Triple
T33739190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Nice-But-Dim |
E864512
|
entity |
| Predicate | stereotypeOf |
P97370
|
FINISHED |
| Object | upper-class twit |
—
|
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: upper-class twit | Statement: [Tim Nice-But-Dim, stereotypeOf, upper-class twit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stereotypeOf Context triple: [Tim Nice-But-Dim, stereotypeOf, upper-class twit]
-
A.
notableStereotype
chosen
Indicates that a commonly recognized stereotype is associated with the subject in relation to the object.
-
B.
ethnicEponymOf
Indicates that one term is an eponym derived from or naming an ethnic group or people.
-
C.
typicalFigure
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
-
D.
iconicTrait
Indicates that a trait is emblematic or strongly characteristic of an entity, making it widely recognized as a defining feature of that entity.
-
E.
stanceType
Indicates the specific kind or category of position, attitude, or viewpoint one entity holds toward another entity, idea, or issue.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb5571988190bc28f07f2314bb23 |
completed | May 3, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.