Triple
T23804039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nastasya Filippovna Barashkova |
E589652
|
entity |
| Predicate | characterInLiteraryMovement |
P153619
|
FINISHED |
| Object | Russian literature |
—
|
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: Russian literature | Statement: [Nastasya Filippovna Barashkova, characterInLiteraryMovement, Russian literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInLiteraryMovement Context triple: [Nastasya Filippovna Barashkova, characterInLiteraryMovement, Russian literature]
-
A.
literaryRole
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
B.
literarySeriesCharacter
Indicates that a character appears in, is part of, or is associated with a particular literary series.
-
C.
literaryMovement
Indicates the artistic or intellectual movement in literature with which a work, author, or text is associated or to which it belongs.
-
D.
nameInLiterature
Indicates that a particular name is used or appears for an entity within a literary work or context.
-
E.
literaryMovementReception
Indicates how a particular literary movement has been received, interpreted, or evaluated by critics, audiences, or later literary traditions.
- 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c750048c8190899ff611df35b361 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:55 p.m.