Triple

T16580556
Position Surface form Disambiguated ID Type / Status
Subject The Guilty E402815 entity
Predicate castMember P1668 FINISHED
Object Adam Kotz
Adam Kotz is a British actor known for his work in film, television, and theatre, including a role in the crime thriller "The Guilty."
 E1221531 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 Kotz | Statement: [The Guilty, castMember, Adam Kotz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adam Kotz
Context triple: [The Guilty, castMember, Adam Kotz]
  • A. Keith Bunin
    Keith Bunin is an American playwright and screenwriter known for his work on stage and in film, including co-writing the Pixar animated feature "Onward."
  • B. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • C. Craig Hatkoff
    Craig Hatkoff is an American real estate investor, philanthropist, and co-founder of the Tribeca Film Festival.
  • D. Dave Katz
    Dave Katz is an American songwriter and record producer best known as part of the production duo S*A*M & Sluggo, who have worked with numerous pop and rock artists.
  • E. Ron Walotsky
    Ron Walotsky was an American fantasy and science fiction artist known for his distinctive, surreal cover illustrations for genre novels and magazines.
  • 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 Kotz
Triple: [The Guilty, castMember, Adam Kotz]
Generated description
Adam Kotz is a British actor known for his work in film, television, and theatre, including a role in the crime thriller "The Guilty."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adam Kotz
Target entity description: Adam Kotz is a British actor known for his work in film, television, and theatre, including a role in the crime thriller "The Guilty."
  • A. Keith Bunin
    Keith Bunin is an American playwright and screenwriter known for his work on stage and in film, including co-writing the Pixar animated feature "Onward."
  • B. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • C. Craig Hatkoff
    Craig Hatkoff is an American real estate investor, philanthropist, and co-founder of the Tribeca Film Festival.
  • D. Dave Katz
    Dave Katz is an American songwriter and record producer best known as part of the production duo S*A*M & Sluggo, who have worked with numerous pop and rock artists.
  • E. Ron Walotsky
    Ron Walotsky was an American fantasy and science fiction artist known for his distinctive, surreal cover illustrations for genre novels and magazines.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35960834c819080eed0c9f32b881d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef0bc4c8190b06b03c06d344abf completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006ff5bdb88190be90d7446e24b61f completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a007088fd988190b3dfef081769d03e completed May 10, 2026, 11:48 a.m.
Created at: April 10, 2026, 5:16 a.m.