Triple

T6995091
Position Surface form Disambiguated ID Type / Status
Subject Viktor Sadovnichiy E162190 entity
Predicate familyName P18 FINISHED
Object Sadovnichiy
Sadovnichiy is the surname of Viktor Sadovnichiy, a prominent Russian mathematician and long-serving rector of Moscow State University.
 E634410 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: Sadovnichiy | Statement: [Viktor Sadovnichiy, familyName, Sadovnichiy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sadovnichiy
Context triple: [Viktor Sadovnichiy, familyName, Sadovnichiy]
  • A. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • B. Luchistoye
    Luchistoye is a village in Crimea situated at the foot of the Demerdzhi mountain massif, known for its scenic landscapes and proximity to popular hiking and nature spots.
  • C. Vyazniki
    Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
  • D. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • E. Molodyozhnaya
    Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
  • 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: Sadovnichiy
Triple: [Viktor Sadovnichiy, familyName, Sadovnichiy]
Generated description
Sadovnichiy is the surname of Viktor Sadovnichiy, a prominent Russian mathematician and long-serving rector of Moscow State University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sadovnichiy
Target entity description: Sadovnichiy is the surname of Viktor Sadovnichiy, a prominent Russian mathematician and long-serving rector of Moscow State University.
  • A. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • B. Luchistoye
    Luchistoye is a village in Crimea situated at the foot of the Demerdzhi mountain massif, known for its scenic landscapes and proximity to popular hiking and nature spots.
  • C. Vyazniki
    Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
  • D. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • E. Molodyozhnaya
    Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbec259c8190bb4cfbc1ff6fc786 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a1fa11481908450978acc1e0913 completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76b84f5688190a0aef7cd8695c6b0 completed March 28, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69c76be95ecc8190a57ff197f236d434 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:32 p.m.