Triple
T909046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irina Virganskaya |
E19615
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Virganskaya
Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
|
E115392
|
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: Virganskaya | Statement: [Irina Virganskaya, familyName, Virganskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virganskaya Context triple: [Irina Virganskaya, familyName, Virganskaya]
-
A.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
-
B.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
C.
Nikolassee
Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
-
D.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
E.
Zavitinsk
Zavitinsk is a small town in Russia’s Far Eastern Amur Oblast, known historically for its nearby military air base and its role as a local administrative and transport center.
- 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: Virganskaya Triple: [Irina Virganskaya, familyName, Virganskaya]
Generated description
Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Virganskaya Target entity description: Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
-
A.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
-
B.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
C.
Nikolassee
Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
-
D.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
E.
Zavitinsk
Zavitinsk is a small town in Russia’s Far Eastern Amur Oblast, known historically for its nearby military air base and its role as a local administrative and transport center.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cee2848190b1f17e8817f092a1 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac16f9d07c819097b9cf95d2b708f7 |
completed | March 7, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_69ac1a6cee0481908e9e6d7311ee6126 |
completed | March 7, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1aebd5d88190830cb66dae2bd0b5 |
completed | March 7, 2026, 12:32 p.m. |
Created at: March 1, 2026, 7:39 p.m.