Triple
T21764660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wario Land |
E537245
|
entity |
| Predicate | franchiseShift |
P145863
|
FINISHED |
| Object | first game to give Wario a starring role in a platformer |
—
|
LITERAL 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: first game to give Wario a starring role in a platformer | Statement: [Wario Land, franchiseShift, first game to give Wario a starring role in a platformer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseShift Context triple: [Wario Land, franchiseShift, first game to give Wario a starring role in a platformer]
-
A.
franchiseChange
Indicates a change in the ownership, control, or branding rights of a franchise from one party to another.
-
B.
typeOfFranchiseChange
Indicates a change in the status, ownership, or structure of a franchise relationship between entities.
-
C.
franchisePhase
Indicates the specific stage or phase a franchise is currently in within its overall lifecycle or development process.
-
D.
distributesFranchise
Indicates that one party grants or allocates franchise rights or opportunities to another party.
-
E.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
- F. None of above. chosen
Provenance (4 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.