Triple
T13725906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Care |
E329152
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Supah Mario |
E908680
|
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: Supah Mario | Statement: [Take Care, producer, Supah Mario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Supah Mario Context triple: [Take Care, producer, Supah Mario]
-
A.
Supah Mario
chosen
Supah Mario is a hip-hop and R&B record producer known for his work with major artists such as Drake, Young Thug, and Lil Uzi Vert.
-
B.
Hotel Mario
Hotel Mario is a 1994 Philips CD-i puzzle-platform video game based on the Mario franchise, infamous for its poor quality and awkward full-motion video cutscenes.
-
C.
Fire Mario
Fire Mario is a powered-up form of Mario in the Super Mario series that allows him to throw fireballs and defeat enemies more easily.
-
D.
Baby Mario
Baby Mario is the infant version of Nintendo’s iconic hero Mario, appearing as a playable character in various Mario spin-off and Yoshi games.
-
E.
Shadow Mario
Shadow Mario is a dark, mischievous doppelgänger of Mario who serves as an antagonist in the Super Mario series, most notably in Super Mario Sunshine.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.