Triple

T11373424
Position Surface form Disambiguated ID Type / Status
Subject Georgy Zakharov E269401 entity
Predicate familyName P18 FINISHED
Object Zakharov
Zakharov is a Russian surname borne by numerous notable figures in fields such as the military, science, and the arts.
 E921993 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: Zakharov | Statement: [Georgy Zakharov, familyName, Zakharov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zakharov
Context triple: [Georgy Zakharov, familyName, Zakharov]
  • A. Shlyapnikov
    Shlyapnikov is a Russian surname most notably associated with Alexander Shlyapnikov, a prominent early 20th-century Bolshevik revolutionary and labor leader.
  • B. Firsov
    Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
  • C. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • D. Nagaev
    Nagaev is the person after whom Nagaev Bay in Russia was named, likely a historical figure associated with the region’s exploration or development.
  • E. Novikov
    Novikov is a common Russian surname borne by numerous notable figures in fields such as mathematics, physics, literature, and the military.
  • 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: Zakharov
Triple: [Georgy Zakharov, familyName, Zakharov]
Generated description
Zakharov is a Russian surname borne by numerous notable figures in fields such as the military, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zakharov
Target entity description: Zakharov is a Russian surname borne by numerous notable figures in fields such as the military, science, and the arts.
  • A. Shlyapnikov
    Shlyapnikov is a Russian surname most notably associated with Alexander Shlyapnikov, a prominent early 20th-century Bolshevik revolutionary and labor leader.
  • B. Firsov
    Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
  • C. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • D. Nagaev
    Nagaev is the person after whom Nagaev Bay in Russia was named, likely a historical figure associated with the region’s exploration or development.
  • E. Novikov
    Novikov is a common Russian surname borne by numerous notable figures in fields such as mathematics, physics, literature, and the military.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8d244c8190b865260338edb532 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568e3e108190ab843236b417f150 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.