Triple

T3387666
Position Surface form Disambiguated ID Type / Status
Subject The Jay Leno Show E71340 entity
Predicate executiveProducer P7225 FINISHED
Object Jack Coen
Jack Coen is a television producer and writer best known for his work on American late-night talk shows.
E353500 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: Jack Coen | Statement: [The Jay Leno Show, executiveProducer, Jack Coen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Coen
Context triple: [The Jay Leno Show, executiveProducer, Jack Coen]
  • A. Jim Coates
    Jim Coates is the husband of Katie Coates, known primarily in relation to her.
  • B. Josh Cooley
    Josh Cooley is an American filmmaker and screenwriter best known for his work with Pixar Animation Studios, including co-writing "Inside Out" and directing "Toy Story 4."
  • C. Jack Gariss
    Jack Gariss was an American screenwriter best known for his work on major mid-20th-century Hollywood films, including contributing to the script of Cecil B. DeMille’s epic "The Ten Commandments" (1956).
  • D. Jack Shea
    Jack Shea was an American speed skater who became a double gold medalist at the 1932 Winter Olympics and one of the early stars of U.S. winter sports.
  • E. Jack Colton
    Jack Colton is a rugged, adventurous bird smuggler-turned-hero who helps romance novelist Joan Wilder navigate the Colombian jungle in the film "Romancing the Stone."
  • 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: Jack Coen
Triple: [The Jay Leno Show, executiveProducer, Jack Coen]
Generated description
Jack Coen is a television producer and writer best known for his work on American late-night talk shows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jack Coen
Target entity description: Jack Coen is a television producer and writer best known for his work on American late-night talk shows.
  • A. Jim Coates
    Jim Coates is the husband of Katie Coates, known primarily in relation to her.
  • B. Josh Cooley
    Josh Cooley is an American filmmaker and screenwriter best known for his work with Pixar Animation Studios, including co-writing "Inside Out" and directing "Toy Story 4."
  • C. Jack Gariss
    Jack Gariss was an American screenwriter best known for his work on major mid-20th-century Hollywood films, including contributing to the script of Cecil B. DeMille’s epic "The Ten Commandments" (1956).
  • D. Jack Shea
    Jack Shea was an American speed skater who became a double gold medalist at the 1932 Winter Olympics and one of the early stars of U.S. winter sports.
  • E. Jack Colton
    Jack Colton is a rugged, adventurous bird smuggler-turned-hero who helps romance novelist Joan Wilder navigate the Colombian jungle in the film "Romancing the Stone."
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb66448fc8190a8582145f02bb1d9 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33458130881908a2b47abd91f4ea8 completed March 12, 2026, 9:47 p.m.
NEDg Description generation batch_69b3389541a081909631f7cc0586d5e2 completed March 12, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_69b338f4f9b48190bd3c8f89d3c6b9ba completed March 12, 2026, 10:06 p.m.
Created at: March 8, 2026, 3:14 p.m.