Triple
T6376953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exodus |
E143489
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Money Money Money |
E244934
|
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: Money Money Money | Statement: [Exodus, hasTrack, Money Money Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Money Money Money Context triple: [Exodus, hasTrack, Money Money Money]
-
A.
Money Money
"Money Money" is a classic reggae song by Jamaican singer Horace Andy, known for its socially conscious lyrics about wealth and inequality.
-
B.
Money Money
"Money Money" is a song by the Grateful Dead featured on their 1974 studio album *From the Mars Hotel*.
-
C.
Money, Money, Money
chosen
"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.
-
D.
Money
Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
-
E.
Money
"Money" is a well-known musical number from the stage production Cabaret that satirically explores greed and the corrupting influence of wealth.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683d7af881908d66d5230e1bfcb6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da390c081908690ec716aed8fea |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.