Triple
T16136458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olga Baranovskaya |
E391541
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Olga Baranovskaya
Olga Baranovskaya is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
|
E1197589
|
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: Olga Baranovskaya | Statement: [Olga Baranovskaya, name, Olga Baranovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olga Baranovskaya Context triple: [Olga Baranovskaya, name, Olga Baranovskaya]
-
A.
Olga Baranovskaya
Olga Baranovskaya was the wife of Alexander Kerensky, the key political leader of the Russian Provisional Government during the 1917 Revolution.
-
B.
Olga Luzhkova
Olga Luzhkova is known primarily as a daughter of the late Yuri Luzhkov, the long-serving former mayor of Moscow.
-
C.
Olga Golysheva
Olga Golysheva is the daughter of Galina Dzhugashvili, making her a descendant of Soviet leader Joseph Stalin.
-
D.
Olga Belokopytova
Olga Belokopytova was the wife of Nobel Prize–winning Russian biologist and immunologist Ilya Ilyich Mechnikov.
-
E.
Olga Lysova
Olga Lysova is a Russian woman best known as the first wife of billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
- 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: Olga Baranovskaya Triple: [Olga Baranovskaya, name, Olga Baranovskaya]
Generated description
Olga Baranovskaya is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olga Baranovskaya Target entity description: Olga Baranovskaya is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
-
A.
Olga Baranovskaya
Olga Baranovskaya was the wife of Alexander Kerensky, the key political leader of the Russian Provisional Government during the 1917 Revolution.
-
B.
Olga Luzhkova
Olga Luzhkova is known primarily as a daughter of the late Yuri Luzhkov, the long-serving former mayor of Moscow.
-
C.
Olga Golysheva
Olga Golysheva is the daughter of Galina Dzhugashvili, making her a descendant of Soviet leader Joseph Stalin.
-
D.
Olga Belokopytova
Olga Belokopytova was the wife of Nobel Prize–winning Russian biologist and immunologist Ilya Ilyich Mechnikov.
-
E.
Olga Lysova
Olga Lysova is a Russian woman best known as the first wife of billionaire businessman and former Chelsea F.C. owner Roman Abramovich.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a05148c8190bc2b98217fda23cc |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a304348190bf471f2b9279b806 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff8de647481908e820b0e14bc7b76 |
completed | May 10, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff94cd32081908205ae383e58d148 |
completed | May 10, 2026, 3:19 a.m. |
Created at: April 10, 2026, 5:01 a.m.