Triple

T1105737
Position Surface form Disambiguated ID Type / Status
Subject Silver Linings Playbook E25483 entity
Predicate producer P490 FINISHED
Object Jonathan Gordon
Jonathan Gordon is a film producer best known for his work on acclaimed movies such as "Silver Linings Playbook."
 E141140 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: Jonathan Gordon | Statement: [Silver Linings Playbook, producer, Jonathan Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jonathan Gordon
Context triple: [Silver Linings Playbook, producer, Jonathan Gordon]
  • A. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • B. David Winkler
    David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
  • C. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • 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. Robert Newman
    Robert Newman was an American engineer and entrepreneur best known as a co-founder of the influential technology and research firm Bolt Beranek and Newman (BBN).
  • 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: Jonathan Gordon
Triple: [Silver Linings Playbook, producer, Jonathan Gordon]
Generated description
Jonathan Gordon is a film producer best known for his work on acclaimed movies such as "Silver Linings Playbook."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jonathan Gordon
Target entity description: Jonathan Gordon is a film producer best known for his work on acclaimed movies such as "Silver Linings Playbook."
  • A. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • B. David Winkler
    David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
  • C. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • 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. Robert Newman
    Robert Newman was an American engineer and entrepreneur best known as a co-founder of the influential technology and research firm Bolt Beranek and Newman (BBN).
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a010c10819081994835ae7a809a completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8a8a9b208190aed3bcc4697415d1 completed March 7, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69ac8b17ae048190b32e89d2f2a60ba3 completed March 7, 2026, 8:31 p.m.
Created at: March 1, 2026, 7:43 p.m.