Triple
T23310276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semyon Bychkov |
E590564
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bychkov
Bychkov is a Russian surname borne by various notable figures in fields such as music, sports, and the military.
|
E1580028
|
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: Bychkov | Statement: [Semyon Bychkov, familyName, Bychkov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bychkov Context triple: [Semyon Bychkov, familyName, Bychkov]
-
A.
Bykov
Bykov is a character in Fyodor Dostoevsky’s epistolary novel "Poor Folk," representing part of the social milieu surrounding the impoverished protagonists.
-
B.
Bykovsky
Bykovsky is a rural locality (selo) in the Bulunsky District of the Sakha Republic, Russia, situated in the Arctic region along the Lena River.
-
C.
Chebutykin
Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
-
D.
Surovikin
Surovikin is a Russian army general known for his prominent command roles in the Syrian civil war and the 2022 invasion of Ukraine.
-
E.
Cherkasov
Cherkasov is a Russian surname most notably associated with Soviet actor Nikolay Cherkasov.
- 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: Bychkov Triple: [Semyon Bychkov, familyName, Bychkov]
Generated description
Bychkov is a Russian surname borne by various notable figures in fields such as music, sports, and the military.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bychkov Target entity description: Bychkov is a Russian surname borne by various notable figures in fields such as music, sports, and the military.
-
A.
Bykov
Bykov is a character in Fyodor Dostoevsky’s epistolary novel "Poor Folk," representing part of the social milieu surrounding the impoverished protagonists.
-
B.
Bykovsky
Bykovsky is a rural locality (selo) in the Bulunsky District of the Sakha Republic, Russia, situated in the Arctic region along the Lena River.
-
C.
Chebutykin
Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
-
D.
Surovikin
Surovikin is a Russian army general known for his prominent command roles in the Syrian civil war and the 2022 invasion of Ukraine.
-
E.
Cherkasov
Cherkasov is a Russian surname most notably associated with Soviet actor Nikolay Cherkasov.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972acad08190bb56541b822555cd |
completed | April 29, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4ca0778081908f59927efecf636e |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4f73c6dc8190a703825a971681d4 |
completed | May 19, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4fee28188190b5e2732f37d4a14d |
completed | May 19, 2026, 11:56 a.m. |
Created at: April 17, 2026, 5:05 p.m.