Triple

T11774239
Position Surface form Disambiguated ID Type / Status
Subject Paulie E279975 entity
Predicate featuresCharacter P626 FINISHED
Object Misha Vilyenkov
Misha Vilyenkov is a character appearing in the context of the work or setting associated with Paulie.
E1279859 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: Misha Vilyenkov | Statement: [Paulie, featuresCharacter, Misha Vilyenkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misha Vilyenkov
Context triple: [Paulie, featuresCharacter, Misha Vilyenkov]
  • A. Zhenya Lukashin
    Zhenya Lukashin is the hapless, mild-mannered Moscow doctor whose drunken New Year’s Eve misadventure drives the plot of the classic Soviet romantic comedy “The Irony of Fate.”
  • B. Matvey Kazakov
    Matvey Kazakov was a prominent 18th-century Russian neoclassical architect known for shaping Moscow’s architectural landscape under Catherine the Great.
  • C. Aleksandr Mikhailov
    Aleksandr Mikhailov was a Russian revolutionary and key member of the 19th-century radical organization Narodnaya Volya, involved in the movement against Tsarist autocracy.
  • D. Andrei Voronkov
    Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
  • E. Mikhail Khozin
    Mikhail Khozin was a Soviet military commander and general who played a significant leadership role on the Eastern Front during 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: Misha Vilyenkov
Triple: [Paulie, featuresCharacter, Misha Vilyenkov]
Generated description
Misha Vilyenkov is a character appearing in the context of the work or setting associated with Paulie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Misha Vilyenkov
Target entity description: Misha Vilyenkov is a character appearing in the context of the work or setting associated with Paulie.
  • A. Zhenya Lukashin
    Zhenya Lukashin is the hapless, mild-mannered Moscow doctor whose drunken New Year’s Eve misadventure drives the plot of the classic Soviet romantic comedy “The Irony of Fate.”
  • B. Matvey Kazakov
    Matvey Kazakov was a prominent 18th-century Russian neoclassical architect known for shaping Moscow’s architectural landscape under Catherine the Great.
  • C. Aleksandr Mikhailov
    Aleksandr Mikhailov was a Russian revolutionary and key member of the 19th-century radical organization Narodnaya Volya, involved in the movement against Tsarist autocracy.
  • D. Andrei Voronkov
    Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
  • E. Mikhail Khozin
    Mikhail Khozin was a Soviet military commander and general who played a significant leadership role on the Eastern Front during 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55f415081908eec78cb2c956598 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a7c08288190bbaabd03dffa0ab8 completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020b81c0e88190af61ea1a3b89fe8a completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020cc2de908190ae82be94c0d9c1a0 completed May 11, 2026, 5:07 p.m.
Created at: April 8, 2026, 9:41 p.m.