Triple

T5142485
Position Surface form Disambiguated ID Type / Status
Subject Fright Night (1985 film) E115990 entity
Predicate editedBy P1954 FINISHED
Object Kent Beyda E369466 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: Kent Beyda | Statement: [Fright Night (1985 film), editedBy, Kent Beyda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent Beyda
Context triple: [Fright Night (1985 film), editedBy, Kent Beyda]
  • A. Kent Beyda chosen
    Kent Beyda is a film editor best known for his work on major studio comedies and family films, including the 2002 live-action Scooby-Doo movie.
  • B. Eric Wetzels
    Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
  • C. Anthony Meyer
    Anthony Meyer is a British politician and former Conservative Member of Parliament best known for mounting a symbolic leadership challenge against Prime Minister Margaret Thatcher in 1989.
  • D. Kevin Burkhardt
    Kevin Burkhardt is an American sportscaster best known as a play-by-play announcer and studio host for major MLB and NFL broadcasts on Fox.
  • E. David Kajganich
    David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ff1c081909a6954aa76e12cbf completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc834be9081909cd2a11e76ebd3c8 completed March 22, 2026, 10:45 a.m.
Created at: March 20, 2026, 1:43 p.m.