Triple

T1062809
Position Surface form Disambiguated ID Type / Status
Subject Charlie Bartlett E22944 entity
Predicate producer P490 FINISHED
Object David Permut
David Permut is an American film producer known for working on a wide range of Hollywood movies, including both studio comedies and independent dramas.
 E166456 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: David Permut | Statement: [Charlie Bartlett, producer, David Permut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Permut
Context triple: [Charlie Bartlett, producer, David Permut]
  • A. Brandon Perlman
    Brandon Perlman is the son of American actor Ron Perlman and works as a music producer and DJ.
  • B. David Simas
    David Simas is an American political strategist and former Obama White House official who serves as a top executive leader at the Obama Foundation.
  • C. Jonathan Peck
    Jonathan Peck was one of the sons of acclaimed American actor Gregory Peck.
  • D. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • E. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • 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: David Permut
Triple: [Charlie Bartlett, producer, David Permut]
Generated description
David Permut is an American film producer known for working on a wide range of Hollywood movies, including both studio comedies and independent dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Permut
Target entity description: David Permut is an American film producer known for working on a wide range of Hollywood movies, including both studio comedies and independent dramas.
  • A. Brandon Perlman
    Brandon Perlman is the son of American actor Ron Perlman and works as a music producer and DJ.
  • B. David Simas
    David Simas is an American political strategist and former Obama White House official who serves as a top executive leader at the Obama Foundation.
  • C. Jonathan Peck
    Jonathan Peck was one of the sons of acclaimed American actor Gregory Peck.
  • D. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • E. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f68a54819084326d87c3498252 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e5bc6348190a0d23fe269707e1b completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0eff5f7c81908e9bfdeb1819aa2a completed March 8, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69ad0f5c864c8190874a413ac67ba43a completed March 8, 2026, 5:55 a.m.
Created at: March 1, 2026, 7:42 p.m.