Triple
T2039067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siberian Army |
E44699
|
entity |
| Predicate | hasCommander |
P1197
|
FINISHED |
| Object |
Sergey Rozanov
Sergey Rozanov was a Russian military leader who served as a prominent White Army commander during the Russian Civil War.
|
E405542
|
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: Sergey Rozanov | Statement: [Siberian Army, hasCommander, Sergey Rozanov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergey Rozanov Context triple: [Siberian Army, hasCommander, Sergey Rozanov]
-
A.
Aleksei Tsvetayev
Aleksei Tsvetayev was a Soviet military officer and general who served in the Red Army during World War II.
-
B.
Vyacheslav Ivanov
Vyacheslav Ivanov is a Soviet rower renowned for winning three consecutive Olympic gold medals in single sculls from 1956 to 1964.
-
C.
Innokenty Smoktunovsky
Innokenty Smoktunovsky was a renowned Soviet and Russian actor celebrated for his nuanced stage and film performances, including his iconic portrayal of Hamlet.
-
D.
Vasiliy Fet
Vasiliy Fet is a tough, resourceful exterminator-turned-vampire hunter in the horror television series "The Strain."
-
E.
Viktor Sadovnichiy
Viktor Sadovnichiy is a Russian mathematician and academic leader who has long served as the influential rector of Moscow State University.
- 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: Sergey Rozanov Triple: [Siberian Army, hasCommander, Sergey Rozanov]
Generated description
Sergey Rozanov was a Russian military leader who served as a prominent White Army commander during the Russian Civil War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sergey Rozanov Target entity description: Sergey Rozanov was a Russian military leader who served as a prominent White Army commander during the Russian Civil War.
-
A.
Aleksei Tsvetayev
Aleksei Tsvetayev was a Soviet military officer and general who served in the Red Army during World War II.
-
B.
Vyacheslav Ivanov
Vyacheslav Ivanov is a Soviet rower renowned for winning three consecutive Olympic gold medals in single sculls from 1956 to 1964.
-
C.
Innokenty Smoktunovsky
Innokenty Smoktunovsky was a renowned Soviet and Russian actor celebrated for his nuanced stage and film performances, including his iconic portrayal of Hamlet.
-
D.
Vasiliy Fet
Vasiliy Fet is a tough, resourceful exterminator-turned-vampire hunter in the horror television series "The Strain."
-
E.
Viktor Sadovnichiy
Viktor Sadovnichiy is a Russian mathematician and academic leader who has long served as the influential rector of Moscow State University.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb951870481909dbdd8fc8b0c02fe |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c0e702081909384b804fb1ade90 |
completed | March 14, 2026, 11:52 a.m. |
| NEDg | Description generation | batch_69b54c93863c819099e1a8d5bce2dced |
completed | March 14, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54d853f3881909f6ab8b83ad0e064 |
completed | March 14, 2026, 11:59 a.m. |
Created at: March 4, 2026, 7:39 p.m.