Triple
T15793932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Blue |
E382927
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | chess-playing computer |
C8758
|
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: chess-playing computer Context triple: [Deep Blue, instanceOf, chess-playing computer]
-
A.
game-playing AI
chosen
A game-playing AI is an artificial intelligence system designed to analyze game states, make strategic decisions, and execute actions to achieve optimal performance or victory within a defined set of game rules.
-
B.
chess player
A chess player is an individual who engages in the game of chess by applying strategic thinking, pattern recognition, and calculated decision-making to compete against an opponent under established rules.
-
C.
world chess champion
A world chess champion is the player who holds the officially recognized title as the strongest competitive chess player in the world, typically determined through a formal world championship cycle or match.
-
D.
test of machine intelligence
A test of machine intelligence is a systematic procedure or set of tasks designed to evaluate a machine's ability to exhibit behaviors or problem-solving capabilities that are typically associated with human cognitive processes.
-
E.
artificial intelligence competition
An artificial intelligence competition is an organized event where participants develop and pit AI systems against each other to solve defined tasks or challenges under specified rules and evaluation criteria.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:48 a.m.