Triple

T9397018
Position Surface form Disambiguated ID Type / Status
Subject Shadow of the Vampire E226168 entity
Predicate producer P490 FINISHED
Object Jeff Levine
Jeff Levine is a film producer best known for his work on the horror drama "Shadow of the Vampire."
E796867 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: Jeff Levine | Statement: [Shadow of the Vampire, producer, Jeff Levine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Levine
Context triple: [Shadow of the Vampire, producer, Jeff Levine]
  • 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. Mike Levy
    Mike Levy is a sports executive known for serving as the general manager of the Arena Football League's Cleveland Gladiators.
  • C. Gabe Kaplan
    Gabe Kaplan is an American comedian, actor, and professional poker player best known for starring as Gabe Kotter on the 1970s sitcom "Welcome Back, Kotter."
  • D. Matt Greenberg
    Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
  • E. Steve Koren
    Steve Koren is an American comedy writer and screenwriter known for his work on films like "A Night at the Roxbury" and for writing on "Saturday Night Live."
  • 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: Jeff Levine
Triple: [Shadow of the Vampire, producer, Jeff Levine]
Generated description
Jeff Levine is a film producer best known for his work on the horror drama "Shadow of the Vampire."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff Levine
Target entity description: Jeff Levine is a film producer best known for his work on the horror drama "Shadow of the Vampire."
  • 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. Mike Levy
    Mike Levy is a sports executive known for serving as the general manager of the Arena Football League's Cleveland Gladiators.
  • C. Gabe Kaplan
    Gabe Kaplan is an American comedian, actor, and professional poker player best known for starring as Gabe Kotter on the 1970s sitcom "Welcome Back, Kotter."
  • D. Matt Greenberg
    Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
  • E. Steve Koren
    Steve Koren is an American comedy writer and screenwriter known for his work on films like "A Night at the Roxbury" and for writing on "Saturday Night Live."
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51528b2481908ca1f1840d2594b4 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1011aef64819085cbb7e04c2d87b2 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d1054d18ec8190b88dc95f785a370a completed April 4, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_69d105b7570481909f90b7588e210667 completed April 4, 2026, 12:36 p.m.
Created at: March 30, 2026, 7:46 p.m.