Triple

T4811007
Position Surface form Disambiguated ID Type / Status
Subject The Queen of Spades E107067 entity
Predicate principalCharacter P9202 FINISHED
Object Tomsky
Tomsky is a character in Alexander Pushkin’s novella "The Queen of Spades," known for recounting the mysterious tale of a secret winning card formula that drives the plot.
E474656 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: Tomsky | Statement: [The Queen of Spades, principalCharacter, Tomsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomsky
Context triple: [The Queen of Spades, principalCharacter, Tomsky]
  • A. Vyacheslav
    Vyacheslav is a masculine given name of Slavic origin, most notably borne by Soviet politician Vyacheslav Molotov.
  • B. Ilyich
    Ilyich is a Russian patronymic name meaning "son of Ilya," famously associated with Soviet leaders such as Vladimir Ilyich Lenin and Leonid Ilyich Brezhnev.
  • C. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • D. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • E. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • 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: Tomsky
Triple: [The Queen of Spades, principalCharacter, Tomsky]
Generated description
Tomsky is a character in Alexander Pushkin’s novella "The Queen of Spades," known for recounting the mysterious tale of a secret winning card formula that drives the plot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tomsky
Target entity description: Tomsky is a character in Alexander Pushkin’s novella "The Queen of Spades," known for recounting the mysterious tale of a secret winning card formula that drives the plot.
  • A. Vyacheslav
    Vyacheslav is a masculine given name of Slavic origin, most notably borne by Soviet politician Vyacheslav Molotov.
  • B. Ilyich
    Ilyich is a Russian patronymic name meaning "son of Ilya," famously associated with Soviet leaders such as Vladimir Ilyich Lenin and Leonid Ilyich Brezhnev.
  • C. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • D. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • E. Semyon
    Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c7b879081908e0c92a67422906e completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ca8c29081909701bfd4ea60586d completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be6127328c8190971ec1169f0d168d completed March 21, 2026, 9:13 a.m.
NED2 Entity disambiguation (via description) batch_69be61bfbc5081909c38ff65048c4ed0 completed March 21, 2026, 9:15 a.m.
Created at: March 20, 2026, 1:23 p.m.