Triple
T4037121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vic Mensa |
E83852
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Savemoney |
E73400
|
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: Savemoney | Statement: [Vic Mensa, memberOf, Savemoney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savemoney Context triple: [Vic Mensa, memberOf, Savemoney]
-
A.
SaveMoney
chosen
SaveMoney is a Chicago-based hip hop collective and creative crew known for launching artists like Chance the Rapper and Vic Mensa.
-
B.
Planet Money
Planet Money is a popular NPR podcast and radio show that explains complex economic and financial topics through accessible, story-driven journalism.
-
C.
Get Your Money
"Get Your Money" is a track by American musician will.i.am from his 2007 solo album *Songs About Girls*, blending hip hop and pop influences.
-
D.
Savings Credit
Savings Credit is a means-tested benefit in the UK that provides additional financial support to certain older people who have modest retirement savings or income.
-
E.
Money
Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb349e648190b9f227df4cd76fa0 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564436788190aff89ebfeeed6d9b |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.