Triple

T11447113
Position Surface form Disambiguated ID Type / Status
Subject Lenny Cooke E271293 entity
Predicate producer P490 FINISHED
Object Adam Shopkorn
Adam Shopkorn is a film producer best known for his work on the basketball documentary "Lenny Cooke."
E926425 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: Adam Shopkorn | Statement: [Lenny Cooke, producer, Adam Shopkorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Shopkorn
Context triple: [Lenny Cooke, producer, Adam Shopkorn]
  • A. Alan Gasmer
    Alan Gasmer is a film and television producer known for his work on projects such as the 2018 adaptation of "Fahrenheit 451."
  • B. Alvin Ganzer
    Alvin Ganzer was an American film and television director best known for his work on mid-20th-century genre and anthology series.
  • C. Richard Dybeck
    Richard Dybeck was a 19th-century Swedish jurist, antiquarian, and poet best known for writing the lyrics to Sweden’s de facto national anthem, "Du gamla, Du fria."
  • D. Charlie Schlatter
    Charlie Schlatter is an American actor and voice actor known for his energetic performances in television, film, and animation, including prominent roles in series like "Diagnosis: Murder" and various animated shows.
  • E. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • 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: Adam Shopkorn
Triple: [Lenny Cooke, producer, Adam Shopkorn]
Generated description
Adam Shopkorn is a film producer best known for his work on the basketball documentary "Lenny Cooke."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adam Shopkorn
Target entity description: Adam Shopkorn is a film producer best known for his work on the basketball documentary "Lenny Cooke."
  • A. Alan Gasmer
    Alan Gasmer is a film and television producer known for his work on projects such as the 2018 adaptation of "Fahrenheit 451."
  • B. Alvin Ganzer
    Alvin Ganzer was an American film and television director best known for his work on mid-20th-century genre and anthology series.
  • C. Richard Dybeck
    Richard Dybeck was a 19th-century Swedish jurist, antiquarian, and poet best known for writing the lyrics to Sweden’s de facto national anthem, "Du gamla, Du fria."
  • D. Charlie Schlatter
    Charlie Schlatter is an American actor and voice actor known for his energetic performances in television, film, and animation, including prominent roles in series like "Diagnosis: Murder" and various animated shows.
  • E. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3bdafb08190aadf5d63facfedaf completed April 20, 2026, 7:20 a.m.
NEDg Description generation batch_69e5d7e46e248190aba139dc32185e2f completed April 20, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_69e5e192297c8190992578f734e63427 completed April 20, 2026, 8:19 a.m.
Created at: April 8, 2026, 9:35 p.m.