Triple

T10983066
Position Surface form Disambiguated ID Type / Status
Subject Jill Clayburgh E259556 entity
Predicate notableWork P4 FINISHED
Object Dirty Sexy Money E357007 NE FINISHED

How this triple was built (2 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: Dirty Sexy Money | Statement: [Jill Clayburgh, notableWork, Dirty Sexy Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirty Sexy Money
Context triple: [Jill Clayburgh, notableWork, Dirty Sexy Money]
  • A. Dirty Sexy Money chosen
    Dirty Sexy Money is an American television drama series that follows a lawyer who becomes entangled in the scandals and secrets of a wealthy New York family.
  • B. Dirty Money
    "Dirty Money" is a track by rapper Pusha T from his critically acclaimed 2006 album *Hell Hath No Fury*.
  • 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. Sex, Love & Money
    "Sex, Love & Money" is a song by Mos Def from his album *The New Danger*, blending hip hop with rock and soul influences.
  • E. Better Than Sex
    Better Than Sex is a 2000 Australian romantic comedy film that follows a brief but intense love affair between two strangers who meet at a party in Sydney.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772eb518c8190a885a417815f2ff6 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344c77d6c8190a9b5e2cc967fb031 completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.