Triple
T2094537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yevgeny Vuchetich |
E32749
|
entity |
| Predicate | patronymicName |
P7966
|
FINISHED |
| Object |
Viktorovich
Viktorovich is a Russian patronymic given name indicating that a person is the son of someone named Viktor.
|
E234823
|
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: Viktorovich | Statement: [Yevgeny Vuchetich, patronymicName, Viktorovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viktorovich Context triple: [Yevgeny Vuchetich, patronymicName, Viktorovich]
-
A.
Vladimirovich
Vladimirovich is the Russian patronymic derived from the given name Vladimir, indicating "son of Vladimir" and used in full names such as that of Vladimir Putin.
-
B.
Viktor
Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
-
C.
Vyacheslav
Vyacheslav is a masculine given name of Slavic origin, most notably borne by Soviet politician Vyacheslav Molotov.
-
D.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
E.
Nikolay
Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
- 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: Viktorovich Triple: [Yevgeny Vuchetich, patronymicName, Viktorovich]
Generated description
Viktorovich is a Russian patronymic given name indicating that a person is the son of someone named Viktor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viktorovich Target entity description: Viktorovich is a Russian patronymic given name indicating that a person is the son of someone named Viktor.
-
A.
Vladimirovich
Vladimirovich is the Russian patronymic derived from the given name Vladimir, indicating "son of Vladimir" and used in full names such as that of Vladimir Putin.
-
B.
Viktor
Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
-
C.
Vyacheslav
Vyacheslav is a masculine given name of Slavic origin, most notably borne by Soviet politician Vyacheslav Molotov.
-
D.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
E.
Nikolay
Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba99ddc48190bb2097b56efb7aca |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae305cb77c819085c4f3eb2223f749 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30f6b7c4819080cb7cb7adc1f6d3 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31871d408190a4ae64372660fa79 |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:43 p.m.