Triple

T1079698
Position Surface form Disambiguated ID Type / Status
Subject Pierre Bezukhov E23918 entity
Predicate hasPatronymic P7966 FINISHED
Object Kirillovich
Kirillovich is the Russian patronymic of Pierre Bezukhov, indicating he is the son of a man named Kirill.
E211111 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: Kirillovich | Statement: [Pierre Bezukhov, hasPatronymic, Kirillovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirillovich
Context triple: [Pierre Bezukhov, hasPatronymic, Kirillovich]
  • A. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • C. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • D. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • 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: Kirillovich
Triple: [Pierre Bezukhov, hasPatronymic, Kirillovich]
Generated description
Kirillovich is the Russian patronymic of Pierre Bezukhov, indicating he is the son of a man named Kirill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirillovich
Target entity description: Kirillovich is the Russian patronymic of Pierre Bezukhov, indicating he is the son of a man named Kirill.
  • A. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • C. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • D. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94509d08190964509ea4a2d7912 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab2f888819093d2b3e49b105802 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb330fe0819096ac927838b6ee2f completed March 8, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69adebb1d7748190b5cd33d163368eae completed March 8, 2026, 9:35 p.m.
Created at: March 1, 2026, 7:42 p.m.