Triple
T29472356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Белое солнце пустыни |
E747543
|
entity |
| Predicate | известенБлагодаря |
P161540
|
FINISHED |
| Object | цитаты, ставшие крылатыми |
—
|
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: цитаты, ставшие крылатыми | Statement: [Белое солнце пустыни, известенБлагодаря, цитаты, ставшие крылатыми]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: известенБлагодаря Context triple: [Белое солнце пустыни, известенБлагодаря, цитаты, ставшие крылатыми]
-
A.
известенС
Indicates that one entity is known or recognized by another entity.
-
B.
известенКак
Indicates that one entity is known or recognized by a particular name, title, or role.
-
C.
известноКак
Indicates that one entity is known or referred to by another name, designation, or alias.
-
D.
познатПо
Indicates that an entity is known or recognized for a particular quality, achievement, role, or characteristic.
-
E.
bekanntFür
chosen
Indicates that one entity is known or recognized for a particular quality, achievement, work, or characteristic associated with another entity.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bd2451c8190ad14604068f308d8 |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:58 p.m.