Triple
T23206771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anatoli Firsov |
E580478
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Firsov |
—
|
NE NERFINISHED |
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: Firsov | Statement: [Anatoli Firsov, familyName, Firsov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firsov Context triple: [Anatoli Firsov, familyName, Firsov]
-
A.
Firsov
chosen
Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
-
B.
Bogolyubovo
Bogolyubovo is a historic rural locality in Vladimir Oblast, Russia, known for its medieval monastery complex and association with Prince Andrey Bogolyubsky.
-
C.
Kistiakowsky
Kistiakowsky is a surname most notably associated with George Kistiakowsky, a Ukrainian-American physical chemist who contributed to the Manhattan Project and later served as a science advisor to U.S. President Dwight D. Eisenhower.
-
D.
Sokolovsky
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
-
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 (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907cd62c8190afee1e963b170727 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.