Triple
T26363753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Mario Maker 2 |
E660275
|
entity |
| Predicate | SuperMarioWorldStyleBasedOn |
P97759
|
FINISHED |
| Object | Super Mario World |
—
|
NE NERFINISHED |
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: Super Mario World | Statement: [Super Mario Maker 2, SuperMarioWorldStyleBasedOn, Super Mario World]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SuperMarioWorldStyleBasedOn Context triple: [Super Mario Maker 2, SuperMarioWorldStyleBasedOn, Super Mario World]
-
A.
roleInSuperMarioLand
Indicates the specific function or part an entity plays within the context of the game Super Mario Land.
-
B.
smashBrosRole
Indicates that one entity has a specific role or function related to the Super Smash Bros. game or its competitive context in relation to another entity.
-
C.
roleInDonkeyKong64
Indicates the role or function an entity has within the context of the game Donkey Kong 64.
-
D.
developedGameBasedOn
chosen
Indicates that one game was created or designed using another game as its source of inspiration, foundation, or reference.
-
E.
roleInDonkeyKongCountry
Indicates the specific role or function an entity has within the context of Donkey Kong Country.
- F. None of above.
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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 26, 2026, 10:53 p.m.