Triple
T9707315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demiurge |
E234931
|
entity |
| Predicate | hasAttributeInGnosticism |
P61016
|
FINISHED |
| Object | ignorant creator |
—
|
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: ignorant creator | Statement: [Demiurge, hasAttributeInGnosticism, ignorant creator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAttributeInGnosticism Context triple: [Demiurge, hasAttributeInGnosticism, ignorant creator]
-
A.
usesAttribute
Indicates that one entity employs, relies on, or makes use of a specific attribute of another entity in performing an action or defining a relationship.
-
B.
hasCommunityAttribute
Indicates that a community possesses or is characterized by a specific attribute or property.
-
C.
hasDeityAspect
Indicates that one entity embodies, represents, or functions as a specific divine aspect or manifestation of another deity.
-
D.
hasArchetype
Indicates that one entity serves as the original model, pattern, or prototype upon which another entity is based or conceptually derived.
-
E.
hasSignificantAttribute
chosen
Indicates that an entity possesses an attribute that is especially important, influential, or noteworthy in the context of the relationship.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da4c53c81908ba4bfe4d9ca8814 |
completed | April 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:19 p.m.