Triple
T1917039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E40040
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Elisaveta |
E232759
|
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: Elisaveta | Statement: [Elizabeth, hasVariant, Elisaveta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elisaveta Context triple: [Elizabeth, hasVariant, Elisaveta]
-
A.
Tsarevna of Russia
Tsarevna of Russia was the traditional title given to the daughters or daughters-in-law of a Russian tsar, denoting their status as imperial princesses within the Romanov dynasty.
-
B.
Natalia Petrovna
Natalia Petrovna was a Russian princess of the Romanov dynasty and sister of Empress Elizabeth of Russia.
-
C.
Elisabeta
chosen
Elisabeta is a given name used in various European languages, corresponding to the English name Elizabeth.
-
D.
Maria of Borovsk
Maria of Borovsk was a 15th-century Russian princess and Grand Princess of Moscow, known primarily as the wife of Grand Prince Vasily II and the mother of Ivan III, who greatly expanded the Russian state.
-
E.
Ekaterina Pavlovna Volzhina
Ekaterina Pavlovna Volzhina was the wife of renowned Russian writer Maksim Gorky and a figure associated with his early literary and political life.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb20f54848190b9457e1231aa49db |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3042bdf08190bf43c9246fcc114e |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:35 p.m.