Triple

T17990508
Position Surface form Disambiguated ID Type / Status
Subject The Green Butchers E430356 entity
Predicate castMember P1668 FINISHED
Object Line Kruse
Line Kruse is a Danish actress known for her roles in films such as the dark comedy "The Green Butchers."
E1299845 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: Line Kruse | Statement: [The Green Butchers, castMember, Line Kruse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line Kruse
Context triple: [The Green Butchers, castMember, Line Kruse]
  • A. Ken Krueger
    Ken Krueger was an American publisher and bookseller best known as a pioneering figure in comics fandom and a key organizer in the early development of major comic conventions.
  • B. Jonathan Krisel
    Jonathan Krisel is an American writer, director, and producer best known for his work in offbeat television comedy, including co-creating and directing the sketch series Portlandia.
  • C. Kirk Krack
    Kirk Krack is a renowned professional freediving instructor and safety expert known for his work in underwater training and film production.
  • D. Jan Crutchfield
    Jan Crutchfield was an American country music songwriter known for penning hits such as "Statue of a Fool."
  • E. Ken Karsch
    Ken Karsch is a private investigator character in the psychological thriller film "Secret Window," hired to look into the protagonist's alleged plagiarism.
  • 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: Line Kruse
Triple: [The Green Butchers, castMember, Line Kruse]
Generated description
Line Kruse is a Danish actress known for her roles in films such as the dark comedy "The Green Butchers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line Kruse
Target entity description: Line Kruse is a Danish actress known for her roles in films such as the dark comedy "The Green Butchers."
  • A. Ken Krueger
    Ken Krueger was an American publisher and bookseller best known as a pioneering figure in comics fandom and a key organizer in the early development of major comic conventions.
  • B. Jonathan Krisel
    Jonathan Krisel is an American writer, director, and producer best known for his work in offbeat television comedy, including co-creating and directing the sketch series Portlandia.
  • C. Kirk Krack
    Kirk Krack is a renowned professional freediving instructor and safety expert known for his work in underwater training and film production.
  • D. Jan Crutchfield
    Jan Crutchfield was an American country music songwriter known for penning hits such as "Statue of a Fool."
  • E. Ken Karsch
    Ken Karsch is a private investigator character in the psychological thriller film "Secret Window," hired to look into the protagonist's alleged plagiarism.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337acabd481909deced9a61d84ed3 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a0338cd02808190b650f59fc16bab0d completed May 12, 2026, 2:27 p.m.
NED2 Entity disambiguation (via description) batch_6a033cb498248190a3805cd356832cd0 completed May 12, 2026, 2:44 p.m.
Created at: April 10, 2026, 10:23 a.m.