Triple
T22409162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangerz |
E553953
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Love Money Party
"Love Money Party" is a hip hop-influenced track by Miley Cyrus from her 2013 album *Bangerz*, known for its heavy beats and party-centric lyrics.
|
E1535506
|
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: Love Money Party | Statement: [Bangerz, hasTrack, Love Money Party]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Money Party Context triple: [Bangerz, hasTrack, Love Money Party]
-
A.
Mucho Money
"Mucho Money" is the B-side track to the 1981 Latin dance hit single "Conga" by Miami Sound Machine.
-
B.
Partytime
"Partytime" is a song featured on the album *The Cookbook* by Missy Elliott.
-
C.
Partytime
"Partytime" is a song by the American punk band Born to Mack.
-
D.
Party Hard
"Party Hard" is a high-energy rock anthem by Andrew W.K. that became his signature song and a defining track of early-2000s party metal.
-
E.
Tons of Money
Tons of Money is a classic British farce, originally a 1922 stage play, known for its rapid-fire misunderstandings and mistaken identities surrounding an impoverished inventor’s inheritance scheme.
- 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: Love Money Party Triple: [Bangerz, hasTrack, Love Money Party]
Generated description
"Love Money Party" is a hip hop-influenced track by Miley Cyrus from her 2013 album *Bangerz*, known for its heavy beats and party-centric lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Money Party Target entity description: "Love Money Party" is a hip hop-influenced track by Miley Cyrus from her 2013 album *Bangerz*, known for its heavy beats and party-centric lyrics.
-
A.
Mucho Money
"Mucho Money" is the B-side track to the 1981 Latin dance hit single "Conga" by Miami Sound Machine.
-
B.
Partytime
"Partytime" is a song featured on the album *The Cookbook* by Missy Elliott.
-
C.
Partytime
"Partytime" is a song by the American punk band Born to Mack.
-
D.
Party Hard
"Party Hard" is a high-energy rock anthem by Andrew W.K. that became his signature song and a defining track of early-2000s party metal.
-
E.
Tons of Money
Tons of Money is a classic British farce, originally a 1922 stage play, known for its rapid-fire misunderstandings and mistaken identities surrounding an impoverished inventor’s inheritance scheme.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158badc008190a3f5afb520a25e5f |
completed | April 29, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0e2a0208190b0629e6b2ded7248 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af1e319848190bd12804239ba4d89 |
completed | May 18, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af29431648190a506d5e1a4fc9ce7 |
completed | May 18, 2026, 11:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.