Triple

T13004601
Position Surface form Disambiguated ID Type / Status
Subject David Kitay E322251 entity
Predicate notableWork P4 FINISHED
Object Mad Money
Mad Money is a 2008 American heist comedy film about three women who plot to steal soon-to-be-destroyed cash from the Federal Reserve.
 E1016159 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: Mad Money | Statement: [David Kitay, notableWork, Mad Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mad Money
Context triple: [David Kitay, notableWork, Mad Money]
  • A. Dirty Money
    "Dirty Money" is a track by rapper Pusha T from his critically acclaimed 2006 album *Hell Hath No Fury*.
  • 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. The Money
    "The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • D. 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.
  • E. Mr Money
    "Mr Money" is a breakout hit single by Nigerian singer Asake that helped establish his signature Afro-fusion street-pop sound.
  • 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: Mad Money
Triple: [David Kitay, notableWork, Mad Money]
Generated description
Mad Money is a 2008 American heist comedy film about three women who plot to steal soon-to-be-destroyed cash from the Federal Reserve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mad Money
Target entity description: Mad Money is a 2008 American heist comedy film about three women who plot to steal soon-to-be-destroyed cash from the Federal Reserve.
  • A. Dirty Money
    "Dirty Money" is a track by rapper Pusha T from his critically acclaimed 2006 album *Hell Hath No Fury*.
  • 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. The Money
    "The Money" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
  • D. 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.
  • E. Mr Money
    "Mr Money" is a breakout hit single by Nigerian singer Asake that helped establish his signature Afro-fusion street-pop sound.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9a2a448190968833354280e474 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c107f990819093042560b1bc4473 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c43bc75c8190887b8135fbc8bbb5 completed May 3, 2026, 3:42 a.m.
NED2 Entity disambiguation (via description) batch_69f6c50cf3c08190b1ef6379f1f96201 completed May 3, 2026, 3:46 a.m.
Created at: April 9, 2026, 8:47 p.m.