Triple
T23280764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofya Tolstaya |
E588853
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tolstaya |
—
|
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: Tolstaya | Statement: [Sofya Tolstaya, familyName, Tolstaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tolstaya Context triple: [Sofya Tolstaya, familyName, Tolstaya]
-
A.
Tolstaya
chosen
Tolstaya is a Russian noble family name most famously borne by Sophia Tolstaya, the wife and muse of writer Leo Tolstoy.
-
B.
Dostoevskaya
Dostoevskaya is a Russian surname most famously borne by Anna Grigoryevna Dostoevskaya, the wife and stenographer of novelist Fyodor Dostoevsky.
-
C.
Tatyana Tolstaya
Tatyana Tolstaya is a contemporary Russian writer, essayist, and television host known for her imaginative, stylistically rich fiction and sharp cultural commentary.
-
D.
Ostermann-Tolstoy
Ostermann-Tolstoy is the noble Russian family name associated with Count Alexander Ivanovich Ostermann-Tolstoy, a prominent general of the Napoleonic Wars.
-
E.
Natalia Tolstaya
Natalia Tolstaya is a Russian writer and public figure, known for her works on psychology, relationships, and personal development.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19642b46481909fd455acd2155792 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:56 p.m.