Triple

T13709277
Position Surface form Disambiguated ID Type / Status
Subject Death Watch E328726 entity
Predicate distributor P1951 FINISHED
Object Gaumont E486732 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: Gaumont | Statement: [Death Watch, distributor, Gaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaumont
Context triple: [Death Watch, distributor, 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. Orsay Films
    Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
  • D. Pathé
    Pathé is a historic French film production and distribution company that also operated as a major record label in the early and mid-20th century.
  • E. Gaumont International Television
    Gaumont International Television is a U.S.-based television production and distribution arm of the historic French studio Gaumont, known for creating high-profile international series.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d52b3708190ae0945e65b271556 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.