Triple

T15575976
Position Surface form Disambiguated ID Type / Status
Subject Yandex E374370 entity
Predicate foundedBy P104 FINISHED
Object Ilya Segalovich
Ilya Segalovich was a Russian computer scientist and entrepreneur best known as the co-founder and chief technology officer of the Yandex search engine.
 E1242233 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: Ilya Segalovich | Statement: [Yandex, foundedBy, Ilya Segalovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilya Segalovich
Context triple: [Yandex, foundedBy, Ilya Segalovich]
  • A. Pavel Shteller
    Pavel Shteller was a Soviet architect best known for designing prominent Stalin-era buildings in Moscow.
  • B. Sergei Brylin
    Sergei Brylin is a former Russian professional ice hockey forward best known for his long NHL career with the New Jersey Devils, with whom he won three Stanley Cup championships.
  • C. Oleg Itskhoki
    Oleg Itskhoki is a prominent economist known for his research on international economics, exchange rates, and labor markets.
  • D. Leonid Snegoff
    Leonid Snegoff was an actor known for his role in the 1959 Soviet comedy film "The Wedding Night."
  • E. Sergei Berezin
    Sergei Berezin is a former Russian professional ice hockey forward best known for his scoring prowess in the NHL during the late 1990s and early 2000s.
  • 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: Ilya Segalovich
Triple: [Yandex, foundedBy, Ilya Segalovich]
Generated description
Ilya Segalovich was a Russian computer scientist and entrepreneur best known as the co-founder and chief technology officer of the Yandex search engine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilya Segalovich
Target entity description: Ilya Segalovich was a Russian computer scientist and entrepreneur best known as the co-founder and chief technology officer of the Yandex search engine.
  • A. Pavel Shteller
    Pavel Shteller was a Soviet architect best known for designing prominent Stalin-era buildings in Moscow.
  • B. Sergei Brylin
    Sergei Brylin is a former Russian professional ice hockey forward best known for his long NHL career with the New Jersey Devils, with whom he won three Stanley Cup championships.
  • C. Oleg Itskhoki
    Oleg Itskhoki is a prominent economist known for his research on international economics, exchange rates, and labor markets.
  • D. Leonid Snegoff
    Leonid Snegoff was an actor known for his role in the 1959 Soviet comedy film "The Wedding Night."
  • E. Sergei Berezin
    Sergei Berezin is a former Russian professional ice hockey forward best known for his scoring prowess in the NHL during the late 1990s and early 2000s.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfb725d48190bdca0a85ca7f440c completed May 10, 2026, 6:34 p.m.
NEDg Description generation batch_6a00d1a88c188190bde3fe3c01efb453 completed May 10, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_6a00d20ae52c8190b4c45af68aa40399 completed May 10, 2026, 6:44 p.m.
Created at: April 10, 2026, 4:10 a.m.