Triple
T7598501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alderman William George Bean |
E179920
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | businessperson in the amusement park industry |
C1142
|
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: businessperson in the amusement park industry Context triple: [Alderman William George Bean, instanceOf, businessperson in the amusement park industry]
-
A.
theme park operator
chosen
A theme park operator is an entity responsible for managing and overseeing the daily operations, attractions, staff, safety, and guest experience within a theme park.
-
B.
amusement ride manufacturer
An amusement ride manufacturer is a company or entity that designs, engineers, constructs, and often installs mechanical attractions such as roller coasters, carousels, and other rides for amusement parks and entertainment venues.
-
C.
theme park entertainment
Theme park entertainment encompasses the rides, shows, attractions, and interactive experiences designed to engage and delight visitors within a themed recreational environment.
-
D.
amusement park land
An amusement park land is a themed area within an amusement or theme park that groups together attractions, rides, entertainment, and decor around a cohesive story, setting, or concept.
-
E.
amusement park attraction
An amusement park attraction is a designed entertainment feature or ride that provides guests with thrilling, enjoyable, or immersive experiences within a themed recreational setting.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 3:53 p.m.