Triple
T6621466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason Betha |
E149683
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Ma$e |
E184952
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ma$e | Statement: [Mason Betha, stageName, Ma$e]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ma$e Context triple: [Mason Betha, stageName, Ma$e]
-
A.
Ma$e
chosen
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
-
B.
MAU
MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
-
C.
U Mad
"U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
-
D.
MAI
MAI is the commonly used abbreviation for Romania’s Ministry of Internal Affairs, the government body responsible for internal security, public order, and civil administration.
-
E.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7ccaa481908b383b4fd671fa78 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e448b00081908b336a2bd7fb3820 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.