Triple
T25005490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czernobog |
E625829
|
entity |
| Predicate | occupationInAmericanGods |
P9987
|
FINISHED |
| Object | former deity |
—
|
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: former deity | Statement: [Czernobog, occupationInAmericanGods, former deity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationInAmericanGods Context triple: [Czernobog, occupationInAmericanGods, former deity]
-
A.
occupationBeforeDeification
Indicates the role, job, or position an entity held prior to being deified or elevated to divine status.
-
B.
partOfPantheon
Indicates that an entity is a member or constituent deity of a particular pantheon or religious tradition.
-
C.
mythologicalRole
chosen
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
D.
eraOfOccupation
Indicates the time period during which an occupation or role was held or practiced.
-
E.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
- 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_69f44b1002e08190a764c1b557d39c23 |
completed | May 1, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:05 a.m.