Triple
T22020673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega Mimic |
E543835
|
entity |
| Predicate | belongsToArchetype |
P102015
|
FINISHED |
| Object | Mimic creature archetype |
—
|
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: Mimic creature archetype | Statement: [Omega Mimic, belongsToArchetype, Mimic creature archetype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToArchetype Context triple: [Omega Mimic, belongsToArchetype, Mimic creature archetype]
-
A.
hasArchetype
Indicates that one entity serves as the original model, pattern, or prototype upon which another entity is based or conceptually derived.
-
B.
belongsToArchitectureModel
Indicates that something is a component or element that is contained within, defined by, or associated with a particular architecture model.
-
C.
hasArchType
Indicates that one entity possesses or is characterized by a particular architectural type or style.
-
D.
usesCharacterArchetype
chosen
Indicates that one entity employs or incorporates the character archetype represented by another entity in its narrative or design.
-
E.
canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:23 p.m.