Triple

T16929248
Position Surface form Disambiguated ID Type / Status
Subject Teatralnaya E410658 entity
Predicate architect P184 FINISHED
Object Yury Revkovsky
Yury Revkovsky is an architect known for designing the Teatralnaya metro station.
E1371925 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: Yury Revkovsky | Statement: [Teatralnaya, architect, Yury Revkovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yury Revkovsky
Context triple: [Teatralnaya, architect, Yury Revkovsky]
  • A. Yury Vdovin
    Yury Vdovin is an architect known for his work on the design of the VDNKh exhibition complex in Moscow.
  • B. Nikolay Urvantsev
    Nikolay Urvantsev was a prominent Soviet geologist and Arctic explorer known for his pioneering work in mapping and studying the geology of the Russian Far North.
  • C. Vladimir Shklyarov
    Vladimir Shklyarov is a renowned Russian ballet dancer and principal artist celebrated for his performances with the Mariinsky Ballet.
  • D. Mikhail Grigorenko
    Mikhail Grigorenko is a Russian professional ice hockey forward who was a highly touted NHL prospect and first-round draft pick known for his offensive skill and playmaking ability.
  • E. Sergei Udaltsov
    Sergei Udaltsov is a Russian left-wing opposition activist and politician known for organizing and leading anti-Kremlin protests, including the large-scale demonstrations following the 2011 parliamentary elections.
  • 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: Yury Revkovsky
Triple: [Teatralnaya, architect, Yury Revkovsky]
Generated description
Yury Revkovsky is an architect known for designing the Teatralnaya metro station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yury Revkovsky
Target entity description: Yury Revkovsky is an architect known for designing the Teatralnaya metro station.
  • A. Yury Vdovin
    Yury Vdovin is an architect known for his work on the design of the VDNKh exhibition complex in Moscow.
  • B. Nikolay Urvantsev
    Nikolay Urvantsev was a prominent Soviet geologist and Arctic explorer known for his pioneering work in mapping and studying the geology of the Russian Far North.
  • C. Vladimir Shklyarov
    Vladimir Shklyarov is a renowned Russian ballet dancer and principal artist celebrated for his performances with the Mariinsky Ballet.
  • D. Mikhail Grigorenko
    Mikhail Grigorenko is a Russian professional ice hockey forward who was a highly touted NHL prospect and first-round draft pick known for his offensive skill and playmaking ability.
  • E. Sergei Udaltsov
    Sergei Udaltsov is a Russian left-wing opposition activist and politician known for organizing and leading anti-Kremlin protests, including the large-scale demonstrations following the 2011 parliamentary elections.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf23873c8190bdc9121d6c3850e2 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0723ef338c819084b9f2d04aea4290 completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a07256bcabc819090f9a13046df763f completed May 15, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0726306be48190962cb5eebb214136 completed May 15, 2026, 1:57 p.m.
Created at: April 10, 2026, 5:30 a.m.