Triple
T36049790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doukhobors |
E1042774
|
entity |
| Predicate | fundingSourceForMigration |
P67
|
FINISHED |
| Object | royalties from Leo Tolstoy’s novel "Resurrection" |
—
|
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: royalties from Leo Tolstoy’s novel "Resurrection" | Statement: [Doukhobors, fundingSourceForMigration, royalties from Leo Tolstoy’s novel "Resurrection"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingSourceForMigration Context triple: [Doukhobors, fundingSourceForMigration, royalties from Leo Tolstoy’s novel "Resurrection"]
-
A.
fundingSourceInUniverse
Indicates that one entity serves as the source of funding for another entity within a specific fictional or defined universe or context.
-
B.
fundingSourceProposed
Indicates that a particular source of funding has been suggested or put forward to finance an activity, project, or entity.
-
C.
fundingDestination
Indicates the target entity or purpose to which financial resources are allocated or directed.
-
D.
fundedBy
chosen
Indicates that an entity receives financial support or resources from another entity.
-
E.
permittedFundingFrom
Indicates that providing financial resources from one entity to another is allowed under specified rules or conditions.
- 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:07 p.m.