Triple

T11366542
Position Surface form Disambiguated ID Type / Status
Subject The Matchmaker’s Playbook E269220 entity
Predicate castMember P1668 FINISHED
Object Nick Bateman
Nick Bateman is a Canadian actor and model known for his roles in romantic films and his large social media following.
 E935189 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: Nick Bateman | Statement: [The Matchmaker’s Playbook, castMember, Nick Bateman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nick Bateman
Context triple: [The Matchmaker’s Playbook, castMember, Nick Bateman]
  • A. Tom Bateman
    Tom Bateman is a British actor known for his work in film, television, and theatre, including prominent roles in period dramas and crime mysteries.
  • B. Michael John Bateman
    Michael John Bateman is a film editor known for his work on the Western drama "Open Range."
  • C. Kent Bateman
    Kent Bateman is an American film and television producer, director, and actor, best known as the father of actor Jason Bateman and for his work in low-budget and independent productions.
  • D. Nick Barton
    Nick Barton is a prominent evolutionary biologist known for his influential work on the genetics of adaptation and speciation.
  • E. Russ Bates
    Russ Bates is a scientific researcher known for co-authoring a 2021 study published in the journal Nature.
  • 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: Nick Bateman
Triple: [The Matchmaker’s Playbook, castMember, Nick Bateman]
Generated description
Nick Bateman is a Canadian actor and model known for his roles in romantic films and his large social media following.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nick Bateman
Target entity description: Nick Bateman is a Canadian actor and model known for his roles in romantic films and his large social media following.
  • A. Tom Bateman
    Tom Bateman is a British actor known for his work in film, television, and theatre, including prominent roles in period dramas and crime mysteries.
  • B. Michael John Bateman
    Michael John Bateman is a film editor known for his work on the Western drama "Open Range."
  • C. Kent Bateman
    Kent Bateman is an American film and television producer, director, and actor, best known as the father of actor Jason Bateman and for his work in low-budget and independent productions.
  • D. Nick Barton
    Nick Barton is a prominent evolutionary biologist known for his influential work on the genetics of adaptation and speciation.
  • E. Russ Bates
    Russ Bates is a scientific researcher known for co-authoring a 2021 study published in the journal Nature.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea88558c8190aa18881af51a7b96 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e713122ef8819086c8d7e37c00a1c2 completed April 21, 2026, 6:02 a.m.
NEDg Description generation batch_69e720f4015c81909ba7973c3e781985 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e75a7a04c88190bb8f3dd3f3e435ef completed April 21, 2026, 11:07 a.m.
Created at: April 8, 2026, 9:33 p.m.