Triple

T1129700
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Nine-Nine E22999 entity
Predicate starredActor P5563 FINISHED
Object Joel McKinnon Miller E143855 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: Joel McKinnon Miller | Statement: [Brooklyn Nine-Nine, starredActor, Joel McKinnon Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel McKinnon Miller
Context triple: [Brooklyn Nine-Nine, starredActor, Joel McKinnon Miller]
  • A. Joel McKinnon Miller chosen
    Joel McKinnon Miller is an American character actor best known for playing the affable Detective Norm Scully on the television comedy series "Brooklyn Nine-Nine."
  • B. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • C. Marc Tarpenning
    Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
  • D. Caleb McLaughlin
    Caleb McLaughlin is an American actor best known for playing Lucas Sinclair in the Netflix science-fiction horror series "Stranger Things."
  • E. Mateo Firth
    Mateo Firth is a person known primarily as the sibling of Luca Firth.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbf979108190adad7073c8275dd2 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9971114c81909769b3ad78b95189 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:44 p.m.