Triple
T30691614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Александр Николаевич Бенуа |
E781340
|
entity |
| Predicate | написал |
P2831
|
FINISHED |
| Object | «История живописи всех времён и народов» |
—
|
NE NERFINISHED |
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: «История живописи всех времён и народов» | Statement: [Александр Николаевич Бенуа, написал, «История живописи всех времён и народов»]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: написал Context triple: [Александр Николаевич Бенуа, написал, «История живописи всех времён и народов»]
-
A.
wrote
chosen
Indicates that an entity is the author or creator of a written work involving another entity.
-
B.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
-
C.
writtenTo
Indicates that something has been addressed or directed in written form to a particular recipient.
-
D.
isWritten
Indicates that a text, document, or content has been created or recorded in written form by an agent.
-
E.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
- 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_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. |
Created at: April 29, 2026, 8:33 p.m.