Triple
T9056212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pay Me My Money Down |
E217003
|
entity |
| Predicate | chorusLine |
P1369
|
FINISHED |
| Object | Pay me my money down |
E217003
|
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: Pay me my money down | Statement: [Pay Me My Money Down, chorusLine, Pay me my money down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pay me my money down Context triple: [Pay Me My Money Down, chorusLine, Pay me my money down]
-
A.
Pay Me My Money Down
chosen
"Pay Me My Money Down" is a traditional American work song popularized in the folk revival and later notably covered by Bruce Springsteen.
-
B.
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.
-
C.
Payment on Demand
"Payment on Demand" is a 1951 American drama film starring Bette Davis as a woman confronting the collapse of her marriage and the consequences of her social ambitions.
-
D.
Get Your Money Up
"Get Your Money Up" is a hip-hop track featured on the album "Undisputed."
-
E.
One More Payment
"One More Payment" is a song featured on the country music album "Put Yourself in My Shoes" by Clint Black.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a75d8e881909414d745ec054182 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebdb01a8819084365c9b73506a28 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.