Triple
T3639447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Will Made-It |
E77150
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Juicy J |
E172018
|
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: Juicy J | Statement: [Mike Will Made-It, associatedAct, Juicy J]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juicy J Context triple: [Mike Will Made-It, associatedAct, Juicy J]
-
A.
Juicy J
chosen
Juicy J is an American rapper, producer, and founding member of the hip hop group Three 6 Mafia, known for his influential role in Southern rap and numerous high-profile collaborations.
-
B.
Jeezy
Jeezy is an American rapper from Atlanta known for his influential role in popularizing trap music in the mid-2000s.
-
C.
Jadakiss
Jadakiss is an American rapper from Yonkers, New York, known for his gritty lyricism, distinctive raspy voice, and work both as a solo artist and member of The LOX.
-
D.
Gucci Mane
Gucci Mane is an influential American rapper and trap music pioneer from Atlanta known for his prolific output and major impact on Southern hip hop.
-
E.
Juggy D
Juggy D is a British-Indian Punjabi singer known for his contributions to the UK bhangra and Asian underground music scenes.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc32b83188190bfc0ed4dc8f66730 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c6559c88190a0ae63d0f05d5d75 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 8, 2026, 3:24 p.m.