Triple
T16935330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksandr Svechin |
E410812
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Svechin
Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
|
E1242778
|
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: Svechin | Statement: [Aleksandr Svechin, familyName, Svechin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svechin Context triple: [Aleksandr Svechin, familyName, Svechin]
-
A.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
B.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
-
C.
Shchusev
Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
-
D.
Voloshin
Voloshin is a Russian surname most notably associated with the poet and literary critic Maximilian Voloshin, a key figure of the Silver Age of Russian poetry.
-
E.
Klimowitschi
Klimowitschi is a town in Belarus known in part for its international municipal partnership with Werder (Havel) in Germany.
- 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: Svechin Triple: [Aleksandr Svechin, familyName, Svechin]
Generated description
Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Svechin Target entity description: Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
-
A.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
-
B.
Ignatyev
Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
-
C.
Shchusev
Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
-
D.
Voloshin
Voloshin is a Russian surname most notably associated with the poet and literary critic Maximilian Voloshin, a key figure of the Silver Age of Russian poetry.
-
E.
Klimowitschi
Klimowitschi is a town in Belarus known in part for its international municipal partnership with Werder (Havel) in Germany.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2899608190a6bacdce9d4ceb84 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d45e64d881909da963825d2eea98 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d587299081908981bd8bc2ae8f3d |
completed | May 10, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d6085cc08190bc3c574ce61d19f4 |
completed | May 10, 2026, 7:01 p.m. |
Created at: April 10, 2026, 5:30 a.m.