Triple

T526199
Position Surface form Disambiguated ID Type / Status
Subject NBCUniversal E10923 entity
Predicate owns P347 FINISHED
Object Focus Features E48067 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: Focus Features | Statement: [NBCUniversal, owns, Focus Features]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Focus Features
Context triple: [NBCUniversal, owns, Focus Features]
  • A. Focus Features chosen
    Focus Features is an American film production and distribution company known for releasing critically acclaimed independent and art-house movies.
  • B. Marché du Film
    Marché du Film is the Cannes Film Festival’s major international film market, where industry professionals buy, sell, and promote films and projects.
  • C. Cinéfondation
    Cinéfondation is a Cannes Film Festival program dedicated to discovering and promoting emerging filmmakers, primarily through showcasing short and medium-length films from film schools around the world.
  • D. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • E. Five Star Feature Films
    Five Star Feature Films is a film production company best known for producing the biographical drama "Jobs" about Apple co-founder Steve Jobs.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d0d22081908aad915482d39e74 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b24157608190b4c7df2cae453a1f completed March 1, 2026, 9:40 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.