Triple

T597562
Position Surface form Disambiguated ID Type / Status
Subject The Gentlemen E11419 entity
Predicate distributor P1951 FINISHED
Object STXfilms E74385 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: STXfilms | Statement: [The Gentlemen, distributor, STXfilms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STXfilms
Context triple: [The Gentlemen, distributor, STXfilms]
  • A. STXfilms chosen
    STXfilms is an American film production and distribution company known for mid-budget, star-driven movies across genres.
  • B. 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.
  • C. Transmission Films
    Transmission Films is an Australian film distribution and production company known for releasing acclaimed independent and international films.
  • D. New Line Cinema
    New Line Cinema is a major American film production and distribution company known for franchises like The Lord of the Rings and A Nightmare on Elm Street.
  • E. Buena Vista International
    Buena Vista International is a global film distribution company historically associated with The Walt Disney Company, responsible for releasing many of its movies in international markets.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d2b98d08190a1c1e8659efdfd75 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f36ab388190a418f6d4ffe91d66 completed March 2, 2026, 5:25 a.m.
Created at: March 1, 2026, 7:35 p.m.