Triple

T3673239
Position Surface form Disambiguated ID Type / Status
Subject Garfield: The Movie E77927 entity
Predicate screenwriter P2831 FINISHED
Object Joel Cohen
Joel Cohen is an American screenwriter best known for co-writing mainstream comedies such as "Garfield: The Movie" and other family-oriented films.
E397941 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: Joel Cohen | Statement: [Garfield: The Movie, screenwriter, Joel Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel Cohen
Context triple: [Garfield: The Movie, screenwriter, Joel Cohen]
  • A. Joel Cohen
    Joel Cohen is an American screenwriter best known for co-writing the screenplay of Pixar's landmark animated film "Toy Story."
  • B. Rob Cohen
    Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
  • C. Job Cohen
    Job Cohen is a Dutch politician and former Mayor of Amsterdam who led the Labour Party (PvdA) and briefly served as a prominent national opposition leader.
  • D. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • E. Bobby Cohen
    Bobby Cohen is a film producer known for his work on notable movies including the drama "Revolutionary Road."
  • 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: Joel Cohen
Triple: [Garfield: The Movie, screenwriter, Joel Cohen]
Generated description
Joel Cohen is an American screenwriter best known for co-writing mainstream comedies such as "Garfield: The Movie" and other family-oriented films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joel Cohen
Target entity description: Joel Cohen is an American screenwriter best known for co-writing mainstream comedies such as "Garfield: The Movie" and other family-oriented films.
  • A. Joel Cohen
    Joel Cohen is an American screenwriter best known for co-writing the screenplay of Pixar's landmark animated film "Toy Story."
  • B. Rob Cohen
    Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
  • C. Job Cohen
    Job Cohen is a Dutch politician and former Mayor of Amsterdam who led the Labour Party (PvdA) and briefly served as a prominent national opposition leader.
  • D. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • E. Bobby Cohen
    Bobby Cohen is a film producer known for his work on notable movies including the drama "Revolutionary Road."
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42f82548190b4d5f0fe7250decb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c688e0c8190a7e9ea3fe010c361 completed March 14, 2026, 8:29 a.m.
NEDg Description generation batch_69b5203ee2d88190b3bf401c77d05853 completed March 14, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69b520bcf1748190b252f913f2750d17 completed March 14, 2026, 8:47 a.m.
Created at: March 8, 2026, 3:25 p.m.