Triple

T14293271
Position Surface form Disambiguated ID Type / Status
Subject Kalifornia E354370 entity
Predicate storyBy P1955 FINISHED
Object Stephen Levy
Stephen Levy is a writer best known in this context as the author of the story that inspired the film "Kalifornia."
E1091196 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: Stephen Levy | Statement: [Kalifornia, storyBy, Stephen Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Levy
Context triple: [Kalifornia, storyBy, Stephen Levy]
  • A. David Levien
    David Levien is an American screenwriter, novelist, and producer best known for co-writing crime and heist films as well as co-creating the television series "Billions."
  • B. Sam Levenson
    Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
  • C. Ken F. Levin
    Ken F. Levin is a television and film producer best known for his executive production work on the hit superhero series "The Boys."
  • D. Steve Levy
    Steve Levy is an American sportscaster best known for his long-running work as an ESPN anchor and play-by-play commentator, particularly in hockey and football.
  • E. Jeff Levine
    Jeff Levine is a film producer best known for his work on the horror drama "Shadow of the Vampire."
  • 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: Stephen Levy
Triple: [Kalifornia, storyBy, Stephen Levy]
Generated description
Stephen Levy is a writer best known in this context as the author of the story that inspired the film "Kalifornia."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stephen Levy
Target entity description: Stephen Levy is a writer best known in this context as the author of the story that inspired the film "Kalifornia."
  • A. David Levien
    David Levien is an American screenwriter, novelist, and producer best known for co-writing crime and heist films as well as co-creating the television series "Billions."
  • B. Sam Levenson
    Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
  • C. Ken F. Levin
    Ken F. Levin is a television and film producer best known for his executive production work on the hit superhero series "The Boys."
  • D. Steve Levy
    Steve Levy is an American sportscaster best known for his long-running work as an ESPN anchor and play-by-play commentator, particularly in hockey and football.
  • E. Jeff Levine
    Jeff Levine is a film producer best known for his work on the horror drama "Shadow of the Vampire."
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de7179368081908117a9ccfbf94fd4 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2281d481909714f8d8cfe71514 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3ded77748190b35908e046ccce67 completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e7425348190abf09c103cc17305 completed May 8, 2026, 1:37 a.m.
Created at: April 10, 2026, 1:11 a.m.