Triple
T4681183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolay Bogolyubov |
E103805
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bogolyubov |
E103805
|
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: Bogolyubov | Statement: [Nikolay Bogolyubov, familyName, Bogolyubov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogolyubov Context triple: [Nikolay Bogolyubov, familyName, Bogolyubov]
-
A.
Leontyevich
Leontyevich is a Russian patronymic name derived from the male given name Leonty, traditionally indicating "son of Leonty."
-
B.
Pozdnyshev
Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
-
C.
Kirillov
Kirillov is a small historic town in Russia known for its medieval monasteries and traditional northern architecture.
-
D.
Nikolay Bogolyubov
chosen
Nikolay Bogolyubov was a prominent Soviet mathematician and theoretical physicist known for his foundational contributions to quantum field theory, statistical mechanics, and nonlinear dynamics.
-
E.
Fyodorov
Fyodorov is a Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636d306081908ff512896f54cb10 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ac44d481908ecb1fe84184a886 |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.