Triple

T5187701
Position Surface form Disambiguated ID Type / Status
Subject Wanted (2008 film) E117072 entity
Predicate screenwriter P2831 FINISHED
Object Michael Brandt E526651 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: Michael Brandt | Statement: [Wanted (2008 film), screenwriter, Michael Brandt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Brandt
Context triple: [Wanted (2008 film), screenwriter, Michael Brandt]
  • A. Michael Brandt chosen
    Michael Brandt is an American screenwriter, director, and producer known for co-writing action films like "2 Fast 2 Furious" and for his work on television series such as "Chicago Fire."
  • B. Joe Brandt
    Joe Brandt was an American film industry executive and producer best known as one of the co-founders of Columbia Pictures.
  • C. Doug Brandt
    Doug Brandt is a film editor known for his work on major studio productions, including the adventure-comedy film "Jungle Cruise."
  • D. Marcus T. Paulk
    Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
  • E. Guy Weadick
    Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c56280819085926316f7b520bc completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc60964c08190bcb128946e121bc9 completed March 22, 2026, 10:35 a.m.
Created at: March 20, 2026, 1:46 p.m.