Triple

T13770957
Position Surface form Disambiguated ID Type / Status
Subject Akshaye Khanna E330878 entity
Predicate notableWork P4 FINISHED
Object Mom
"Mom" is a 2017 Indian thriller film starring Sridevi as a vengeful mother, with Akshaye Khanna in a key supporting role.
 E1059694 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: Mom | Statement: [Akshaye Khanna, notableWork, Mom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mom
Context triple: [Akshaye Khanna, notableWork, Mom]
  • A. Mom
    Mom is a popular American sitcom starring Allison Janney and Anna Faris that follows a dysfunctional mother-daughter duo in recovery from addiction.
  • B. Mom
    Mom is a recurring villain in the animated series Futurama, portrayed as the ruthless, foul-mouthed corporate matriarch who secretly controls the galaxy’s largest robot-manufacturing conglomerate.
  • C. MOM
    MOM is a post-nominal abbreviation used in Canada to denote a Member of the Order of Merit of the Police Forces, an honor recognizing exceptional service and leadership in policing.
  • D. MOM
    MOM is India’s first interplanetary spacecraft, a Mars orbiter launched by ISRO that made India the first Asian nation to reach Martian orbit.
  • E. mother!
    mother! is a 2017 psychological horror film written and directed by Darren Aronofsky, known for its allegorical narrative, intense performances, and polarizing reception.
  • 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: Mom
Triple: [Akshaye Khanna, notableWork, Mom]
Generated description
"Mom" is a 2017 Indian thriller film starring Sridevi as a vengeful mother, with Akshaye Khanna in a key supporting role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mom
Target entity description: "Mom" is a 2017 Indian thriller film starring Sridevi as a vengeful mother, with Akshaye Khanna in a key supporting role.
  • A. Mom
    Mom is a popular American sitcom starring Allison Janney and Anna Faris that follows a dysfunctional mother-daughter duo in recovery from addiction.
  • B. Mom
    Mom is a recurring villain in the animated series Futurama, portrayed as the ruthless, foul-mouthed corporate matriarch who secretly controls the galaxy’s largest robot-manufacturing conglomerate.
  • C. MOM
    MOM is a post-nominal abbreviation used in Canada to denote a Member of the Order of Merit of the Police Forces, an honor recognizing exceptional service and leadership in policing.
  • D. MOM
    MOM is India’s first interplanetary spacecraft, a Mars orbiter launched by ISRO that made India the first Asian nation to reach Martian orbit.
  • E. mother!
    mother! is a 2017 psychological horror film written and directed by Darren Aronofsky, known for its allegorical narrative, intense performances, and polarizing reception.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0235aea881909ab4c721db081b00 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86907cc8190a6a6b475d08f0dc7 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a968c3508190b1a86accb71b34cf completed May 3, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69f7aa2f696081908f48d44bf7271abc completed May 3, 2026, 8:03 p.m.
Created at: April 9, 2026, 10:10 p.m.