Triple

T5693066
Position Surface form Disambiguated ID Type / Status
Subject Jackie Burkhart E125471 entity
Predicate createdBy P806 FINISHED
Object Mark Brazill E540777 NE FINISHED

How this triple was built (2 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: [Jackie Burkhart, createdBy, Mark Brazill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Brazill
Context triple: [Jackie Burkhart, createdBy, Mark Brazill]
  • A. Mark Brazill chosen
    Mark Brazill is an American television writer and producer best known for co-creating the hit sitcom That '70s Show.
  • B. 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.
  • C. 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.
  • D. 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."
  • E. Michael Parker
    Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c07dd76f008190970c3b17ec8cbfd8 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:44 p.m.