Triple
T14394423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Belyaev |
E356919
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eugene Belyaev |
E356919
|
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: Eugene Belyaev | Statement: [Eugene Belyaev, name, Eugene Belyaev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugene Belyaev Context triple: [Eugene Belyaev, name, Eugene Belyaev]
-
A.
Eugene Belyaev
chosen
Eugene Belyaev is a Russian software engineer and entrepreneur best known as a co-founder of the software development tools company JetBrains.
-
B.
Mikhail Belyaev
Mikhail Belyaev was a Russian Imperial general who served as the last War Minister of the Russian Empire during World War I.
-
C.
Nikolai Wolf
Nikolai Wolf is a supporting character in the horror-comedy film "Jennifer's Body," serving as a member of the indie rock band whose actions help trigger the movie's supernatural events.
-
D.
Esper Alexandrovich Beloselsky-Belozersky
Esper Alexandrovich Beloselsky-Belozersky was a Russian nobleman and naval officer from the prominent Beloselsky-Belozersky princely family.
-
E.
Nikolai Bunge
Nikolai Bunge was a 19th-century Russian statesman and economist known for initiating significant financial and economic reforms in the Russian Empire.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902d114881908a8f3c01b3c6d309 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551b006c8190b84449f2e2b59b62 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.