Triple
T25005486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czernobog |
E625829
|
entity |
| Predicate | characterTypeInAmericanGods |
P60013
|
FINISHED |
| Object | Old God |
—
|
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: Old God | Statement: [Czernobog, characterTypeInAmericanGods, Old God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterTypeInAmericanGods Context triple: [Czernobog, characterTypeInAmericanGods, Old God]
-
A.
scriptureCharacterType
Indicates the type or role a character has within a scriptural or religious text (e.g., prophet, deity, disciple).
-
B.
typeOfCharacter
chosen
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
C.
mythologicalRole
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
D.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
E.
helpsCharacterType
Indicates that one character type provides assistance or support to another character type.
- 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_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 6:05 a.m.