Triple

T18983271
Position Surface form Disambiguated ID Type / Status
Subject The Business E464483 entity
Predicate distributor P1951 FINISHED
Object Pathé Distribution 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: Pathé Distribution | Statement: [The Business, distributor, Pathé Distribution]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pathé Distribution
Context triple: [The Business, distributor, Pathé Distribution]
  • A. Pathé Industries
    Pathé Industries was an American film production and distribution company active in the mid-20th century, known for its involvement in independent and low-budget filmmaking.
  • B. Pathe Distribution chosen
    Pathé Distribution is a French film distribution company known for releasing a wide range of European and international movies.
  • C. 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.
  • D. Warner-Pathé Distributors
    Warner-Pathé Distributors was a British film distribution company active in the mid-20th century, known for releasing a range of feature films in the United Kingdom.
  • E. Gaumont
    Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65de6288190a53a3fdd59013d2d completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.