Triple

T13791657
Position Surface form Disambiguated ID Type / Status
Subject Bring It On E331412 entity
Predicate productionCompany P490 FINISHED
Object Beacon Pictures E508528 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: Beacon Pictures | Statement: [Bring It On, productionCompany, Beacon Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beacon Pictures
Context triple: [Bring It On, productionCompany, Beacon Pictures]
  • A. Beacon Pictures chosen
    Beacon Pictures is an American film and television production company known for producing a range of high-profile action, thriller, and drama projects in Hollywood.
  • B. Gramercy Pictures
    Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
  • C. Embassy Pictures
    Embassy Pictures was an American independent film production and distribution company known for releasing influential and offbeat films from the 1950s through the 1970s.
  • D. Tri-Star Pictures
    Tri-Star Pictures is an American film production and distribution company known for releasing a wide range of Hollywood movies since the 1980s.
  • E. Palace Pictures
    Palace Pictures was a British independent film production and distribution company known for backing influential and unconventional films in the 1980s and early 1990s.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0817bd88190a46e539f2ff24d83 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.