Triple
T22045173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikhail Larionov |
E544741
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Larionov |
—
|
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: Larionov | Statement: [Mikhail Larionov, familyName, Larionov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larionov Context triple: [Mikhail Larionov, familyName, Larionov]
-
A.
Larionov
chosen
Larionov is a person after whom the KLM line is named, likely recognized for notable contributions or significance related to that context.
-
B.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
-
C.
Ryazanov
Ryazanov is a Russian surname most notably borne by Eldar Ryazanov, a celebrated Soviet and Russian film director and screenwriter.
-
D.
Korovin
Korovin is a Russian surname most notably associated with the Impressionist painter Konstantin Korovin.
-
E.
Kovalyov
Kovalyov is the absurdly unfortunate civil servant protagonist of Shostakovich’s opera “The Nose,” whose detached nose gains a higher social rank than he does.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282e647481908e054b3ad19e2c15 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.