Triple
T23053607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winfred-Louder department store |
E574092
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | fictional department store |
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 department store Context triple: [Winfred-Louder department store, instanceOf, fictional department store]
-
A.
fictional bookstore
A fictional bookstore is an imagined retail space, often in literature or media, that sells books and related items while serving as a narrative setting for character interactions, plot development, and thematic exploration.
-
B.
fictional museum
A fictional museum is an imagined institution that curates, preserves, and exhibits invented artifacts, artworks, histories, or knowledge within a narrative or conceptual framework.
-
C.
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.
-
D.
fictional corporate office
A fictional corporate office is an imagined workplace setting that represents the structure, culture, and daily operations of a business organization, often used as a backdrop for storytelling, satire, or exploration of professional dynamics.
-
E.
fictional barbershop
A fictional barbershop is an imagined grooming establishment that serves as a narrative setting where characters interact, share stories, and experience personal transformations amid haircuts and shaves.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 3:54 p.m.