Triple

T13486704
Position Surface form Disambiguated ID Type / Status
Subject Dirty John E318521 entity
Predicate executiveProducer P7225 FINISHED
Object Gina Kwon
Gina Kwon is a film and television producer known for her work on projects such as the true-crime series "Dirty John."
E1043586 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: Gina Kwon | Statement: [Dirty John, executiveProducer, Gina Kwon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gina Kwon
Context triple: [Dirty John, executiveProducer, Gina Kwon]
  • A. Laura Sohn
    Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
  • B. Miri Yoon
    Miri Yoon is a film producer known for her work on the psychological thriller "Don't Worry Darling."
  • C. Willa Kim
    Willa Kim was an acclaimed American costume designer known for her vibrant, innovative work on Broadway, ballet, and opera, earning multiple Tony Awards over her career.
  • D. Priscilla Ahn
    Priscilla Ahn is an American singer-songwriter known for her delicate vocals and folk-influenced acoustic music, including the song "Dream."
  • E. Cheryl Song
    Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
  • 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: Gina Kwon
Triple: [Dirty John, executiveProducer, Gina Kwon]
Generated description
Gina Kwon is a film and television producer known for her work on projects such as the true-crime series "Dirty John."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gina Kwon
Target entity description: Gina Kwon is a film and television producer known for her work on projects such as the true-crime series "Dirty John."
  • A. Laura Sohn
    Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
  • B. Miri Yoon
    Miri Yoon is a film producer known for her work on the psychological thriller "Don't Worry Darling."
  • C. Willa Kim
    Willa Kim was an acclaimed American costume designer known for her vibrant, innovative work on Broadway, ballet, and opera, earning multiple Tony Awards over her career.
  • D. Priscilla Ahn
    Priscilla Ahn is an American singer-songwriter known for her delicate vocals and folk-influenced acoustic music, including the song "Dream."
  • E. Cheryl Song
    Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74cb6cae881909563983a38311db7 completed May 3, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69f74d5389f08190826f0e550c8bb6c2 completed May 3, 2026, 1:27 p.m.
Created at: April 9, 2026, 9:42 p.m.