Triple

T4652539
Position Surface form Disambiguated ID Type / Status
Subject Yegor Gaidar E102328 entity
Predicate familyName P18 FINISHED
Object Gaidar
Gaidar is a Russian surname most prominently associated with Yegor Gaidar, the economist and politician who led key market reforms in post-Soviet Russia.
 E457966 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: Gaidar | Statement: [Yegor Gaidar, familyName, Gaidar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaidar
Context triple: [Yegor Gaidar, familyName, Gaidar]
  • A. Molodyozhnaya
    Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
  • B. Kadets
    Kadets were members of the Constitutional Democratic Party, a leading liberal political party in early 20th-century Imperial Russia that advocated constitutional monarchy, civil liberties, and parliamentary government.
  • C. Золотой Рог
    Золотой Рог — это бухта в Японском море у берегов Владивостока, являющаяся важным морским портом и одной из главных достопримечательностей города.
  • D. Горки
    Горки — это населённый пункт в Московской области России, известный как один из подмосковных посёлков с дачными и жилыми зонами.
  • E. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • 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: Gaidar
Triple: [Yegor Gaidar, familyName, Gaidar]
Generated description
Gaidar is a Russian surname most prominently associated with Yegor Gaidar, the economist and politician who led key market reforms in post-Soviet Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaidar
Target entity description: Gaidar is a Russian surname most prominently associated with Yegor Gaidar, the economist and politician who led key market reforms in post-Soviet Russia.
  • A. Molodyozhnaya
    Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
  • B. Kadets
    Kadets were members of the Constitutional Democratic Party, a leading liberal political party in early 20th-century Imperial Russia that advocated constitutional monarchy, civil liberties, and parliamentary government.
  • C. Золотой Рог
    Золотой Рог — это бухта в Японском море у берегов Владивостока, являющаяся важным морским портом и одной из главных достопримечательностей города.
  • D. Горки
    Горки — это населённый пункт в Московской области России, известный как один из подмосковных посёлков с дачными и жилыми зонами.
  • E. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6314883481908f085a7af497b0d8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaeb1ee081909ef641953bdf8df3 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfbc12acc8190b8116a6003abb3e3 completed March 21, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc44536c8190a71e52b0690a7570 completed March 21, 2026, 2:02 a.m.
Created at: March 20, 2026, 1:14 p.m.