Triple
T1821371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Danilova |
E40545
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Danilova
Danilova is a Russian surname most famously associated with Alexandra Danilova, a celebrated 20th-century ballerina and influential ballet teacher.
|
E210550
|
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: Danilova | Statement: [Alexandra Danilova, familyName, Danilova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danilova Context triple: [Alexandra Danilova, familyName, Danilova]
-
A.
Lopokova
Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
-
B.
Lyudmila
Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
-
C.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
-
D.
Nadezhda
Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
-
E.
Bashkirova
Bashkirova is a Russian-language surname commonly associated with individuals of Slavic origin.
- 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: Danilova Triple: [Alexandra Danilova, familyName, Danilova]
Generated description
Danilova is a Russian surname most famously associated with Alexandra Danilova, a celebrated 20th-century ballerina and influential ballet teacher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danilova Target entity description: Danilova is a Russian surname most famously associated with Alexandra Danilova, a celebrated 20th-century ballerina and influential ballet teacher.
-
A.
Lopokova
Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
-
B.
Lyudmila
Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
-
C.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
-
D.
Nadezhda
Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
-
E.
Bashkirova
Bashkirova is a Russian-language surname commonly associated with individuals of Slavic origin.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa662a13208190b4126d92c613760d |
completed | March 6, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf42de6081908182cd3bda9c69e9 |
completed | March 8, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69addfb3860481908ff4eebfa3d06fa7 |
completed | March 8, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade027072481909b707bbfc47da4de |
completed | March 8, 2026, 8:46 p.m. |
Created at: March 4, 2026, 7:32 p.m.