Triple
T13469282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Brown |
E311585
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
We Need Some Money
"We Need Some Money" is a popular go-go track by Chuck Brown that became one of his signature songs and a staple of the Washington, D.C. go-go scene.
|
E1042742
|
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: We Need Some Money | Statement: [Chuck Brown, notableSong, We Need Some Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: We Need Some Money Context triple: [Chuck Brown, notableSong, We Need Some Money]
-
A.
Money, Money, Money
"Money, Money, Money" is a 1976 pop song by Swedish group ABBA, known for its theatrical style and lyrics about dreaming of wealth to escape financial hardship.
-
B.
The Money
"The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
C.
It’s Only Money
"It’s Only Money" is a 1962 American comedy film starring Jerry Lewis as a TV repairman who becomes entangled in a wealthy family's inheritance scheme.
-
D.
Get Your Money Up
"Get Your Money Up" is a hip-hop track featured on the album "Undisputed."
-
E.
Got Money
"Got Money" is a popular hip-hop single by Lil Wayne featuring T-Pain, known for its club-oriented sound and commercial success in the late 2000s.
- 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: We Need Some Money Triple: [Chuck Brown, notableSong, We Need Some Money]
Generated description
"We Need Some Money" is a popular go-go track by Chuck Brown that became one of his signature songs and a staple of the Washington, D.C. go-go scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: We Need Some Money Target entity description: "We Need Some Money" is a popular go-go track by Chuck Brown that became one of his signature songs and a staple of the Washington, D.C. go-go scene.
-
A.
Money, Money, Money
"Money, Money, Money" is a 1976 pop song by Swedish group ABBA, known for its theatrical style and lyrics about dreaming of wealth to escape financial hardship.
-
B.
The Money
"The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
C.
It’s Only Money
"It’s Only Money" is a 1962 American comedy film starring Jerry Lewis as a TV repairman who becomes entangled in a wealthy family's inheritance scheme.
-
D.
Get Your Money Up
"Get Your Money Up" is a hip-hop track featured on the album "Undisputed."
-
E.
Got Money
"Got Money" is a popular hip-hop single by Lil Wayne featuring T-Pain, known for its club-oriented sound and commercial success in the late 2000s.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74629f1408190b54194fe794be39a |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f7493168a481908f99283914b39db5 |
completed | May 3, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7499aa5ac8190a93afda115694795 |
completed | May 3, 2026, 1:11 p.m. |
Created at: April 9, 2026, 9:42 p.m.