Triple

T22223486
Position Surface form Disambiguated ID Type / Status
Subject Johnny Apollo E549272 entity
Predicate screenwriter P2831 FINISHED
Object Rowland Brown — 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: Rowland Brown | Statement: [Johnny Apollo, screenwriter, Rowland Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rowland Brown
Context triple: [Johnny Apollo, screenwriter, Rowland Brown]
  • A. Rowland Brown chosen
    Rowland Brown was an American screenwriter and director known for his hard-boiled, socially conscious crime films in early 1930s Hollywood.
  • B. John Broughton
    John Broughton was a Royal Navy officer best known for commanding the 44-gun frigate HMS Indefatigable during the late 18th century.
  • C. Godfrey Brown
    Godfrey Brown was a 19th-century political figure who served as a cabinet minister in the Kingdom of Hawaii.
  • D. Arthur William Brown
    Arthur William Brown was a prominent early 20th-century Canadian-American illustrator best known for his work in major magazines and advertising art.
  • E. Francis Henry Brown
    Francis Henry Brown was a 19th-century American physician best known for his pioneering role in establishing pediatric care in Boston, including helping to found Boston Children’s Hospital.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b92b79c8190a8a4d33591abd763 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.