Triple

T19719935
Position Surface form Disambiguated ID Type / Status
Subject V. Volodarsky E473579 entity
Predicate familyName P18 FINISHED
Object Volodarsky
Volodarsky is a Russian-language surname borne by several notable figures, including revolutionaries, politicians, and artists from the former Soviet sphere.
 E1391376 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: Volodarsky | Statement: [V. Volodarsky, familyName, Volodarsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Volodarsky
Context triple: [V. Volodarsky, familyName, Volodarsky]
  • A. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • B. Levin
    Levin is a masculine given name of Germanic origin, historically borne by figures such as the Russian general Levin August von Bennigsen.
  • C. Levin
    Levin is a surname of Jewish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • D. Levin
    Levin is a town in New Zealand’s North Island known as a service and retail hub for the surrounding agricultural Horowhenua district.
  • E. Kleinburg
    Kleinburg is a historic, affluent village within the city of Vaughan, Ontario, known for its charming main street and the McMichael Canadian Art Collection.
  • 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: Volodarsky
Triple: [V. Volodarsky, familyName, Volodarsky]
Generated description
Volodarsky is a Russian-language surname borne by several notable figures, including revolutionaries, politicians, and artists from the former Soviet sphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Volodarsky
Target entity description: Volodarsky is a Russian-language surname borne by several notable figures, including revolutionaries, politicians, and artists from the former Soviet sphere.
  • A. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • B. Levin
    Levin is a surname of Jewish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • C. Levin
    Levin is a masculine given name of Germanic origin, historically borne by figures such as the Russian general Levin August von Bennigsen.
  • D. Levin
    Levin is a town in New Zealand’s North Island known as a service and retail hub for the surrounding agricultural Horowhenua district.
  • E. Kleinburg
    Kleinburg is a historic, affluent village within the city of Vaughan, Ontario, known for its charming main street and the McMichael Canadian Art Collection.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64410e5548190b60e13603b6c0053 completed April 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07aba543908190a30c61bf4406ea74 completed May 15, 2026, 11:26 p.m.
NEDg Description generation batch_6a07acc9e5488190ba55f47af118fca2 completed May 15, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_6a07ad8aefc4819098768025121123ba completed May 15, 2026, 11:34 p.m.
Created at: April 10, 2026, 1:46 p.m.