Triple
T15328569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock City |
E366474
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sha Money XL |
E452141
|
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: Sha Money XL | Statement: [Rock City, producer, Sha Money XL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sha Money XL Context triple: [Rock City, producer, Sha Money XL]
-
A.
Sha Money XL
chosen
Sha Money XL is an American hip-hop producer and music executive best known for his work with G-Unit and 50 Cent, helping shape the sound of early-2000s New York rap.
-
B.
Cash Money
Cash Money is a prominent American record label known for launching and popularizing Southern hip hop artists such as Lil Wayne, Juvenile, and Drake.
-
C.
Mo' Money
Mo' Money is a 1992 American comedy film starring Damon Wayans, known for its blend of romance, crime, and humor set against a credit card fraud scheme.
-
D.
Na Money
"Na Money" is a popular Afrobeat song by Nigerian artist Timeless, known for its catchy rhythm and themes of wealth and enjoyment.
-
E.
The Money
"The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8af92a88190bd47f1a484f25eb1 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.