Triple
T2237593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetlana Alliluyeva |
E49316
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Alliluyeva |
E25978
|
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: Alliluyeva | Statement: [Svetlana Alliluyeva, familyName, Alliluyeva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alliluyeva Context triple: [Svetlana Alliluyeva, familyName, Alliluyeva]
-
A.
Alliluyeva
chosen
Alliluyeva is a Russian surname most notably borne by Nadezhda Alliluyeva, the second wife of Soviet leader Joseph Stalin.
-
B.
Mendeleyevskaya
Mendeleyevskaya is a Moscow Metro station named after chemist Dmitri Mendeleev, located near the city center and serving as an important stop on the north–south metro axis.
-
C.
Gagarina
Gagarina is a Russian surname most notably associated with Yelena Gagarina, the daughter of cosmonaut Yuri Gagarin and a prominent museum director.
-
D.
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.
-
E.
Govardeyskaya
Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc096c7748190a545cc9b229bde62 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b08c5248190924a28f4c1bd0e2c |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.