Triple

T12389200
Position Surface form Disambiguated ID Type / Status
Subject MouseHunt (1997 film) E295947 entity
Predicate screenwriter P2831 FINISHED
Object Adam Rifkin
Adam Rifkin is an American filmmaker and screenwriter known for his work on both mainstream comedies and cult-favorite independent films.
E980338 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: Adam Rifkin | Statement: [MouseHunt (1997 film), screenwriter, Adam Rifkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Rifkin
Context triple: [MouseHunt (1997 film), screenwriter, Adam Rifkin]
  • A. Jay Rifkin
    Jay Rifkin is an American music producer and entrepreneur best known for his collaborations with Hans Zimmer and his work on Disney projects such as The Lion King.
  • B. Alan Rifkin
    Alan Rifkin is a writer and essayist known for his reflective, Southern California–centered nonfiction and fiction.
  • C. Ron Rifkin
    Ron Rifkin is an American actor known for his character roles in film, television, and theater, including prominent parts in series like "Alias" and numerous stage productions.
  • D. Saul M. Rifkin
    Saul M. Rifkin is the birth name of American actor Ron Rifkin, known for his work in film, television, and theater.
  • E. Arnold Rifkin
    Arnold Rifkin is a film producer best known for his work on action and thriller movies, including the 2002 suspense film "Phone Booth."
  • 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: Adam Rifkin
Triple: [MouseHunt (1997 film), screenwriter, Adam Rifkin]
Generated description
Adam Rifkin is an American filmmaker and screenwriter known for his work on both mainstream comedies and cult-favorite independent films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adam Rifkin
Target entity description: Adam Rifkin is an American filmmaker and screenwriter known for his work on both mainstream comedies and cult-favorite independent films.
  • A. Jay Rifkin
    Jay Rifkin is an American music producer and entrepreneur best known for his collaborations with Hans Zimmer and his work on Disney projects such as The Lion King.
  • B. Alan Rifkin
    Alan Rifkin is a writer and essayist known for his reflective, Southern California–centered nonfiction and fiction.
  • C. Ron Rifkin
    Ron Rifkin is an American actor known for his character roles in film, television, and theater, including prominent parts in series like "Alias" and numerous stage productions.
  • D. Saul M. Rifkin
    Saul M. Rifkin is the birth name of American actor Ron Rifkin, known for his work in film, television, and theater.
  • E. Arnold Rifkin
    Arnold Rifkin is a film producer best known for his work on action and thriller movies, including the 2002 suspense film "Phone Booth."
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fcf6aa8819080c9a2407a72db2e completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347816408190904ea71d2a72398f completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356c21908190b34d1324da8f8052 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63693f5c881909a9683a0c6a68739 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:54 p.m.