Triple

T2919871
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Vice E78692 entity
Predicate castMember P1668 FINISHED
Object Rachel Keller
Rachel Keller is an American actress known for her roles in television series such as Fargo, Legion, and Tokyo Vice.
 E376204 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: Rachel Keller | Statement: [Tokyo Vice, castMember, Rachel Keller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rachel Keller
Context triple: [Tokyo Vice, castMember, Rachel Keller]
  • A. Virginia Kelley
    Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
  • B. Kate Keller
    Kate Keller is a central character in Arthur Miller's play "All My Sons," portrayed as a mother in deep denial about her missing son and the moral failures of her family.
  • C. Kathryn Alexander
    Kathryn Alexander is known as the daughter of American politician and former U.S. Senator Lamar Alexander.
  • D. Kyla Deaver
    Kyla Deaver is an American child actress best known for her role in the horror film "The Conjuring."
  • E. Kathryn Hays
    Kathryn Hays was an American actress best known for her long-running role as Kim Hughes on the soap opera "As the World Turns."
  • 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: Rachel Keller
Triple: [Tokyo Vice, castMember, Rachel Keller]
Generated description
Rachel Keller is an American actress known for her roles in television series such as Fargo, Legion, and Tokyo Vice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rachel Keller
Target entity description: Rachel Keller is an American actress known for her roles in television series such as Fargo, Legion, and Tokyo Vice.
  • A. Virginia Kelley
    Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
  • B. Kate Keller
    Kate Keller is a central character in Arthur Miller's play "All My Sons," portrayed as a mother in deep denial about her missing son and the moral failures of her family.
  • C. Kathryn Alexander
    Kathryn Alexander is known as the daughter of American politician and former U.S. Senator Lamar Alexander.
  • D. Kyla Deaver
    Kyla Deaver is an American child actress best known for her role in the horror film "The Conjuring."
  • E. Kathryn Hays
    Kathryn Hays was an American actress best known for her long-running role as Kim Hughes on the soap opera "As the World Turns."
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a53f8c8190b188d549f1161e84 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44ec8df7081908dccdb36b7d1ca53 completed March 13, 2026, 5:52 p.m.
NEDg Description generation batch_69b453c225b481908cc06090bcd0ed64 completed March 13, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b45f6aefd081909dfd1740f233dbf3 completed March 13, 2026, 7:03 p.m.
Created at: March 8, 2026, 2:54 p.m.