Triple
T20918586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Wallace |
E515140
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Mo Money Mo Problems |
—
|
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: Mo Money Mo Problems | Statement: [Christopher Wallace, notableSong, Mo Money Mo Problems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mo Money Mo Problems Context triple: [Christopher Wallace, notableSong, Mo Money Mo Problems]
-
A.
Mo Money Mo Problems
chosen
"Mo Money Mo Problems" is a 1997 hip-hop single by The Notorious B.I.G. featuring Puff Daddy and Mase, known for its catchy Diana Ross sample and exploration of the complications that come with wealth and fame.
-
B.
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.
-
C.
Dirty Money
"Dirty Money" is a track by rapper Pusha T from his critically acclaimed 2006 album *Hell Hath No Fury*.
-
D.
Dirty Money
"Dirty Money" is a song by the Southern hip hop duo UGK, known for its gritty depiction of street life and hustling.
-
E.
Dirty Money
Dirty Money is a documentary television series that investigates corporate greed, corruption, and financial crime through in-depth case studies.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec647028819082031eb706a62ad5 |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.