Triple

T14619047
Position Surface form Disambiguated ID Type / Status
Subject Isabelle Nélisse E343167 entity
Predicate notableWork P4 FINISHED
Object Mommy
"Mommy" is a critically acclaimed 2014 Canadian drama film by Xavier Dolan that explores the turbulent relationship between a widowed mother and her troubled teenage son.
E1111824 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: Mommy | Statement: [Isabelle Nélisse, notableWork, Mommy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mommy
Context triple: [Isabelle Nélisse, notableWork, Mommy]
  • A. Mommy
    Mommy is a domineering, materialistic matriarch and central figure in Edward Albee’s absurdist one-act play "The American Dream."
  • B. Momma
    "Momma" is a reflective, jazz-infused hip-hop track by Kendrick Lamar from his critically acclaimed album *To Pimp a Butterfly*, exploring themes of identity, home, and self-discovery.
  • C. Momma
    Momma is a track featured on the hip-hop album "Yellow Tape."
  • D. Mama
    Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
  • E. Mama
    "Mama" is a dark, emotionally intense 1983 song by the English rock band Genesis, known for its haunting atmosphere and Phil Collins's distinctive vocal delivery.
  • 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: Mommy
Triple: [Isabelle Nélisse, notableWork, Mommy]
Generated description
"Mommy" is a critically acclaimed 2014 Canadian drama film by Xavier Dolan that explores the turbulent relationship between a widowed mother and her troubled teenage son.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mommy
Target entity description: "Mommy" is a critically acclaimed 2014 Canadian drama film by Xavier Dolan that explores the turbulent relationship between a widowed mother and her troubled teenage son.
  • A. Mommy
    Mommy is a domineering, materialistic matriarch and central figure in Edward Albee’s absurdist one-act play "The American Dream."
  • B. Momma
    "Momma" is a reflective, jazz-infused hip-hop track by Kendrick Lamar from his critically acclaimed album *To Pimp a Butterfly*, exploring themes of identity, home, and self-discovery.
  • C. Momma
    Momma is a track featured on the hip-hop album "Yellow Tape."
  • D. Mama
    "Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
  • E. Mama
    Mama is a 2013 supernatural horror film known for its eerie ghost story about two feral sisters and the mysterious maternal entity that follows them.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cd890c8190902c9b526babe6d3 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd78d03208190a4ec058db33a83ff completed May 8, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69fdd7eae73081908252c5b02ef3c9ab completed May 8, 2026, 12:32 p.m.
Created at: April 10, 2026, 1:25 a.m.