Triple

T5061046
Position Surface form Disambiguated ID Type / Status
Subject Stepan Arkadyevich Oblonsky E114021 entity
Predicate patronymic P7966 FINISHED
Object Arkadyevich
Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
E497854 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: Arkadyevich | Statement: [Stepan Arkadyevich Oblonsky, patronymic, Arkadyevich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arkadyevich
Context triple: [Stepan Arkadyevich Oblonsky, patronymic, Arkadyevich]
  • A. Alekseevich
    Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
  • B. Pavel Kutakhov
    Pavel Kutakhov was a prominent Soviet military aviator and Marshal of Aviation who served as Commander-in-Chief of the Soviet Air Forces during the Cold War.
  • C. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Konstantin Vershinin
    Konstantin Vershinin was a prominent Soviet military leader who served as a senior commander of the Soviet Air Forces during and after World War II.
  • 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: Arkadyevich
Triple: [Stepan Arkadyevich Oblonsky, patronymic, Arkadyevich]
Generated description
Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arkadyevich
Target entity description: Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
  • A. Alekseevich
    Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
  • B. Pavel Kutakhov
    Pavel Kutakhov was a prominent Soviet military aviator and Marshal of Aviation who served as Commander-in-Chief of the Soviet Air Forces during the Cold War.
  • C. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Konstantin Vershinin
    Konstantin Vershinin was a prominent Soviet military leader who served as a senior commander of the Soviet Air Forces during and after World War II.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74740ae08190930f1fd57187334e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfb9bcf48190acac2714c25de725 completed March 21, 2026, 5:04 p.m.
NEDg Description generation batch_69bed05af0808190968e38f37b3bfad6 completed March 21, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_69bed1013fe88190b76855a042226359 completed March 21, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:38 p.m.