Triple

T2129521
Position Surface form Disambiguated ID Type / Status
Subject My Bloody Valentine 3D E46504 entity
Predicate producer P490 FINISHED
Object Mark Canton
Mark Canton is an American film producer and former studio executive known for overseeing and producing numerous Hollywood films across genres.
 E237854 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: Mark Canton | Statement: [My Bloody Valentine 3D, producer, Mark Canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Canton
Context triple: [My Bloody Valentine 3D, producer, Mark Canton]
  • A. Marc Randolph
    Marc Randolph is an American entrepreneur and co-founder of Netflix who played a key role in pioneering the subscription-based streaming and DVD-by-mail business model.
  • B. Max Cullen
    Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
  • C. Rick Hahn
    Rick Hahn is an American baseball executive best known for serving as the general manager of the Chicago White Sox in Major League Baseball.
  • D. Joe Schoen
    Joe Schoen is an American football executive best known as the general manager who helped lead the New York Giants’ recent roster rebuild and organizational turnaround.
  • E. Ben Bray
    Ben Bray is a film producer known for his work on action-packed crime movies such as "Smokin' Aces."
  • 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: Mark Canton
Triple: [My Bloody Valentine 3D, producer, Mark Canton]
Generated description
Mark Canton is an American film producer and former studio executive known for overseeing and producing numerous Hollywood films across genres.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Canton
Target entity description: Mark Canton is an American film producer and former studio executive known for overseeing and producing numerous Hollywood films across genres.
  • A. Marc Randolph
    Marc Randolph is an American entrepreneur and co-founder of Netflix who played a key role in pioneering the subscription-based streaming and DVD-by-mail business model.
  • B. Max Cullen
    Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
  • C. Rick Hahn
    Rick Hahn is an American baseball executive best known for serving as the general manager of the Chicago White Sox in Major League Baseball.
  • D. Joe Schoen
    Joe Schoen is an American football executive best known as the general manager who helped lead the New York Giants’ recent roster rebuild and organizational turnaround.
  • E. Ben Bray
    Ben Bray is a film producer known for his work on action-packed crime movies such as "Smokin' Aces."
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a36398819081df18cc18bc3456 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae528634608190bf10e3abf5a2c2d9 completed March 9, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae536431bc8190b9f293d74046cb27 completed March 9, 2026, 4:58 a.m.
Created at: March 4, 2026, 7:44 p.m.