Triple

T15717709
Position Surface form Disambiguated ID Type / Status
Subject Hard Place E381002 entity
Predicate recordLabel P1500 FINISHED
Object MBK Entertainment E82664 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: MBK Entertainment | Statement: [Hard Place, recordLabel, MBK Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBK Entertainment
Context triple: [Hard Place, recordLabel, MBK Entertainment]
  • A. MBK Entertainment chosen
    MBK Entertainment is a South Korean entertainment company and record label known for managing K-pop artists and producing music and media content.
  • B. 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.
  • C. SC Entertainment
    SC Entertainment is a film production company known for its involvement in genre cinema, including the 1985 fantasy film "Legend."
  • D. JYP Entertainment
    JYP Entertainment is a major South Korean entertainment company and record label known for producing and managing popular K-pop artists and groups.
  • E. H2F Entertainment
    H2F Entertainment is a film production company best known for its involvement in the hit comedy sequel "Meet the Fockers."
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f932a248190b65ecfb2bc56e715 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff997fe6f48190813bde2bfc11c253 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:45 a.m.