Triple
T16849360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U Mad |
E409628
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Smoko Ono |
E1236688
|
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: Smoko Ono | Statement: [U Mad, writer, Smoko Ono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoko Ono Context triple: [U Mad, writer, Smoko Ono]
-
A.
Smoko Ono
chosen
Smoko Ono is a Chicago-based hip-hop producer and DJ known for his work with artists like Chance the Rapper and Vic Mensa.
-
B.
Santa J. Ono
Santa J. Ono is a Canadian-American biomedical researcher and academic leader who has served as president of several major universities, including the University of Michigan.
-
C.
Isamu
Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
-
D.
Ono
Ono is a Japanese surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
E.
Ono
Ono is a keen-eyed egret from Disney Junior’s animated series “The Lion Guard,” serving as the team’s observant and intelligent lookout.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b377b5d881909f0878dd9957f3bc |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a4c2a881908d2797f6e61792d3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.