Triple
T20217784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Kart 7 |
E495172
|
entity |
| Predicate | includesCharacter |
P5716
|
FINISHED |
| Object | Wiggler |
—
|
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: Wiggler | Statement: [Mario Kart 7, includesCharacter, Wiggler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiggler Context triple: [Mario Kart 7, includesCharacter, Wiggler]
-
A.
Wiggler
chosen
Wiggler is a segmented, caterpillar-like enemy from the Super Mario series that becomes enraged and moves faster when jumped on.
-
B.
Weazel
Weazel is a minor character portrayed by Warwick Davis in the Star Wars universe, appearing as a gambler and spectator in the podracing scenes of "Star Wars: Episode I – The Phantom Menace."
-
C.
Yowrie
Yowrie is a small rural locality in the Bega Valley region of New South Wales, Australia, known for its agricultural landscape and proximity to natural bushland.
-
D.
Wazoo
Wazoo is an alternative form or spelling of the name "Wazzu," often used informally or colloquially.
-
E.
Olewig
Olewig is a district of the German city of Trier, known for its wine-growing tradition and scenic location along the Moselle.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edaeeb08190bb74bd4a10aceca2 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.