Triple

T5408700
Position Surface form Disambiguated ID Type / Status
Subject Bright Young Things E120956 entity
Predicate distributor P1951 FINISHED
Object THINKFilm E340329 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: THINKFilm | Statement: [Bright Young Things, distributor, THINKFilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: THINKFilm
Context triple: [Bright Young Things, distributor, THINKFilm]
  • A. THINKFilm chosen
    THINKFilm was an independent film distribution company known for releasing acclaimed documentaries and art-house films in the early 2000s.
  • 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. Lightstorm Entertainment
    Lightstorm Entertainment is a film production company founded by director James Cameron, known for producing major blockbuster movies such as Titanic and Avatar.
  • D. Echo Films
    Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
  • E. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8794e0c4819082bebf2da5e41201 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf33990f248190841493f0720aa8ee completed March 22, 2026, 12:11 a.m.
Created at: March 20, 2026, 2:05 p.m.