Triple

T19456094
Position Surface form Disambiguated ID Type / Status
Subject High in the Clouds E486735 entity
Predicate filmAdaptationAnnouncedBy P38923 FINISHED
Object Gaumont 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: Gaumont | Statement: [High in the Clouds, filmAdaptationAnnouncedBy, Gaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaumont
Context triple: [High in the Clouds, filmAdaptationAnnouncedBy, Gaumont]
  • A. Gaumont chosen
    Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
  • B. Lux Compagnie Cinématographique de France
    Lux Compagnie Cinématographique de France was a French film production and distribution company active in the mid-20th century, known for handling notable French and European films.
  • C. Gaumont Pathé Archives
    Gaumont Pathé Archives is a major French film and newsreel archive preserving and providing access to historical audiovisual materials from the Gaumont and Pathé studios.
  • D. Orsay Films
    Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
  • E. Parafrance Films
    Parafrance Films is a French film production company known for backing notable French cinema projects.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c4088881908f23f25a82a513f6 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.