Triple
T7712443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grigory Semyonov |
E174792
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Semyonov
Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
|
E690301
|
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: Semyonov | Statement: [Grigory Semyonov, familyName, Semyonov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semyonov Context triple: [Grigory Semyonov, familyName, Semyonov]
-
A.
Semyon
Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
-
B.
Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
-
C.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
-
D.
Sokolovsky
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
-
E.
Leonid
Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
- 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: Semyonov Triple: [Grigory Semyonov, familyName, Semyonov]
Generated description
Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semyonov Target entity description: Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
-
A.
Semyon
Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
-
B.
Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
-
C.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
-
D.
Sokolovsky
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
-
E.
Leonid
Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702c96e388190898165f84d646c0e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c925264798819096e154ffa23ddfae |
completed | March 29, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c92685581c8190acc5c259cf89703d |
completed | March 29, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c926d20a24819083d5ff238d9fa0e3 |
completed | March 29, 2026, 1:19 p.m. |
Created at: March 27, 2026, 4:04 p.m.