Triple

T6243503
Position Surface form Disambiguated ID Type / Status
Subject Mindy Kaling E139658 entity
Predicate portrayedCharacter P1668 FINISHED
Object Kelly Kapoor E223029 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: Kelly Kapoor | Statement: [Mindy Kaling, portrayedCharacter, Kelly Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Kapoor
Context triple: [Mindy Kaling, portrayedCharacter, Kelly Kapoor]
  • A. Kelly Kapoor chosen
    Kelly Kapoor is a talkative, pop culture-obsessed customer service representative known for her dramatic personality and on-again, off-again relationship with Ryan Howard in the American version of The Office.
  • B. Ekta Kapoor
    Ekta Kapoor is a prominent Indian television and film producer known for revolutionizing Hindi soap operas and co-founding Balaji Telefilms.
  • C. Mona Kapoor
    Mona Kapoor was an Indian television and film producer best known as the first wife of Bollywood film producer Boney Kapoor and mother of actor Arjun Kapoor.
  • D. Nita Ambani
    Nita Ambani is an Indian philanthropist and businesswoman, known for her leadership roles in Reliance Industries’ ventures and for founding the Reliance Foundation.
  • E. Isha Ambani
    Isha Ambani is an Indian businesswoman and heiress who serves as a leader in Reliance Industries’ retail and digital ventures.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631b32308190a8211043d1caa6e6 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e12fa248190ad9daaf9563d38c6 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.