Triple
T30691601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Александр Николаевич Бенуа |
E781340
|
entity |
| Predicate | язык творчества |
P170033
|
FINISHED |
| Object | русский |
—
|
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: русский | Statement: [Александр Николаевич Бенуа, язык творчества, русский]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: язык творчества Context triple: [Александр Николаевич Бенуа, язык творчества, русский]
-
A.
creativeLanguage
Indicates that an entity uses language in an original, imaginative, or non-literal way to express ideas.
-
B.
modeOfCreativeExpression
Indicates the manner or medium through which a creative work or artistic idea is expressed or realized.
-
C.
languageOfPoetry
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
D.
literaryLanguage
Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
-
E.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
- F. None of above. chosen
Provenance (4 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b8875ac8190bcd509983fb51b01 |
completed | May 2, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:33 p.m.