Triple

T6449000
Position Surface form Disambiguated ID Type / Status
Subject Pickup on South Street E139815 entity
Predicate producer P490 FINISHED
Object Jules Schermer E325839 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: Jules Schermer | Statement: [Pickup on South Street, producer, Jules Schermer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jules Schermer
Context triple: [Pickup on South Street, producer, Jules Schermer]
  • A. Jules Schermer chosen
    Jules Schermer was a film producer active in mid-20th-century American cinema.
  • B. Pierre Frank
    Pierre Frank was a French Trotskyist revolutionary and theorist who became a leading figure in the international Trotskyist movement.
  • C. Paul Seydor
    Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
  • D. René Blum
    René Blum was a French theatrical producer and impresario best known for co-founding and directing the Ballets Russes de Monte-Carlo in the early 20th century.
  • E. Armand Deutsch
    Armand Deutsch was an American film producer active during Hollywood's mid-20th century studio era.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b1a61c81908610264c098d25b0 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bcfc7388190877ad702ea44802d completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:47 p.m.