Triple

T11488486
Position Surface form Disambiguated ID Type / Status
Subject Mr. Mercedes (TV series) E272342 entity
Predicate executiveProducer P7225 FINISHED
Object Jack Bender E928828 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: Jack Bender | Statement: [Mr. Mercedes (TV series), executiveProducer, Jack Bender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Bender
Context triple: [Mr. Mercedes (TV series), executiveProducer, Jack Bender]
  • A. Jack Bender chosen
    Jack Bender is an American television director, producer, and former actor best known for his work on acclaimed series such as Lost, Game of Thrones, and Mr. Mercedes.
  • B. Chris Bender
    Chris Bender is a film producer known for his work on major Hollywood movies, including the thriller "Red Eye."
  • C. Jack Briggs
    Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
  • D. Michael Bender
    Michael Bender is a film producer best known for his work on the 1988 dark comedy fantasy film "Beetlejuice."
  • E. Jonathan Poneman
    Jonathan Poneman is an American music executive best known as the co-founder of the influential independent record label Sub Pop, which helped launch the grunge movement and bands like Nirvana and Soundgarden.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a20df608190992543b4d7006f8a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624b12c04819085cc5f7dd64283ca completed April 20, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:36 p.m.