Triple

T8766365
Position Surface form Disambiguated ID Type / Status
Subject Phone Booth E208348 entity
Predicate producer P490 FINISHED
Object 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."
 E757291 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: Arnold Rifkin | Statement: [Phone Booth, producer, Arnold Rifkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arnold Rifkin
Context triple: [Phone Booth, producer, Arnold Rifkin]
  • A. Steven Fierberg
    Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
  • B. Arnold Schlaet
    Arnold Schlaet was an American businessman best known as a co-founder of the oil company that became Texaco.
  • C. Daniel Ullman
    Daniel Ullman was an American screenwriter known for his work on mid-20th-century genre films, particularly Westerns and thrillers.
  • D. Mark Rosenthal
    Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
  • E. Sanford Rothenberg
    Sanford Rothenberg was the second husband of actress Fay Wray, known primarily for his marriage to the iconic King Kong star.
  • 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: Arnold Rifkin
Triple: [Phone Booth, producer, Arnold Rifkin]
Generated description
Arnold Rifkin is a film producer best known for his work on action and thriller movies, including the 2002 suspense film "Phone Booth."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arnold Rifkin
Target entity description: Arnold Rifkin is a film producer best known for his work on action and thriller movies, including the 2002 suspense film "Phone Booth."
  • A. Steven Fierberg
    Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
  • B. Arnold Schlaet
    Arnold Schlaet was an American businessman best known as a co-founder of the oil company that became Texaco.
  • C. Daniel Ullman
    Daniel Ullman was an American screenwriter known for his work on mid-20th-century genre films, particularly Westerns and thrillers.
  • D. Mark Rosenthal
    Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
  • E. Sanford Rothenberg
    Sanford Rothenberg was the second husband of actress Fay Wray, known primarily for his marriage to the iconic King Kong star.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee97fd0819087ef8fe14b37ae43 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf519f029081908ad0ae79f35b3e9d completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf560021148190b60f3f32b0a952b4 completed April 3, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf5654aa4c8190a368a0caca8ed45b completed April 3, 2026, 5:55 a.m.
Created at: March 30, 2026, 6:41 p.m.