Triple
T30763046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Buddenbrook |
E783286
|
entity |
| Predicate | literaryMovementOfWorkAppearsIn |
P1923
|
FINISHED |
| Object | German realism |
—
|
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: German realism | Statement: [Jean Buddenbrook, literaryMovementOfWorkAppearsIn, German realism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryMovementOfWorkAppearsIn Context triple: [Jean Buddenbrook, literaryMovementOfWorkAppearsIn, German realism]
-
A.
literaryGenreOfWorkAppearedIn
Indicates the literary genre of the work in which a given entity (such as a text, character, or element) appears.
-
B.
literaryMovementReception
Indicates how a particular literary movement has been received, interpreted, or evaluated by critics, audiences, or later literary traditions.
-
C.
literaryWorkSetInRegion
Indicates that a literary work’s narrative or events primarily take place within a specified geographic region.
-
D.
literaryPeriodOfWork
Indicates the literary period or movement to which a particular work belongs.
-
E.
literaryMovement
chosen
Indicates the artistic or intellectual movement in literature with which a work, author, or text is associated or to which it belongs.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 29, 2026, 8:39 p.m.