Triple

T21766467
Position Surface form Disambiguated ID Type / Status
Subject Cimarron (1931 film) E537305 entity
Predicate costumeDesignBy P184 FINISHED
Object Max Rée 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: Max Rée | Statement: [Cimarron (1931 film), costumeDesignBy, Max Rée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Rée
Context triple: [Cimarron (1931 film), costumeDesignBy, Max Rée]
  • A. Max Rée chosen
    Max Rée was a Danish-born art director and production designer best known for winning an Academy Award for his work on early Hollywood films.
  • B. Maxe Baumann
    Maxe Baumann is a popular East German television comedy character from the GDR era, known from the eponymous series about a grumpy but warm-hearted retiree and his family.
  • C. Paul Geheeb
    Paul Geheeb was a German educator and reformer known for pioneering progressive, child-centered education in the early 20th century.
  • D. Jules Cronjager
    Jules Cronjager was an early 20th-century cinematographer and industry figure who helped shape the professional community of American cameramen.
  • E. Frank de Grave
    Frank de Grave is a Dutch politician who served as Minister of Defence and has been active in various governmental and public sector roles in the Netherlands.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031aa9c888190887c5c1d1e3bab9f completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.