Triple

T10751025
Position Surface form Disambiguated ID Type / Status
Subject Killer Joe E253570 entity
Predicate distributor P1951 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: [Killer Joe, distributor, LD Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LD Entertainment
Context triple: [Killer Joe, distributor, 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. SC Entertainment
    SC Entertainment is a film production company known for its involvement in genre cinema, including the 1985 fantasy film "Legend."
  • C. 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.
  • D. SM Entertainment
    SM Entertainment is a major South Korean entertainment company known for producing and managing many of K-pop’s most influential artists and groups.
  • E. 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.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc0ad188190b747bf9d10cf5de5 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23292f8c8190a52c94c03e7d476d completed April 14, 2026, 11:21 a.m.
Created at: April 8, 2026, 9:15 p.m.