Triple
T7366552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wario |
E169883
|
entity |
| Predicate | notableGame |
P3198
|
FINISHED |
| Object | WarioWare: Touched! |
E658169
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WarioWare: Touched! | Statement: [Wario, notableGame, WarioWare: Touched!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WarioWare: Touched! Context triple: [Wario, notableGame, WarioWare: Touched!]
-
A.
WarioWare
chosen
WarioWare is a fast-paced video game series by Nintendo known for its quirky humor and rapid-fire microgames starring Wario and a cast of eccentric characters.
-
B.
Wario Waft
Wario Waft is Wario’s powerful, chargeable fart-based special attack in the Super Smash Bros. series, known for its explosive knockback when fully charged.
-
C.
Wario Land
Wario Land is a platforming video game starring Nintendo’s anti-hero Wario, known for its treasure-hunting gameplay and inventive level design.
-
D.
Wario Land 3
Wario Land 3 is a puzzle-platforming video game starring Wario, known for its exploration-focused gameplay, invincibility mechanic, and non-linear level design.
-
E.
Wii Sports
Wii Sports is a motion-controlled sports video game compilation for the Nintendo Wii that became a cultural phenomenon and one of the best-selling games of all time.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f163038481909dedbffb4ae7f860 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d9717c819099122cd64f9268fc |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.