cd10b11e973 completed May 9, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69fec24105a48190a698de2b380f4dbc completed May 9, 2026, 5:12 a.m.
Created at: April 10, 2026, 3:08 a.m.