Triple
T5680432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbine |
E125184
|
entity |
| Predicate | archetype |
P28952
|
FINISHED |
| Object | clever maid |
—
|
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: clever maid | Statement: [Columbine, archetype, clever maid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archetype Context triple: [Columbine, archetype, clever maid]
-
A.
typology
Indicates a classification relationship in which entities are grouped or organized according to shared types, patterns, or structural characteristics.
-
B.
ArchieType
chosen
Indicates a classification relationship where something is identified as an instance or example of a particular archetype or fundamental type.
-
C.
archaellaStructure
Indicates the structural characteristics or organization of archaella, the motility appendages of certain archaea.
-
D.
architectureName
Indicates the specific name or title assigned to an architecture.
-
E.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.