Triple
T15408859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Market |
E368530
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Money Dance
Money Dance is a rhythm-based minigame in the video game Black Market where players perform dance moves to earn in-game currency.
|
E1154382
|
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 Dance | Statement: [Black Market, hasPart, Money Dance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Money Dance Context triple: [Black Market, hasPart, Money Dance]
-
A.
All Money In
All Money In is an independent record label founded by rapper and entrepreneur Nipsey Hussle to release his music and support artists from his community.
-
B.
Dirty Money
"Dirty Money" is a song by the Southern hip hop duo UGK, known for its gritty depiction of street life and hustling.
-
C.
Dirty Money
Dirty Money is an American hip hop and R&B girl group formed by Sean "Diddy" Combs, known for blending soulful vocals with contemporary rap and dance production.
-
D.
Dirty Money
Dirty Money is a documentary television series that investigates corporate greed, corruption, and financial crime through in-depth case studies.
-
E.
Dirty Money
"Dirty Money" is a track by rapper Pusha T from his critically acclaimed 2006 album *Hell Hath No Fury*.
- 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 Dance Triple: [Black Market, hasPart, Money Dance]
Generated description
Money Dance is a rhythm-based minigame in the video game Black Market where players perform dance moves to earn in-game currency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Money Dance Target entity description: Money Dance is a rhythm-based minigame in the video game Black Market where players perform dance moves to earn in-game currency.
-
A.
All Money In
All Money In is an independent record label founded by rapper and entrepreneur Nipsey Hussle to release his music and support artists from his community.
-
B.
Dirty Money
Dirty Money is an American hip hop and R&B girl group formed by Sean "Diddy" Combs, known for blending soulful vocals with contemporary rap and dance production.
-
C.
Dirty Money
"Dirty Money" is a song by the Southern hip hop duo UGK, known for its gritty depiction of street life and hustling.
-
D.
Dirty Money
Dirty Money is a documentary television series that investigates corporate greed, corruption, and financial crime through in-depth case studies.
-
E.
Dirty Money
"Dirty Money" is a track by rapper Pusha T from his critically acclaimed 2006 album *Hell Hath No Fury*.
- 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_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141babdc8190bac03e8a294984ce |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14d3e78881909692d5594bc941d8 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:20 a.m.