Triple
T25005488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czernobog |
E625829
|
entity |
| Predicate | portrayedAsInAmericanGods |
P55200
|
FINISHED |
| Object | cynical |
—
|
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: cynical | Statement: [Czernobog, portrayedAsInAmericanGods, cynical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedAsInAmericanGods Context triple: [Czernobog, portrayedAsInAmericanGods, cynical]
-
A.
portraysDeity
Indicates that one entity represents, depicts, or characterizes another entity as a deity or divine being.
-
B.
depictedWithDeity
Indicates that an entity is shown or represented together with a particular deity in some form of depiction.
-
C.
depictedDeity
Indicates that one entity is a deity who is shown or represented in an image, artwork, or visual depiction associated with another entity.
-
D.
wasPortrayedAs
chosen
Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
-
E.
roleOfReferencedDeity
Indicates that one entity specifies the function, status, or position held by a deity that is referenced in relation to another entity or context.
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:05 a.m.