Triple
T14932425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mykola Azarov |
E372300
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lyudmyla Azarova
Lyudmyla Azarova is the wife of former Ukrainian Prime Minister Mykola Azarov and a public figure associated with Ukraine's political elite.
|
E1126869
|
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: Lyudmyla Azarova | Statement: [Mykola Azarov, spouse, Lyudmyla Azarova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyudmyla Azarova Context triple: [Mykola Azarov, spouse, Lyudmyla Azarova]
-
A.
Oksana Korostyshevskaya
Oksana Korostyshevskaya is an actress known for her role in the action film "Soldiers of Fortune."
-
B.
Galina Luchai
Galina Luchai is a Soviet actress best known for her role in the classic 1970 film "White Sun of the Desert."
-
C.
Tetiana Zakharova
Tetiana Zakharova is a former Soviet basketball player who gained prominence as a key member of the USSR women's national team.
-
D.
Svetlana Svetlichnaya
Svetlana Svetlichnaya is a Soviet and Russian actress best known for her glamorous and seductive roles in classic Soviet cinema.
-
E.
Natalya Svetlova
Natalya Svetlova is best known as the second wife of Russian writer and Nobel laureate Alexander Solzhenitsyn, with whom she shared decades of his later life and literary legacy.
- 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: Lyudmyla Azarova Triple: [Mykola Azarov, spouse, Lyudmyla Azarova]
Generated description
Lyudmyla Azarova is the wife of former Ukrainian Prime Minister Mykola Azarov and a public figure associated with Ukraine's political elite.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyudmyla Azarova Target entity description: Lyudmyla Azarova is the wife of former Ukrainian Prime Minister Mykola Azarov and a public figure associated with Ukraine's political elite.
-
A.
Oksana Korostyshevskaya
Oksana Korostyshevskaya is an actress known for her role in the action film "Soldiers of Fortune."
-
B.
Galina Luchai
Galina Luchai is a Soviet actress best known for her role in the classic 1970 film "White Sun of the Desert."
-
C.
Tetiana Zakharova
Tetiana Zakharova is a former Soviet basketball player who gained prominence as a key member of the USSR women's national team.
-
D.
Svetlana Svetlichnaya
Svetlana Svetlichnaya is a Soviet and Russian actress best known for her glamorous and seductive roles in classic Soviet cinema.
-
E.
Natalya Svetlova
Natalya Svetlova is best known as the second wife of Russian writer and Nobel laureate Alexander Solzhenitsyn, with whom she shared decades of his later life and literary legacy.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c86b5c81909e601a3fc78276bd |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7360c11481908e2e5127b466e31b |
completed | May 8, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe743c37308190a045ef5f0ade8508 |
completed | May 8, 2026, 11:39 p.m. |
Created at: April 10, 2026, 2:37 a.m.