Triple

T19810026
Position Surface form Disambiguated ID Type / Status
Subject Anatoly Dobrynin E475917 entity
Predicate familyName P18 FINISHED
Object Dobrynin
Dobrynin is a Russian surname most prominently associated with Anatoly Dobrynin, the long-serving Soviet ambassador to the United States during the Cold War.
 E1397659 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: Dobrynin | Statement: [Anatoly Dobrynin, familyName, Dobrynin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dobrynin
Context triple: [Anatoly Dobrynin, familyName, Dobrynin]
  • A. Dobryninskaya
    Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
  • B. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • C. Khokhlov
    Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
  • D. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • E. Grusinskaya
    Grusinskaya is a fading but still celebrated Russian ballerina whose loneliness and vulnerability are central to the drama of the film "Grand Hotel."
  • 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: Dobrynin
Triple: [Anatoly Dobrynin, familyName, Dobrynin]
Generated description
Dobrynin is a Russian surname most prominently associated with Anatoly Dobrynin, the long-serving Soviet ambassador to the United States during the Cold War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dobrynin
Target entity description: Dobrynin is a Russian surname most prominently associated with Anatoly Dobrynin, the long-serving Soviet ambassador to the United States during the Cold War.
  • A. Dobryninskaya
    Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
  • B. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • C. Khokhlov
    Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
  • D. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • E. Grusinskaya
    Grusinskaya is a fading but still celebrated Russian ballerina whose loneliness and vulnerability are central to the drama of the film "Grand Hotel."
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542ac1b48190a0cb69dbceca74da completed April 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccc8465881909dbba58e4f1a8680 completed May 16, 2026, 1:47 a.m.
NEDg Description generation batch_6a07d0a638c0819096e73bf455e7aa68 completed May 16, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_6a07d178d6588190afe30714145ee97f completed May 16, 2026, 2:07 a.m.
Created at: April 10, 2026, 1:50 p.m.