Triple
T20187471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinopio’s Cafe |
E492900
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fictional-character-themed restaurant |
C42895
|
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: fictional-character-themed restaurant Context triple: [Kinopio’s Cafe, instanceOf, fictional-character-themed restaurant]
-
A.
fictional diner
A fictional diner is an imagined, often nostalgically styled restaurant setting used in stories to provide a familiar social hub where characters gather, interact, and reveal aspects of the narrative’s world.
-
B.
superhero-themed restaurant
A superhero-themed restaurant is a dining establishment that immerses guests in a comic-book universe through character-inspired decor, menu items, and interactive experiences.
-
C.
fictional tavern
A fictional tavern is an imagined social gathering place, often in fantasy or historical settings, where characters meet to eat, drink, rest, exchange information, and advance the story’s plot.
-
D.
fictional hotel
A fictional hotel is an imagined lodging establishment, often richly detailed in setting, atmosphere, and services, that serves as a narrative backdrop or central location in stories, films, games, or other creative works.
-
E.
fictionalCharacter
A fictionalCharacter is an invented person or being in a narrative work, defined by attributes, relationships, and actions that drive the story and embody its themes.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
Created at: April 11, 2026, 11:37 p.m.