Triple
T13971029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Chernomyrdin |
E336062
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chernomyrdin
Chernomyrdin is the surname of Viktor Chernomyrdin, a prominent Russian politician who served as Prime Minister of Russia in the 1990s.
|
E1078905
|
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: Chernomyrdin | Statement: [Viktor Chernomyrdin, familyName, Chernomyrdin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chernomyrdin Context triple: [Viktor Chernomyrdin, familyName, Chernomyrdin]
-
A.
Semyon Ignatyev
Semyon Ignatyev was a Soviet statesman and security official who served as a key leader of the USSR’s state security apparatus during the late Stalin era.
-
B.
Sergey Banevich
Sergey Banevich is a Russian composer known for his operas, ballets, and music for theater and film.
-
C.
Maxim Purkayev
Maxim Purkayev was a Soviet Army general who held several high-level command positions during World War II and the final campaigns against Japan.
-
D.
Krasnoselsky
Krasnoselsky is the former name of what is now known as Sokolniki station in the Moscow Metro system.
-
E.
A. K. Ryzhkov
A. K. Ryzhkov was an architect known for designing the Voykovskaya metro station in Moscow.
- 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: Chernomyrdin Triple: [Viktor Chernomyrdin, familyName, Chernomyrdin]
Generated description
Chernomyrdin is the surname of Viktor Chernomyrdin, a prominent Russian politician who served as Prime Minister of Russia in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chernomyrdin Target entity description: Chernomyrdin is the surname of Viktor Chernomyrdin, a prominent Russian politician who served as Prime Minister of Russia in the 1990s.
-
A.
Semyon Ignatyev
Semyon Ignatyev was a Soviet statesman and security official who served as a key leader of the USSR’s state security apparatus during the late Stalin era.
-
B.
Sergey Banevich
Sergey Banevich is a Russian composer known for his operas, ballets, and music for theater and film.
-
C.
Maxim Purkayev
Maxim Purkayev was a Soviet Army general who held several high-level command positions during World War II and the final campaigns against Japan.
-
D.
Krasnoselsky
Krasnoselsky is the former name of what is now known as Sokolniki station in the Moscow Metro system.
-
E.
A. K. Ryzhkov
A. K. Ryzhkov was an architect known for designing the Voykovskaya metro station in Moscow.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb64df57c8190bc402c5ec268eaac |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc7ff58d88190bf568e5200e114b5 |
completed | May 7, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc9be3f448190b2edd96c4159f923 |
completed | May 7, 2026, 5:19 p.m. |
Created at: April 9, 2026, 10:18 p.m.