Triple

T5142039
Position Surface form Disambiguated ID Type / Status
Subject John Cho E115973 entity
Predicate spouse P13 FINISHED
Object Kerri Higuchi
Kerri Higuchi is a Korean American actress and director known for her work in film and television and for being married to actor John Cho.
 E497993 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: Kerri Higuchi | Statement: [John Cho, spouse, Kerri Higuchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kerri Higuchi
Context triple: [John Cho, spouse, Kerri Higuchi]
  • A. Kelly Matsumoto
    Kelly Matsumoto is a film editor known for her work on major Hollywood productions, including the science fiction blockbuster "Star Trek Beyond."
  • B. Edie Ichioka
    Edie Ichioka is a film editor known for her work on animated and family films, including major studio features.
  • C. Erika Kennair
    Erika Kennair is a television producer and executive known for her work on science- and genre-focused series such as "The End Is Nye."
  • D. Lisa Matsuda
    Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
  • E. Faith Yokas
    Faith Yokas is a central character on the television drama "Third Watch," portrayed as a dedicated and tough New York City police officer balancing the pressures of her job with complex personal and family struggles.
  • 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: Kerri Higuchi
Triple: [John Cho, spouse, Kerri Higuchi]
Generated description
Kerri Higuchi is a Korean American actress and director known for her work in film and television and for being married to actor John Cho.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kerri Higuchi
Target entity description: Kerri Higuchi is a Korean American actress and director known for her work in film and television and for being married to actor John Cho.
  • A. Kelly Matsumoto
    Kelly Matsumoto is a film editor known for her work on major Hollywood productions, including the science fiction blockbuster "Star Trek Beyond."
  • B. Edie Ichioka
    Edie Ichioka is a film editor known for her work on animated and family films, including major studio features.
  • C. Erika Kennair
    Erika Kennair is a television producer and executive known for her work on science- and genre-focused series such as "The End Is Nye."
  • D. Lisa Matsuda
    Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
  • E. Faith Yokas
    Faith Yokas is a central character on the television drama "Third Watch," portrayed as a dedicated and tough New York City police officer balancing the pressures of her job with complex personal and family struggles.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ff1c081909a6954aa76e12cbf completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfe7370c8190a47070487b461114 completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed07c9cd081908f8246e24b2f6458 completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed1013fe88190b76855a042226359 completed March 21, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:43 p.m.