Triple
T22501535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Money Money |
E556282
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Money Money |
—
|
NE NERFINISHED |
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 | Statement: [Money Money, title, Money Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Money Money Context triple: [Money Money, title, Money Money]
-
A.
Money Money
chosen
"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
"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 (song)
"Money" is a pop song by American singer-songwriter Matt Morris that showcases his soulful vocals and socially conscious lyricism.
-
E.
Money (Money)
"Money (Money)" is a musical number from the stage and film versions of Cabaret, performed in the Kit Kat Klub as a satirical commentary on greed and the corrupting power of wealth.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb5ddd48190b1d99b936afeda37 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.