Triple
T11973120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Dubin |
E284969
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | We’re in the Money |
E277939
|
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: We’re in the Money | Statement: [Al Dubin, notableWork, We’re in the Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: We’re in the Money Context triple: [Al Dubin, notableWork, We’re in the Money]
-
A.
We’re in the Money
chosen
"We’re in the Money" is a famous Depression-era show tune from the 1933 film musical Gold Diggers of 1933, celebrated for its upbeat melody and ironic lyrics about sudden wealth.
-
B.
About the Money
"About the Money" is a hip hop single by rapper T.I. featuring Young Thug, known for its catchy hook and prominent presence on his album "Paperwork."
-
C.
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.
-
D.
Get Your Money Up
"Get Your Money Up" is a hip-hop track featured on the album "Undisputed."
-
E.
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.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4597cf818819089b0d897c236b87b |
completed | May 1, 2026, 7:42 a.m. |
Created at: April 8, 2026, 9:46 p.m.