Triple
T21297583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyudmila Ulitskaya |
E524964
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sonechka
"Sonechka" is a novella by Russian author Lyudmila Ulitskaya that explores love, art, and the quiet sacrifices of a bookish woman over the course of her life.
|
E1479047
|
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: Sonechka | Statement: [Lyudmila Ulitskaya, notableWork, Sonechka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonechka Context triple: [Lyudmila Ulitskaya, notableWork, Sonechka]
-
A.
Medveditsa
Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
-
B.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
-
C.
Mishaninskaya
Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
-
D.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
E.
Dobryninskaya
Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
- 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: Sonechka Triple: [Lyudmila Ulitskaya, notableWork, Sonechka]
Generated description
"Sonechka" is a novella by Russian author Lyudmila Ulitskaya that explores love, art, and the quiet sacrifices of a bookish woman over the course of her life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonechka Target entity description: "Sonechka" is a novella by Russian author Lyudmila Ulitskaya that explores love, art, and the quiet sacrifices of a bookish woman over the course of her life.
-
A.
Medveditsa
Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
-
B.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
-
C.
Mishaninskaya
Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
-
D.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
E.
Dobryninskaya
Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385968308190bc9fe5c2bd4598e6 |
completed | April 21, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5b1b5e48190b94a1ee4b6ab0d8a |
completed | May 17, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_6a09a6848c1c8190992ae7cdfeabdcf8 |
completed | May 17, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09aae23f2c81908f08d290277e22f9 |
completed | May 17, 2026, 11:47 a.m. |
Created at: April 16, 2026, 4:04 p.m.