Triple

T4374379
Position Surface form Disambiguated ID Type / Status
Subject Mr. Smith Goes to Washington E98969 entity
Predicate starring P1507 FINISHED
Object Guy Kibbee E115943 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: Guy Kibbee | Statement: [Mr. Smith Goes to Washington, starring, Guy Kibbee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Kibbee
Context triple: [Mr. Smith Goes to Washington, starring, Guy Kibbee]
  • A. Guy Kibbee chosen
    Guy Kibbee was an American character actor best known for his affable, often comical supporting roles in 1930s and 1940s Hollywood films.
  • B. Kevin Durkan
    Kevin Durkan is a notable individual recognized for achievements significant enough to be associated with the surname Durkan.
  • C. George Gatins
    George Gatins is an American screenwriter and film producer best known for writing the 2014 action film adaptation of the racing video game series Need for Speed.
  • D. Phil Davis
    Phil Davis is an English actor and director known for his character roles in film and television, including prominent work in British crime dramas and literary adaptations.
  • E. John Kibler
    John Kibler was a longtime Major League Baseball umpire best known for serving as crew chief during the 1986 World Series.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35220fa648190b116e786783a7eba completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e512350081908da06038e3080a3e completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.