Triple
T1355586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas |
E28979
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Mykola
Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
|
E156670
|
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: Mykola | Statement: [Nicholas, hasVariantForm, Mykola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mykola Context triple: [Nicholas, hasVariantForm, Mykola]
-
A.
Oleksiy
Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
-
B.
Oleksandr
Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
-
C.
Dmytro
Dmytro is a common Ukrainian male given name, equivalent to "Dmitry" in Russian and derived from the Greek name Demetrios.
-
D.
Andriy
Andriy is a Slavic given name, equivalent to the English name Andrew.
-
E.
Vasyl Holoborodko
Vasyl Holoborodko is the fictional history teacher who unexpectedly becomes president of Ukraine in the satirical Ukrainian TV series "Servant of the People," portrayed by Volodymyr Zelenskyy.
- 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: Mykola Triple: [Nicholas, hasVariantForm, Mykola]
Generated description
Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mykola Target entity description: Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
-
A.
Oleksiy
Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
-
B.
Oleksandr
Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
-
C.
Dmytro
Dmytro is a common Ukrainian male given name, equivalent to "Dmitry" in Russian and derived from the Greek name Demetrios.
-
D.
Andriy
Andriy is a Slavic given name, equivalent to the English name Andrew.
-
E.
Vasyl Holoborodko
Vasyl Holoborodko is the fictional history teacher who unexpectedly becomes president of Ukraine in the satirical Ukrainian TV series "Servant of the People," portrayed by Volodymyr Zelenskyy.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28c8dd0819082f94c9e7c837c5f |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce6e264481909f7cb907486d3e08 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf141c3481909ae5ea849aee7604 |
completed | March 8, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accfb8acfc8190bba379d8bb114c29 |
completed | March 8, 2026, 1:24 a.m. |
Created at: March 1, 2026, 7:56 p.m.