Triple
T4928235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalinin Front |
E110628
|
entity |
| Predicate | notableCommander |
P1197
|
FINISHED |
| Object | Maksim Purkayev |
E364579
|
NE FINISHED |
How this triple was built (2 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: Maksim Purkayev | Statement: [Kalinin Front, notableCommander, Maksim Purkayev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maksim Purkayev Context triple: [Kalinin Front, notableCommander, Maksim Purkayev]
-
A.
Maxim Purkayev
chosen
Maxim Purkayev was a Soviet Army general who held several high-level command positions during World War II and the final campaigns against Japan.
-
B.
Maksim Shtraukh
Maksim Shtraukh was a Soviet film and theater actor best known for his portrayals of Vladimir Lenin in numerous Soviet-era productions.
-
C.
Vladimir Begichev
Vladimir Begichev was a 19th-century Russian dramatist and theatre official best known for co-authoring the original libretto of Tchaikovsky’s ballet Swan Lake.
-
D.
Sergey Muromtsev
Sergey Muromtsev was a prominent Russian jurist, liberal politician, and the first chairman of the State Duma in the early 20th century.
-
E.
Vasiliy Tupikov
Vasiliy Tupikov was a Soviet military officer who served as a high-ranking staff commander in the Red Army during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7036d8e88190bc4be2975160da23 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190aa70f0819088998b0e895ea36a |
completed | April 4, 2026, 10:28 p.m. |
Created at: March 20, 2026, 1:30 p.m.