Triple

T14283222
Position Surface form Disambiguated ID Type / Status
Subject Bad Education E354102 entity
Predicate executiveProducer P7225 FINISHED
Object Ben Cavey
Ben Cavey is a British television producer known for his work on popular comedy series and entertainment programs.
E1090597 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: Ben Cavey | Statement: [Bad Education, executiveProducer, Ben Cavey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Cavey
Context triple: [Bad Education, executiveProducer, Ben Cavey]
  • A. John Solie
    John Solie is an American illustrator and painter best known for his prolific work creating movie poster art and commercial illustrations.
  • B. Joe Godino
    Joe Godino is the drummer for the American punk rock band The Menzingers.
  • C. Pete Velasco
    Pete Velasco was a Filipino American labor organizer and key United Farm Workers figure who helped lead the historic Delano grape strike in the 1960s.
  • D. Rico Bandello
    Rico Bandello is the ruthless, ambitious gangster protagonist of the classic 1931 crime film "Little Caesar," often cited as one of cinema’s earliest and most influential mob antiheroes.
  • E. Doneen Arquines
    Doneen Arquines is a television producer best known for serving as an executive producer on the acclaimed culinary competition series "Top Chef."
  • 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: Ben Cavey
Triple: [Bad Education, executiveProducer, Ben Cavey]
Generated description
Ben Cavey is a British television producer known for his work on popular comedy series and entertainment programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ben Cavey
Target entity description: Ben Cavey is a British television producer known for his work on popular comedy series and entertainment programs.
  • A. John Solie
    John Solie is an American illustrator and painter best known for his prolific work creating movie poster art and commercial illustrations.
  • B. Joe Godino
    Joe Godino is the drummer for the American punk rock band The Menzingers.
  • C. Pete Velasco
    Pete Velasco was a Filipino American labor organizer and key United Farm Workers figure who helped lead the historic Delano grape strike in the 1960s.
  • D. Rico Bandello
    Rico Bandello is the ruthless, ambitious gangster protagonist of the classic 1931 crime film "Little Caesar," often cited as one of cinema’s earliest and most influential mob antiheroes.
  • E. Doneen Arquines
    Doneen Arquines is a television producer best known for serving as an executive producer on the acclaimed culinary competition series "Top Chef."
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3da6f0648190876dd86dd51e72cc completed May 8, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e30868481908b55b368ab45c7fb completed May 8, 2026, 1:36 a.m.
Created at: April 10, 2026, 1:10 a.m.