Triple
T21723700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conga |
E536223
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object |
Mucho Money
"Mucho Money" is the B-side track to the 1981 Latin dance hit single "Conga" by Miami Sound Machine.
|
E1498284
|
NE FINISHED |
How this triple was built (4 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: Mucho Money | Statement: [Conga, hasBside, Mucho Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mucho Money Context triple: [Conga, hasBside, Mucho Money]
-
A.
Tons of Money
Tons of Money is a classic British farce, originally a 1922 stage play, known for its rapid-fire misunderstandings and mistaken identities surrounding an impoverished inventor’s inheritance scheme.
-
B.
Moneymore
Moneymore is a village in County Londonderry, Northern Ireland, known for its historic plantation-era architecture and rural setting within the Mid Ulster area.
-
C.
Big Money
"Big Money" is a song by the American hardcore punk band Atomizer, known for its aggressive sound and raw energy.
-
D.
Blowin' Money Fast
"Blowin' Money Fast" is a popular hip-hop track by Rick Ross featuring Styles P, known for its gritty portrayal of lavish street life and drug-dealer bravado.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mucho Money Triple: [Conga, hasBside, Mucho Money]
Generated description
"Mucho Money" is the B-side track to the 1981 Latin dance hit single "Conga" by Miami Sound Machine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mucho Money Target entity description: "Mucho Money" is the B-side track to the 1981 Latin dance hit single "Conga" by Miami Sound Machine.
-
A.
Tons of Money
Tons of Money is a classic British farce, originally a 1922 stage play, known for its rapid-fire misunderstandings and mistaken identities surrounding an impoverished inventor’s inheritance scheme.
-
B.
Moneymore
Moneymore is a village in County Londonderry, Northern Ireland, known for its historic plantation-era architecture and rural setting within the Mid Ulster area.
-
C.
Big Money
"Big Money" is a song by the American hardcore punk band Atomizer, known for its aggressive sound and raw energy.
-
D.
Blowin' Money Fast
"Blowin' Money Fast" is a popular hip-hop track by Rick Ross featuring Styles P, known for its gritty portrayal of lavish street life and drug-dealer bravado.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24bb8da08190a590ca8cb7fa5c8c |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a260362a48190a33a5a892720e49d |
completed | May 17, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a26bfae908190b7582ae94fd9b4df |
completed | May 17, 2026, 8:36 p.m. |
Created at: April 16, 2026, 6:48 p.m.