Triple

T5693140
Position Surface form Disambiguated ID Type / Status
Subject Bad Moms E125472 entity
Predicate mainCharacter P1183 FINISHED
Object Amy Mitchell
Amy Mitchell is the overworked suburban mother and central protagonist of the comedy film "Bad Moms," who rebels against the pressures of perfect parenting.
 E653738 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: Amy Mitchell | Statement: [Bad Moms, mainCharacter, Amy Mitchell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amy Mitchell
Context triple: [Bad Moms, mainCharacter, Amy Mitchell]
  • A. Amy Ferson
    Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
  • B. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • C. Emily Woodruff
    Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
  • D. Karen Moss
    Karen Moss is the biological mother of television personality and fashion designer Nicole Richie.
  • E. Kelly Roberts
    Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
  • 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: Amy Mitchell
Triple: [Bad Moms, mainCharacter, Amy Mitchell]
Generated description
Amy Mitchell is the overworked suburban mother and central protagonist of the comedy film "Bad Moms," who rebels against the pressures of perfect parenting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amy Mitchell
Target entity description: Amy Mitchell is the overworked suburban mother and central protagonist of the comedy film "Bad Moms," who rebels against the pressures of perfect parenting.
  • A. Amy Ferson
    Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
  • B. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • C. Emily Woodruff
    Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
  • D. Karen Moss
    Karen Moss is the biological mother of television personality and fashion designer Nicole Richie.
  • E. Kelly Roberts
    Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daed5d188190b499151e636d206d completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbc1ff0c8190bc7639a74a5d3af3 completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6873a081908ea4e953430ec20b completed March 28, 2026, 1:49 p.m.
Created at: March 22, 2026, 3:44 p.m.