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.