Triple
T4274265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praskovia Saltykova |
E97009
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Praskovia Saltykova |
E97009
|
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: Praskovia Saltykova | Statement: [Praskovia Saltykova, name, Praskovia Saltykova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praskovia Saltykova Context triple: [Praskovia Saltykova, name, Praskovia Saltykova]
-
A.
Praskovia Saltykova
chosen
Praskovia Saltykova was a Russian noblewoman and tsarevna consort best known as the wife of Tsar Ivan V and the mother of Empress Anna of Russia.
-
B.
Martha Apraksina
Martha Apraksina was a Russian noblewoman best known as the second wife of Tsar Feodor III of Russia.
-
C.
Nadezhda Vasilyeva
Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
D.
Praskovya Fyodorovna
Praskovya Fyodorovna is the self-absorbed and socially preoccupied wife of the dying judge in Leo Tolstoy’s novella "The Death of Ivan Ilyich," embodying the superficiality and moral emptiness of the society around him.
-
E.
Ulitsa Skobelevskaya
Ulitsa Skobelevskaya is a Moscow Metro station serving the Butovskaya Line in the southern part of Moscow, Russia.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501abb74819086b2f04ac7a5c114 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b67ba3fef08190a0f92460703b0a98 |
completed | March 15, 2026, 9:28 a.m. |
Created at: March 12, 2026, 11:07 p.m.