Triple

T10917689
Position Surface form Disambiguated ID Type / Status
Subject Sweet Sixteen E257866 entity
Predicate distributor P1951 FINISHED
Object Icon Film Distribution E322416 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: Icon Film Distribution | Statement: [Sweet Sixteen, distributor, Icon Film Distribution]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Icon Film Distribution
Context triple: [Sweet Sixteen, distributor, Icon Film Distribution]
  • A. Icon Film Distribution chosen
    Icon Film Distribution is a UK-based film distribution company known for releasing a range of independent, arthouse, and international films.
  • 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. 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."
  • D. Transmission Films
    Transmission Films is an Australian film distribution and production company known for releasing acclaimed independent and international films.
  • E. Impact Pictures
    Impact Pictures is a film production company best known for producing action and science-fiction movies, including entries in the Resident Evil franchise.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707ebdcc8190b42cafe21c667c82 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2170bb97c81908e8d209ddb630601 completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.