Triple

T12877196
Position Surface form Disambiguated ID Type / Status
Subject Gina Gershon E307998 entity
Predicate notableWork P4 FINISHED
Object Cleaners
Cleaners is a crime thriller web series featuring Gina Gershon in a lead role as a professional assassin.
 E1006438 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: Cleaners | Statement: [Gina Gershon, notableWork, Cleaners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cleaners
Context triple: [Gina Gershon, notableWork, Cleaners]
  • A. The Cleaner
    The Cleaner is a crime drama television series centered on a recovering addict who leads an unconventional team that helps people overcome their addictions through often morally ambiguous interventions.
  • B. Take ‘Em to the Cleaners
    Take ‘Em to the Cleaners is a release by the hip hop group Consequence, showcasing his lyrical style and contributions to the genre.
  • C. Schoonmaker
    Schoonmaker is a Dutch-origin surname most notably borne by acclaimed film editor Thelma Schoonmaker.
  • D. The Removers
    The Removers is a 1961 spy novel by Donald Hamilton, part of his long-running Matt Helm series featuring a hard-edged American government assassin.
  • E. The Cleaning Lady
    The Cleaning Lady is an American crime drama television series that follows a Cambodian doctor who becomes a cleaning lady for the mob to secure medical treatment for her ailing son.
  • 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: Cleaners
Triple: [Gina Gershon, notableWork, Cleaners]
Generated description
Cleaners is a crime thriller web series featuring Gina Gershon in a lead role as a professional assassin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cleaners
Target entity description: Cleaners is a crime thriller web series featuring Gina Gershon in a lead role as a professional assassin.
  • A. The Cleaner
    The Cleaner is a crime drama television series centered on a recovering addict who leads an unconventional team that helps people overcome their addictions through often morally ambiguous interventions.
  • B. Take ‘Em to the Cleaners
    Take ‘Em to the Cleaners is a release by the hip hop group Consequence, showcasing his lyrical style and contributions to the genre.
  • C. Schoonmaker
    Schoonmaker is a Dutch-origin surname most notably borne by acclaimed film editor Thelma Schoonmaker.
  • D. The Removers
    The Removers is a 1961 spy novel by Donald Hamilton, part of his long-running Matt Helm series featuring a hard-edged American government assassin.
  • E. The Cleaning Lady
    The Cleaning Lady is an American crime drama television series that follows a Cambodian doctor who becomes a cleaning lady for the mob to secure medical treatment for her ailing son.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
NEDg Description generation batch_69f69cc6fa84819093a4317ab355f62b completed May 3, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_69f69d845a9081909b40562825c1c500 completed May 3, 2026, 12:57 a.m.
Created at: April 9, 2026, 5:38 p.m.