Triple
T3409973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galina Brezhneva |
E71867
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
|
E378883
|
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: Galina | Statement: [Galina Brezhneva, givenName, Galina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galina Context triple: [Galina Brezhneva, givenName, Galina]
-
A.
Ludmilla
Ludmilla is a coastal suburb of Darwin in Australia's Northern Territory, known for its residential areas and proximity to Fannie Bay.
-
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.
Galina Burdonskaya
Galina Burdonskaya was a Soviet woman best known as the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
D.
Svetlana
Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
-
E.
Olga
Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
- 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: Galina Triple: [Galina Brezhneva, givenName, Galina]
Generated description
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galina Target entity description: Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
A.
Ludmilla
Ludmilla is a coastal suburb of Darwin in Australia's Northern Territory, known for its residential areas and proximity to Fannie Bay.
-
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.
Galina Burdonskaya
Galina Burdonskaya was a Soviet woman best known as the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
D.
Svetlana
Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
-
E.
Olga
Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb90754788190ab85e2bec020f99e |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c36c12008190b21c47091a4e2ca6 |
completed | March 14, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69b4c4215ba481908d9d8eeb24ea298b |
completed | March 14, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c494ad80819084d6aa10fe62a63b |
completed | March 14, 2026, 2:14 a.m. |
Created at: March 8, 2026, 3:15 p.m.