Triple
T21846267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thot Shit |
E539381
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | LilJuMadeDaBeat |
—
|
NE NERFINISHED |
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: LilJuMadeDaBeat | Statement: [Thot Shit, producer, LilJuMadeDaBeat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LilJuMadeDaBeat Context triple: [Thot Shit, producer, LilJuMadeDaBeat]
-
A.
LilJuMadeDaBeat
chosen
LilJuMadeDaBeat is an American record producer best known for crafting hard-hitting trap beats for prominent hip-hop artists, including frequent collaborations with Megan Thee Stallion.
-
B.
Lil Dap
Lil Dap is an American rapper best known as a founding member of the New York hip hop duo Group Home, associated with the Gang Starr Foundation.
-
C.
Lil AK
Lil AK is a rapper and media personality best known as DJ Akademiks’ rap alter ego, appearing on tracks like those from the project "TattleTales."
-
D.
K1lla Beatz
K1lla Beatz is a music producer known for crafting hip-hop and rap instrumentals, including work on the project "4:21... The Day After."
-
E.
Lil' JJ
Lil' JJ is an American comedian and actor known for his stand-up work and roles in film and television, particularly during the mid-2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd546fb48190a7b815233650c2e7 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.