Triple

T16848172
Position Surface form Disambiguated ID Type / Status
Subject Chicago Med E409598 entity
Predicate executiveProducer P7225 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: [Chicago Med, executiveProducer, Michael Brandt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Brandt
Context triple: [Chicago Med, executiveProducer, 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. Michael Brandman
    Michael Brandman is an American film and television producer and writer known for adapting and producing literary and theatrical works.
  • E. Carl Broemel
    Carl Broemel is an American guitarist, singer-songwriter, and multi-instrumentalist best known as a longtime member of the rock band My Morning Jacket.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170dd38708190b17cee0ab6cee6eb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:24 a.m.