Triple

T7354049
Position Surface form Disambiguated ID Type / Status
Subject The Girl Who Had Everything E169577 entity
Predicate screenwriter P2831 FINISHED
Object Art Cohn
Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
 E663761 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: Art Cohn | Statement: [The Girl Who Had Everything, screenwriter, Art Cohn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Art Cohn
Context triple: [The Girl Who Had Everything, screenwriter, Art Cohn]
  • A. Harry Kurnitz
    Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
  • B. Art Weingartner
    Art Weingartner is a paranoid, nosy suburban neighbor and comic sidekick in the dark comedy film "The 'Burbs."
  • C. Art Lasky
    Art Lasky was an American heavyweight boxer of the 1930s who was known as a tough contender in the pre–World War II era.
  • D. Jack Cohn
    Jack Cohn was an American film executive and producer who co-founded Columbia Pictures and helped shape the early Hollywood studio system.
  • E. Leon Golub
    Leon Golub was an American painter known for his large-scale, politically charged figurative works that confronted themes of violence, power, and oppression.
  • 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: Art Cohn
Triple: [The Girl Who Had Everything, screenwriter, Art Cohn]
Generated description
Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Art Cohn
Target entity description: Art Cohn was an American screenwriter and author active in mid-20th-century Hollywood, known for his work on several feature films and non-fiction books.
  • A. Harry Kurnitz
    Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
  • B. Art Weingartner
    Art Weingartner is a paranoid, nosy suburban neighbor and comic sidekick in the dark comedy film "The 'Burbs."
  • C. Art Lasky
    Art Lasky was an American heavyweight boxer of the 1930s who was known as a tough contender in the pre–World War II era.
  • D. Jack Cohn
    Jack Cohn was an American film executive and producer who co-founded Columbia Pictures and helped shape the early Hollywood studio system.
  • E. Leon Golub
    Leon Golub was an American painter known for his large-scale, politically charged figurative works that confronted themes of violence, power, and oppression.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10d3ef88190b3a0763d80b1e726 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ec20db88190b68542feaa9d66ef completed March 28, 2026, 6:32 p.m.
NEDg Description generation batch_69c81fb91eb88190b6436ace69d44211 completed March 28, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69c822f547388190be0879b70542a421 completed March 28, 2026, 6:50 p.m.
Created at: March 27, 2026, 3:05 p.m.