Triple
T15618502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petro Symonenko |
E375481
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Symonenko
Symonenko is a Ukrainian surname most notably associated with Petro Symonenko, a prominent Ukrainian politician and longtime leader of the Communist Party of Ukraine.
|
E1166438
|
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: Symonenko | Statement: [Petro Symonenko, familyName, Symonenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symonenko Context triple: [Petro Symonenko, familyName, Symonenko]
-
A.
Semyonov
Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
-
B.
Sokolovsky
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
-
C.
Kiriyenko
Kiriyenko is a Russian surname most prominently associated with politician Sergei Kiriyenko, a former prime minister of Russia and senior government official.
-
D.
Turchynov
Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
-
E.
Semyon
Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
- 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: Symonenko Triple: [Petro Symonenko, familyName, Symonenko]
Generated description
Symonenko is a Ukrainian surname most notably associated with Petro Symonenko, a prominent Ukrainian politician and longtime leader of the Communist Party of Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Symonenko Target entity description: Symonenko is a Ukrainian surname most notably associated with Petro Symonenko, a prominent Ukrainian politician and longtime leader of the Communist Party of Ukraine.
-
A.
Semyonov
Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
-
B.
Sokolovsky
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
-
C.
Kiriyenko
Kiriyenko is a Russian surname most prominently associated with politician Sergei Kiriyenko, a former prime minister of Russia and senior government official.
-
D.
Turchynov
Turchynov is a Ukrainian politician and former acting president of Ukraine known for his roles in the country’s post-2014 political transition.
-
E.
Semyon
Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56def20881909f835dd44ab9ac2b |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff578dc9dc8190ae0b1abcd74a6346 |
completed | May 9, 2026, 3:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff586ce89081909ebc1779bb9c4221 |
completed | May 9, 2026, 3:53 p.m. |
Created at: April 10, 2026, 4:13 a.m.