Triple
T36852463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adibou |
E910708
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | educational video game series |
C64076
|
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: educational video game series Context triple: [Adibou, instanceOf, educational video game series]
-
A.
comedy video game series
A comedy video game series is a collection of games that consistently use humor, satire, and comedic scenarios as a central element of their storytelling, characters, and gameplay.
-
B.
puzzle video game series
A puzzle video game series is a collection of related games that challenge players to solve logic, pattern, or spatial problems through progressively complex and often thematically connected gameplay.
-
C.
children's educational television series
A children's educational television series is a program designed to teach young viewers specific skills, knowledge, or values through age-appropriate stories, characters, and interactive or engaging content.
-
D.
handheld electronic game series
A handheld electronic game series is a collection of related portable, self-contained electronic games sharing common branding, themes, or gameplay elements, typically designed for play on dedicated handheld devices.
-
E.
science fiction video game series
A science fiction video game series is a collection of related games set in futuristic or speculative worlds that explore advanced technology, space travel, alien life, or other science-based imaginative concepts through interactive storytelling and gameplay.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.