Triple
T21663228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadezhda Udaltsova |
E534644
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Udaltsova
Udaltsova is a Russian surname most notably associated with Nadezhda Udaltsova, an influential avant-garde painter of the early 20th century.
|
E1495714
|
NE FINISHED |
How this triple was built (4 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: Udaltsova | Statement: [Nadezhda Udaltsova, familyName, Udaltsova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udaltsova Context triple: [Nadezhda Udaltsova, familyName, Udaltsova]
-
A.
Urusova
Urusova is a Russian feminine surname, typically derived from the masculine form Urusov.
-
B.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
C.
Ülemsootska
Ülemsootska is the traditional highest leader of the Seto people, serving as a cultural and communal head within this indigenous Finno-Ugric community of southeastern Estonia and neighboring Russia.
-
D.
Ulyana
Ulyana is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
-
E.
Grusinskaya
Grusinskaya is a fading but still celebrated Russian ballerina whose loneliness and vulnerability are central to the drama of the film "Grand Hotel."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Udaltsova Triple: [Nadezhda Udaltsova, familyName, Udaltsova]
Generated description
Udaltsova is a Russian surname most notably associated with Nadezhda Udaltsova, an influential avant-garde painter of the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Udaltsova Target entity description: Udaltsova is a Russian surname most notably associated with Nadezhda Udaltsova, an influential avant-garde painter of the early 20th century.
-
A.
Urusova
Urusova is a Russian feminine surname, typically derived from the masculine form Urusov.
-
B.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
C.
Ülemsootska
Ülemsootska is the traditional highest leader of the Seto people, serving as a cultural and communal head within this indigenous Finno-Ugric community of southeastern Estonia and neighboring Russia.
-
D.
Ulyana
Ulyana is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
-
E.
Grusinskaya
Grusinskaya is a fading but still celebrated Russian ballerina whose loneliness and vulnerability are central to the drama of the film "Grand Hotel."
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a159e783081908b025a92bfa658c9 |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a16c278188190855335930666cede |
completed | May 17, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17a2c81481908e229ea58e61843e |
completed | May 17, 2026, 7:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.