Triple

T17868242
Position Surface form Disambiguated ID Type / Status
Subject The Bad Man (1941 film) E446761 entity
Predicate screenwriter P2831 FINISHED
Object Harold Buckley NE NERFINISHED

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: Harold Buckley | Statement: [The Bad Man (1941 film), screenwriter, Harold Buckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harold Buckley
Context triple: [The Bad Man (1941 film), screenwriter, Harold Buckley]
  • A. Edward A. Pace
    Edward A. Pace was an American Catholic priest, philosopher, and educator known for his pioneering work in psychology and his significant contributions to Catholic scholarship and higher education.
  • B. John Stuelpnagel
    John Stuelpnagel is a biotechnology entrepreneur and executive best known as a co-founder of the genomics company Illumina.
  • C. J. E. Nourse
    J. E. Nourse was a United States Navy officer and hydrographer who served as Superintendent of the U.S. Naval Observatory in the late 19th century.
  • D. Ralph Wheelwright chosen
    Ralph Wheelwright was an American screenwriter active during Hollywood’s classic era, known for his work on notable studio films such as "Man of a Thousand Faces."
  • E. Warren Berlinger
    Warren Berlinger was an American character actor known for his work in film, television, and stage from the 1950s onward.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.