Triple
T3194644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-God |
E66904
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Masta Killa |
E65378
|
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: Masta Killa | Statement: [U-God, associatedAct, Masta Killa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masta Killa Context triple: [U-God, associatedAct, Masta Killa]
-
A.
Masta Killa
chosen
Masta Killa is an American rapper best known as a member of the influential hip hop group Wu-Tang Clan.
-
B.
Killa Season
Killa Season is a 2006 album and accompanying crime drama film by rapper Cam'ron that blends gritty street narratives with his signature Harlem swagger.
-
C.
Mama Killa
Mama Killa is the Incan moon goddess, revered as a protector of women and regulator of time through the lunar calendar.
-
D.
Scarface
Scarface is the notorious nickname of American gangster Al Capone, one of the most infamous crime bosses of the Prohibition era.
-
E.
Scarface
Scarface is a 1983 crime drama film chronicling the violent rise and fall of Cuban immigrant drug lord Tony Montana in Miami’s cocaine underworld.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada714dbcc8190a7ad21b3c957f151 |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33411537081908624477fca92296d |
completed | March 12, 2026, 9:45 p.m. |
Created at: March 8, 2026, 3:07 p.m.