Triple
T5555836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lana Peters |
E145637
|
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: [Lana Peters, familyName, Alliluyeva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alliluyeva Context triple: [Lana Peters, 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.
Shchyolkovskaya
Shchyolkovskaya is a Moscow Metro station serving as the eastern terminus of the Arbatsko–Pokrovskaya Line.
-
C.
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.
-
D.
Ulyanova
Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
-
E.
Gagarina
Gagarina is a Russian surname most notably associated with Yelena Gagarina, the daughter of cosmonaut Yuri Gagarin and a prominent museum director.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffc5e7c81908e1c454d3bfd357b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0283bd408819085c62caf254df339 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:36 p.m.