Triple
T17862530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frau Farbissina |
E446109
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Austin Powers character |
C39218
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Austin Powers character Context triple: [Frau Farbissina, instanceOf, Austin Powers character]
-
A.
Despicable Me character
A Despicable Me character is a whimsical, often exaggerated individual from the Despicable Me universe whose personality, appearance, and actions contribute to the franchise’s blend of comedy, heart, and mischief.
-
B.
Garfield character
A Garfield character is any fictional person, animal, or entity that exists within the Garfield comic strip universe and contributes to its humor, narrative, or thematic elements.
-
C.
Fast & Furious character
A Fast & Furious character is a high-octane persona defined by exceptional driving skills, deep loyalty to their chosen “family,” and a willingness to bend or break the law in pursuit of adrenaline, justice, or redemption.
-
D.
Top Gun character
A Top Gun character is a highly skilled, larger-than-life naval aviator or associated figure whose personality, relationships, and aerial combat prowess drive the drama and action within the Top Gun universe.
-
E.
character from Megamind
A character from Megamind is an individual, often exaggerated and comedic, who inhabits the film’s superhero-satire world and contributes to its narrative through distinct personality traits, visual design, and relationships with other characters.
- F. None of above. chosen
Provenance (1 batch)
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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
Created at: April 10, 2026, 10:17 a.m.