Triple
T26618764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Kahuna Burger |
E668135
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fictional restaurant chain |
C7523
|
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 restaurant chain Context triple: [Big Kahuna Burger, instanceOf, fictional restaurant chain]
-
A.
fictional-character-themed restaurant
A fictional-character-themed restaurant is a dining establishment whose decor, menu, staff presentation, and overall experience are designed around one or more specific fictional characters or franchises to create an immersive, story-driven atmosphere.
-
B.
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.
-
C.
restaurant chain
A restaurant chain is a business organization that operates multiple restaurant locations under a common brand, menu, and management system.
-
D.
fictional company
chosen
A fictional company is an imagined business entity created for storytelling, simulation, or illustrative purposes, complete with its own brand, structure, and operations but without real-world legal or commercial existence.
-
E.
restaurant brand
A restaurant brand is a conceptual entity that encapsulates the unique identity, values, visual style, and customer experience associated with a specific dining establishment or chain.
- F. None of above.
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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 27, 2026, 2:20 a.m.