Triple
T29336009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitti |
E743907
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Artificial intelligence in fiction |
C5782
|
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: Artificial intelligence in fiction Context triple: [Chitti, instanceOf, Artificial intelligence in fiction]
-
A.
artificial intelligence
Artificial intelligence is a field of computer science focused on creating systems that can perform tasks that typically require human intelligence, such as learning, reasoning, perception, and decision-making.
-
B.
foundational artificial intelligence text
A foundational artificial intelligence text is a comprehensive, authoritative work that establishes core theories, methods, and principles of AI, serving as a primary reference for learning and advancing the field.
-
C.
fictional computer
A fictional computer is an imagined computing device, often with advanced or impossible capabilities, that exists only within stories, games, or speculative scenarios.
-
D.
fictional neural interface system
A fictional neural interface system is an imagined technology that directly links the human brain with computers or networks to enable seamless communication, control, and data exchange through thought alone.
-
E.
fictional robot
chosen
A fictional robot is an imagined artificial being, typically mechanical or digital, designed with varying degrees of intelligence and autonomy to perform tasks, interact with characters, or explore themes about technology and humanity in stories.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 28, 2026, 1:31 p.m.