Triple
T11247129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Kawakami |
E266233
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | video game industry figure |
C29425
|
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: video game industry figure Context triple: [Frank Kawakami, instanceOf, video game industry figure]
-
A.
television industry figure
A television industry figure is an individual who plays a significant role in the creation, production, distribution, or executive management of television content and programming.
-
B.
video game character
A video game character is a fictional, interactive entity within a game world that the player controls or encounters, defined by its abilities, appearance, behavior, and role in the game's narrative or mechanics.
-
C.
Nintendo executive
A Nintendo executive is a high-level decision-maker responsible for guiding the company’s strategic direction, overseeing game and hardware portfolios, and managing business operations to sustain Nintendo’s brand and market success.
-
D.
video game fictional entity
A video game fictional entity is any imagined character, creature, object, or construct that exists within the narrative or interactive world of a video game, defined by its designed attributes, behaviors, and role in gameplay or story.
-
E.
video game technology company
A video game technology company is an organization that develops and provides software, hardware, tools, or platforms that enable the creation, optimization, and distribution of interactive digital games.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:31 p.m.