Triple
T23454121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonya |
E567870
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Serebryakova
Serebryakova is a Russian surname most notably associated with the painter Zinaida Serebriakova and her artistic family.
|
E1591186
|
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: Serebryakova | Statement: [Sonya, familyName, Serebryakova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serebryakova Context triple: [Sonya, familyName, Serebryakova]
-
A.
Shcherbatskaya
Shcherbatskaya is the surname of Ekaterina Alexandrovna, a fictional Russian noblewoman featured in Leo Tolstoy’s novel "Anna Karenina."
-
B.
Darya Saltykova
Darya Saltykova was an 18th-century Russian noblewoman and notorious serial killer infamous for torturing and murdering numerous serfs on her estate.
-
C.
Khodchenkova
Khodchenkova is the surname of Russian actress Svetlana Khodchenkova, known for her work in both Russian cinema and international films.
-
D.
Lukyanova
Lukyanova is a Russian feminine surname derived from the masculine form Lukyanov.
-
E.
Zaitseva
Zaitseva is a common Russian feminine surname derived from the masculine form Zaitsev.
- 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: Serebryakova Triple: [Sonya, familyName, Serebryakova]
Generated description
Serebryakova is a Russian surname most notably associated with the painter Zinaida Serebriakova and her artistic family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Serebryakova Target entity description: Serebryakova is a Russian surname most notably associated with the painter Zinaida Serebriakova and her artistic family.
-
A.
Shcherbatskaya
Shcherbatskaya is the surname of Ekaterina Alexandrovna, a fictional Russian noblewoman featured in Leo Tolstoy’s novel "Anna Karenina."
-
B.
Darya Saltykova
Darya Saltykova was an 18th-century Russian noblewoman and notorious serial killer infamous for torturing and murdering numerous serfs on her estate.
-
C.
Khodchenkova
Khodchenkova is the surname of Russian actress Svetlana Khodchenkova, known for her work in both Russian cinema and international films.
-
D.
Lukyanova
Lukyanova is a Russian feminine surname derived from the masculine form Lukyanov.
-
E.
Zaitseva
Zaitseva is a common Russian feminine surname derived from the masculine form Zaitsev.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a695fed08190bfa160e69200546d |
completed | April 29, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf3999548190bde08aaa2673d58a |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0ce15fd1ec81909d678480e2820dec |
completed | May 19, 2026, 10:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce1bcd440819087344b83bb0ac0e8 |
completed | May 19, 2026, 10:18 p.m. |
Created at: April 17, 2026, 5:53 p.m.