Triple
T15381874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iryna Herashchenko |
E367823
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Herashchenko
Herashchenko is a Ukrainian surname most notably associated with public figures such as politician and journalist Iryna Herashchenko.
|
E1153793
|
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: Herashchenko | Statement: [Iryna Herashchenko, familyName, Herashchenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herashchenko Context triple: [Iryna Herashchenko, familyName, Herashchenko]
-
A.
Liatoshynsky
Liatoshynsky is the surname of Boris Liatoshynsky, a prominent Ukrainian composer and key figure in 20th-century Eastern European classical music.
-
B.
Krushelnytska
Krushelnytska is a Ukrainian surname most famously associated with Solomiya Krushelnytska, a renowned early 20th-century opera singer.
-
C.
Doroshenko
Doroshenko is a Ukrainian surname most notably borne by Petro Doroshenko, a 17th-century Cossack Hetman of Right-bank Ukraine.
-
D.
Oleksy
Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
-
E.
Derevko
Derevko is the surname of Irina Derevko, a key character in the television series "Alias."
- 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: Herashchenko Triple: [Iryna Herashchenko, familyName, Herashchenko]
Generated description
Herashchenko is a Ukrainian surname most notably associated with public figures such as politician and journalist Iryna Herashchenko.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herashchenko Target entity description: Herashchenko is a Ukrainian surname most notably associated with public figures such as politician and journalist Iryna Herashchenko.
-
A.
Liatoshynsky
Liatoshynsky is the surname of Boris Liatoshynsky, a prominent Ukrainian composer and key figure in 20th-century Eastern European classical music.
-
B.
Krushelnytska
Krushelnytska is a Ukrainian surname most famously associated with Solomiya Krushelnytska, a renowned early 20th-century opera singer.
-
C.
Doroshenko
Doroshenko is a Ukrainian surname most notably borne by Petro Doroshenko, a 17th-century Cossack Hetman of Right-bank Ukraine.
-
D.
Oleksy
Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
-
E.
Derevko
Derevko is the surname of Irina Derevko, a key character in the television series "Alias."
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5bc43c81908ffdb7819e3660d9 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0c1171d4819099e0d0e1411059b2 |
completed | May 9, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff10a360f8819098c8c9700b062478 |
completed | May 9, 2026, 10:46 a.m. |
Created at: April 10, 2026, 3:19 a.m.