Triple
T21663227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadezhda Udaltsova |
E534644
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nadezhda |
—
|
NE NERFINISHED |
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: Nadezhda | Statement: [Nadezhda Udaltsova, givenName, Nadezhda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadezhda Context triple: [Nadezhda Udaltsova, givenName, Nadezhda]
-
A.
Nadezhda
chosen
Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
-
B.
Vasilyeva
Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
-
C.
Nadezhda Orenburg
Nadezhda Orenburg is a professional women's basketball club based in Orenburg, Russia, that competes in top domestic and European competitions.
-
D.
Ulitskaya
Ulitskaya is the surname of Lyudmila Ulitskaya, a prominent contemporary Russian writer known for her psychologically rich novels and short stories.
-
E.
Kamarinskaya
Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0956e0819093b4794418efe052 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.