Triple
T15398436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Sugar |
E368241
|
entity |
| Predicate | released |
P16923
|
FINISHED |
| Object |
Moon Money
Moon Money is an experimental electronic music release by producer Hot Sugar, known for its unconventional sound design and sample-based compositions.
|
E1154101
|
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: Moon Money | Statement: [Hot Sugar, released, Moon Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moon Money Context triple: [Hot Sugar, released, Moon Money]
-
A.
Paisas
Paisas are a culturally distinct group from Colombia’s Andean region, especially Antioquia, known for their entrepreneurial spirit, coffee-growing heritage, and characteristic Spanish accent.
-
B.
The Money
"The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
C.
Na Money
"Na Money" is a popular Afrobeat song by Nigerian artist Timeless, known for its catchy rhythm and themes of wealth and enjoyment.
-
D.
Mr Money
"Mr Money" is a breakout hit single by Nigerian singer Asake that helped establish his signature Afro-fusion street-pop sound.
-
E.
Mooncoin
Mooncoin is a small village in County Kilkenny, Ireland, known for its strong hurling tradition and association with the popular Irish ballad "The Rose of Mooncoin."
- 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: Moon Money Triple: [Hot Sugar, released, Moon Money]
Generated description
Moon Money is an experimental electronic music release by producer Hot Sugar, known for its unconventional sound design and sample-based compositions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moon Money Target entity description: Moon Money is an experimental electronic music release by producer Hot Sugar, known for its unconventional sound design and sample-based compositions.
-
A.
Paisas
Paisas are a culturally distinct group from Colombia’s Andean region, especially Antioquia, known for their entrepreneurial spirit, coffee-growing heritage, and characteristic Spanish accent.
-
B.
The Money
"The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
C.
Na Money
"Na Money" is a popular Afrobeat song by Nigerian artist Timeless, known for its catchy rhythm and themes of wealth and enjoyment.
-
D.
Mr Money
"Mr Money" is a breakout hit single by Nigerian singer Asake that helped establish his signature Afro-fusion street-pop sound.
-
E.
Mooncoin
Mooncoin is a small village in County Kilkenny, Ireland, known for its strong hurling tradition and association with the popular Irish ballad "The Rose of Mooncoin."
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13542c908190abf765b0530c76ce |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff14042ce8819084817836b096f175 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14745a8c81909b10d6b21b88b50b |
completed | May 9, 2026, 11:03 a.m. |
Created at: April 10, 2026, 3:19 a.m.