Triple

T17595763
Position Surface form Disambiguated ID Type / Status
Subject Lady Dynamite E428565 entity
Predicate hasCharacter P2308 FINISHED
Object Karen Grisham
Karen Grisham is a chaotic, eccentric Hollywood talent agent character from the surreal comedy series "Lady Dynamite."
E1278147 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: Karen Grisham | Statement: [Lady Dynamite, hasCharacter, Karen Grisham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Grisham
Context triple: [Lady Dynamite, hasCharacter, Karen Grisham]
  • A. Ty Grisham
    Ty Grisham is a child of bestselling American legal-thriller author John Grisham.
  • B. Kurt Eichenwald
    Kurt Eichenwald is an American journalist and author known for his investigative reporting and nonfiction books on corporate crime and financial scandals.
  • C. Tracy Kidder
    Tracy Kidder is a Pulitzer Prize–winning American author best known for his narrative nonfiction works such as "The Soul of a New Machine" and "Mountains Beyond Mountains."
  • D. Joel Brinkley
    Joel Brinkley was a Pulitzer Prize–winning American journalist, author, and longtime New York Times correspondent known for his reporting on international affairs and politics.
  • E. Mark R. Harris
    Mark R. Harris is an American film producer best known for his work on the Academy Award–winning drama "Crash" (2004).
  • 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: Karen Grisham
Triple: [Lady Dynamite, hasCharacter, Karen Grisham]
Generated description
Karen Grisham is a chaotic, eccentric Hollywood talent agent character from the surreal comedy series "Lady Dynamite."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karen Grisham
Target entity description: Karen Grisham is a chaotic, eccentric Hollywood talent agent character from the surreal comedy series "Lady Dynamite."
  • A. Ty Grisham
    Ty Grisham is a child of bestselling American legal-thriller author John Grisham.
  • B. Kurt Eichenwald
    Kurt Eichenwald is an American journalist and author known for his investigative reporting and nonfiction books on corporate crime and financial scandals.
  • C. Tracy Kidder
    Tracy Kidder is a Pulitzer Prize–winning American author best known for his narrative nonfiction works such as "The Soul of a New Machine" and "Mountains Beyond Mountains."
  • D. Joel Brinkley
    Joel Brinkley was a Pulitzer Prize–winning American journalist, author, and longtime New York Times correspondent known for his reporting on international affairs and politics.
  • E. Mark R. Harris
    Mark R. Harris is an American film producer best known for his work on the Academy Award–winning drama "Crash" (2004).
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e817f7248190b7166fbd28393b00 completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01f002f630819088bc0b7506ceb4d7 completed May 11, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_6a01f0ebf9e4819091d1b59964c6a275 completed May 11, 2026, 3:08 p.m.
Created at: April 10, 2026, 5:51 a.m.