Triple

T3310900
Position Surface form Disambiguated ID Type / Status
Subject Jason Bateman E69567 entity
Predicate father P120 FINISHED
Object 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.
 E375311 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: Kent Bateman | Statement: [Jason Bateman, father, Kent Bateman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kent Bateman
Context triple: [Jason Bateman, father, Kent 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. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • C. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • D. Guy Bensley
    Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
  • E. Andrew Bennison
    Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
  • 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: Kent Bateman
Triple: [Jason Bateman, father, Kent Bateman]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kent Bateman
Target entity description: 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.
  • 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. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • C. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • D. Guy Bensley
    Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
  • E. Andrew Bennison
    Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ec80508190baa78435b983b7b5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44ed5f23c8190bfd1fb6370aad390 completed March 13, 2026, 5:52 p.m.
NEDg Description generation batch_69b451c988f081909adfe88a9e027eb9 completed March 13, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69b45a7d1bcc8190b2c69a0fffa94cd5 completed March 13, 2026, 6:42 p.m.
Created at: March 8, 2026, 3:11 p.m.