Triple
T874373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolstoy family |
E18883
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Sophia Tolstaya |
E24133
|
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: Sophia Tolstaya | Statement: [Tolstoy family, notableMember, Sophia Tolstaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Tolstaya Context triple: [Tolstoy family, notableMember, Sophia Tolstaya]
-
A.
Sophia Tolstaya
chosen
Sophia Tolstaya was a Russian diarist, editor, and wife of novelist Leo Tolstoy, known for managing his household, copying his manuscripts, and documenting their complex marriage.
-
B.
Tatyana Tolstaya
Tatyana Tolstaya is a contemporary Russian writer, essayist, and television host known for her imaginative, stylistically rich fiction and sharp cultural commentary.
-
C.
Nadezhda Vasilyeva
Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
D.
Varvara Vasilyevna Kashirina
Varvara Vasilyevna Kashirina was the mother of the renowned Russian writer Maksim Gorky and a formative influence during his difficult early life.
-
E.
Alexei Tolstoy
Alexei Tolstoy was a prominent Russian writer and novelist known for his historical epics, science fiction works, and contributions to Soviet literature.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac992d8c819088800f5a713fa7a4 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac598e6ccc8190b0d75d36036f5e42 |
completed | March 7, 2026, 4:59 p.m. |
Created at: March 1, 2026, 7:39 p.m.