Triple
T7184810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bush Doctor |
E167541
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mikey Chung |
E647354
|
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: Mikey Chung | Statement: [Bush Doctor, producer, Mikey Chung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikey Chung Context triple: [Bush Doctor, producer, Mikey Chung]
-
A.
Mikey Chung
chosen
Mikey Chung was a Jamaican guitarist and record producer known for his influential work in reggae and collaborations with prominent artists such as Peter Tosh and Black Uhuru.
-
B.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
-
C.
Mikey Welsh
Mikey Welsh was an American bassist and visual artist best known for his tenure with the rock band Weezer in the late 1990s and early 2000s.
-
D.
Joey Chin
Joey Chin is an actor best known for his role in the 1990 crime film "King of New York."
-
E.
Topher Ngo
Topher Ngo is a voice actor and singer best known for his role in Pixar's animated film "Turning Red."
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8df6a6881909c3174f86c9a6b28 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf903f1c819098de137c8c43ca34 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:49 p.m.