Triple
T1807732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elena Bashkirova |
E40258
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bashkirova
Bashkirova is a Russian-language surname commonly associated with individuals of Slavic origin.
|
E200677
|
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: Bashkirova | Statement: [Elena Bashkirova, familyName, Bashkirova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bashkirova Context triple: [Elena Bashkirova, familyName, Bashkirova]
-
A.
Shkrebneva
Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
-
B.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
-
C.
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.
-
D.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
E.
Arapova
Arapova is a Russian-language surname historically borne by various 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: Bashkirova Triple: [Elena Bashkirova, familyName, Bashkirova]
Generated description
Bashkirova is a Russian-language surname commonly associated with individuals of Slavic origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bashkirova Target entity description: Bashkirova is a Russian-language surname commonly associated with individuals of Slavic origin.
-
A.
Shkrebneva
Shkrebneva is the maiden surname of Lyudmila Putina, the former wife of Russian president Vladimir Putin.
-
B.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
-
C.
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.
-
D.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
E.
Arapova
Arapova is a Russian-language surname historically borne by various 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6599f35c8190aefd20773365fdcf |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5e137bc81908294dd6b67789526 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb69d10188190b78bece656249ecd |
completed | March 8, 2026, 5:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb8c122e881908f0640edc5aaf305 |
completed | March 8, 2026, 5:58 p.m. |
Created at: March 4, 2026, 7:32 p.m.