Triple
T14941592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shadow Mario |
E372542
|
entity |
| Predicate | weapon |
P6948
|
FINISHED |
| Object | Magic Paintbrush |
E1127952
|
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: Magic Paintbrush | Statement: [Shadow Mario, weapon, Magic Paintbrush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Paintbrush Context triple: [Shadow Mario, weapon, Magic Paintbrush]
-
A.
Magic Paintbrush
chosen
The Magic Paintbrush is a powerful tool in the Mario series that can create and manipulate goop, illusions, and landscapes, often used to cause chaos and alter environments.
-
B.
Paintbrush
Paintbrush is a simple, early bitmap graphics editor for Microsoft Windows that allowed users to create and edit basic digital images.
-
C.
Crayon
Crayon is a Nigerian singer and songwriter signed to Mavin Records, known for his Afropop and Afrobeat-influenced music.
-
D.
Scribble
Scribble is an Apple Pencil feature on iPadOS that converts handwritten input into typed text in real time across compatible apps.
-
E.
Magik Markers
Magik Markers is an American noise rock band known for its abrasive, improvisational sound and association with the underground indie and experimental music scenes.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd69df481908d8b1a5e6add0a7b |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:38 a.m.