Triple

T11049996
Position Surface form Disambiguated ID Type / Status
Subject The Goonies E261219 entity
Predicate leadActor P1507 FINISHED
Object Jeff Cohen
Jeff Cohen is an American former child actor best known for playing the lovable, clumsy character Chunk in the 1985 adventure film "The Goonies."
E901328 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: Jeff Cohen | Statement: [The Goonies, leadActor, Jeff Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Cohen
Context triple: [The Goonies, leadActor, Jeff Cohen]
  • A. Jeffrey Cohen
    Jeffrey Cohen is a songwriter best known for co-writing the theme song to the James Bond film "Licence to Kill."
  • B. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • C. Bruce Cohen
    Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
  • D. Brad Cohen
    Brad Cohen is an American physician and politician who serves as the mayor of East Brunswick, New Jersey.
  • E. Jon Cohen
    Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
  • 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: Jeff Cohen
Triple: [The Goonies, leadActor, Jeff Cohen]
Generated description
Jeff Cohen is an American former child actor best known for playing the lovable, clumsy character Chunk in the 1985 adventure film "The Goonies."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff Cohen
Target entity description: Jeff Cohen is an American former child actor best known for playing the lovable, clumsy character Chunk in the 1985 adventure film "The Goonies."
  • A. Jeffrey Cohen
    Jeffrey Cohen is a songwriter best known for co-writing the theme song to the James Bond film "Licence to Kill."
  • B. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • C. Bruce Cohen
    Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
  • D. Brad Cohen
    Brad Cohen is an American physician and politician who serves as the mayor of East Brunswick, New Jersey.
  • E. Jon Cohen
    Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa146b148190a87205e542cc718f completed April 18, 2026, 3:58 p.m.
NEDg Description generation batch_69e3ad0379888190b2f56d36d79bf97d completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b206c7a4819087eb06faa6e1af21 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.