Triple

T7034140
Position Surface form Disambiguated ID Type / Status
Subject Risen E163337 entity
Predicate productionCompany P490 FINISHED
Object LD Entertainment E322063 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: LD Entertainment | Statement: [Risen, productionCompany, LD Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LD Entertainment
Context triple: [Risen, productionCompany, LD Entertainment]
  • A. LD Entertainment chosen
    LD Entertainment is an American film production company known for producing independent and mid-budget feature films across a range of genres.
  • B. MBK Entertainment
    MBK Entertainment is a South Korean entertainment company and record label known for managing K-pop artists and producing music and media content.
  • C. Pledis Entertainment
    Pledis Entertainment is a South Korean entertainment company and talent agency known for managing popular K-pop groups such as Seventeen and NU'EST.
  • D. SMUGGLER Entertainment
    SMUGGLER Entertainment is a production company known for creating high-profile commercials, music videos, and film content in collaboration with major brands and artists.
  • E. CJ Entertainment
    CJ Entertainment is a major South Korean film production and distribution company known for backing internationally acclaimed movies such as "Parasite."
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2118fc88190a0751ca18eafb4a5 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7759c8e408190a7d457e77a44ee26 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:36 p.m.