Triple
T1930047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Udaltsov |
E40923
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sergei Udaltsov |
E40923
|
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: Sergei Udaltsov | Statement: [Sergei Udaltsov, name, Sergei Udaltsov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergei Udaltsov Context triple: [Sergei Udaltsov, name, Sergei Udaltsov]
-
A.
Sergei Udaltsov
chosen
Sergei Udaltsov is a Russian left-wing opposition activist and politician known for organizing and leading anti-Kremlin protests, including the large-scale demonstrations following the 2011 parliamentary elections.
-
B.
Andrei Zelentsov
Andrei Zelentsov was a Soviet military commander best known for leading Red Army forces during the Winter War against Finland, including in the Battle of Suomussalmi.
-
C.
Sergei Smirnov
Sergei Smirnov is a Russian mathematician known for his contributions to probability theory and mathematical physics.
-
D.
Andrei Voronkov
Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
-
E.
Mikhail Zharov
Mikhail Zharov was a prominent Soviet film and theater actor known for his character roles in classic Russian cinema.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb266dcb4819090be83556615d0db |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdf9e0af508190adbd16c718d996e2 |
completed | March 21, 2026, 1:52 a.m. |
Created at: March 4, 2026, 7:35 p.m.