Triple
T9568745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Иван Кожедуб |
E230856
|
entity |
| Predicate | прозвище |
P37280
|
FINISHED |
| Object | самый результативный советский ас Второй мировой войны |
—
|
LITERAL FINISHED |
How this triple was built (2 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: самый результативный советский ас Второй мировой войны | Statement: [Иван Кожедуб, прозвище, самый результативный советский ас Второй мировой войны]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: прозвище Context triple: [Иван Кожедуб, прозвище, самый результативный советский ас Второй мировой войны]
-
A.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
B.
hasAffectionateNicknameFor
Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to another entity.
-
C.
isOfficialNicknameOf
chosen
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
D.
honorificNickname
Indicates that one entity is referred to by a respectful or honorific nickname by another entity or in a given context.
-
E.
childhoodNickname
Indicates that one entity is a nickname that was used to refer to the other entity during their childhood.
- F. None of above.
Provenance (3 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.