Triple
T15877967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Koopa |
E384997
|
entity |
| Predicate | voicedBy |
P2181
|
FINISHED |
| Object | Scott Burns |
E367857
|
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: Scott Burns | Statement: [King Koopa, voicedBy, Scott Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Burns Context triple: [King Koopa, voicedBy, Scott Burns]
-
A.
Scott Burns
chosen
Scott Burns is an American voice actor best known for portraying Bowser in several Nintendo Mario video games during the early 2000s.
-
B.
Scott Burns
Scott Burns is a renowned American music producer and audio engineer best known for his influential work on classic death metal and extreme metal albums in the late 1980s and early 1990s.
-
C.
Stewart Burns
Stewart Burns is a historian and author known for his works on the American civil rights movement, including scholarship on the Montgomery Bus Boycott.
-
D.
Matt Burnell
Matt Burnell is a British politician who serves as the Member of Parliament representing the constituency of Spence.
-
E.
Michael Burns
Michael Burns is a film producer known for his work on projects such as the psychological horror movie "Bug" (2006).
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb043b6d48190bf9a36a3e00403c0 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.