Triple
T5920449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From the Mars Hotel |
E131685
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Money Money
"Money Money" is a song by the Grateful Dead featured on their 1974 studio album *From the Mars Hotel*.
|
E556282
|
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: Money Money | Statement: [From the Mars Hotel, hasTrack, Money Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Money Money Context triple: [From the Mars Hotel, hasTrack, 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, 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.
-
C.
Money
Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
-
D.
Money
"Money" is a well-known musical number from the stage production Cabaret that satirically explores greed and the corrupting influence of wealth.
-
E.
Money
"Money" is a satirical comedy play by Edward Bulwer-Lytton that critiques the social power and moral influence of wealth in Victorian society.
- 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: Money Money Triple: [From the Mars Hotel, hasTrack, Money Money]
Generated description
"Money Money" is a song by the Grateful Dead featured on their 1974 studio album *From the Mars Hotel*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Money Money Target entity description: "Money Money" is a song by the Grateful Dead featured on their 1974 studio album *From the Mars Hotel*.
-
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, 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.
-
C.
Money
Money is a personal finance magazine and media brand that provides advice and information on investing, saving, budgeting, and financial planning for consumers.
-
D.
Money
"Money" is a well-known musical number from the stage production Cabaret that satirically explores greed and the corrupting influence of wealth.
-
E.
Money
"Money" is a track by American rapper Ludacris from his studio album *Ludaversal*.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038019ea081908e652d74ff23f076 |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c03a95688190bfd51d7ada1e538f |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c2513aa88190866a59e0b75ef93f |
completed | March 23, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c31cd8808190b2f5c7c83f2e4c72 |
completed | March 23, 2026, 4:35 a.m. |
Created at: March 22, 2026, 4 p.m.