Triple
T8133314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muravyov-Karsky |
E189905
|
entity |
| Predicate | honorificSuffix |
P341
|
FINISHED |
| Object |
-Karsky
-Karsky is a Russian noble honorific suffix indicating association with the Muravyov-Karsky family line.
|
E714063
|
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: -Karsky | Statement: [Muravyov-Karsky, honorificSuffix, -Karsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: -Karsky Context triple: [Muravyov-Karsky, honorificSuffix, -Karsky]
-
A.
Kowarski
Kowarski is a surname most notably associated with Lew Kowarski, a pioneering physicist in the development of nuclear reactors and early nuclear research in Europe.
-
B.
Anatoly Virgansky
Anatoly Virgansky is best known as the husband of Irina Virganskaya, the daughter of former Soviet leader Leonid Brezhnev.
-
C.
Genrikh
Genrikh is a masculine given name of Russian origin, notably borne by Soviet secret police chief Genrikh Yagoda.
-
D.
Kaminsky
Kaminsky is the original family surname of American entertainer Danny Kaye, born David Daniel Kaminsky.
-
E.
Don Koharski
Don Koharski is a former National Hockey League referee known for his long officiating career and appearances in numerous high-profile games.
- 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: -Karsky Triple: [Muravyov-Karsky, honorificSuffix, -Karsky]
Generated description
-Karsky is a Russian noble honorific suffix indicating association with the Muravyov-Karsky family line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: -Karsky Target entity description: -Karsky is a Russian noble honorific suffix indicating association with the Muravyov-Karsky family line.
-
A.
Kowarski
Kowarski is a surname most notably associated with Lew Kowarski, a pioneering physicist in the development of nuclear reactors and early nuclear research in Europe.
-
B.
Anatoly Virgansky
Anatoly Virgansky is best known as the husband of Irina Virganskaya, the daughter of former Soviet leader Leonid Brezhnev.
-
C.
Genrikh
Genrikh is a masculine given name of Russian origin, notably borne by Soviet secret police chief Genrikh Yagoda.
-
D.
Kaminsky
Kaminsky is the original family surname of American entertainer Danny Kaye, born David Daniel Kaminsky.
-
E.
Don Koharski
Don Koharski is a former National Hockey League referee known for his long officiating career and appearances in numerous high-profile games.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43ba98c881909c4b4c9cd25ad063 |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9488f0bc8190a4fdf6d021f54e13 |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc95c180188190a2d541e8ea9a4c57 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc970698f88190a0869515904e50e3 |
completed | April 1, 2026, 3:54 a.m. |
Created at: March 30, 2026, 5:35 p.m.