Triple

T5693017
Position Surface form Disambiguated ID Type / Status
Subject That '70s Show E125470 entity
Predicate creator P184 FINISHED
Object Mark Brazill
Mark Brazill is an American television writer and producer best known for co-creating the hit sitcom That '70s Show.
 E540777 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 Brazill | Statement: [That '70s Show, creator, Mark Brazill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Brazill
Context triple: [That '70s Show, creator, Mark Brazill]
  • A. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • B. Chuck Inglish
    Chuck Inglish is an American rapper and record producer best known as one half of the hip-hop duo The Cool Kids, recognized for his minimalist, retro-influenced production style.
  • C. Greg Austin
    Greg Austin is a British actor best known for his roles in television series such as "Mr Selfridge" and the "Doctor Who" spin-off "Class."
  • D. Michael Parker
    Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
  • E. Kevin Beattie
    Kevin Beattie was an English central defender renowned as one of Ipswich Town’s greatest ever players and a standout talent of 1970s English football.
  • 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 Brazill
Triple: [That '70s Show, creator, Mark Brazill]
Generated description
Mark Brazill is an American television writer and producer best known for co-creating the hit sitcom That '70s Show.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Brazill
Target entity description: Mark Brazill is an American television writer and producer best known for co-creating the hit sitcom That '70s Show.
  • A. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • B. Chuck Inglish
    Chuck Inglish is an American rapper and record producer best known as one half of the hip-hop duo The Cool Kids, recognized for his minimalist, retro-influenced production style.
  • C. Greg Austin
    Greg Austin is a British actor best known for his roles in television series such as "Mr Selfridge" and the "Doctor Who" spin-off "Class."
  • D. Michael Parker
    Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
  • E. Kevin Beattie
    Kevin Beattie was an English central defender renowned as one of Ipswich Town’s greatest ever players and a standout talent of 1970s English football.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05bb6a334819094cff84f16f5285c completed March 22, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69c05c7a03948190b38e2dfcb04fd93e completed March 22, 2026, 9:17 p.m.
Created at: March 22, 2026, 3:44 p.m.