Triple

T3952351
Position Surface form Disambiguated ID Type / Status
Subject Love Is Blind E84892 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: [Love Is Blind, recordLabel, MBK Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBK Entertainment
Context triple: [Love Is Blind, 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. LD Entertainment
    LD Entertainment is an American film production company known for producing independent and mid-budget feature films across a range of genres.
  • C. 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.
  • D. BMG Korea
    BMG Korea was the South Korean branch of the global music company Bertelsmann Music Group, responsible for producing and distributing music in the Korean market.
  • E. ENDEAVOR
    ENDEAVOR is the radio callsign used by Endeavor Air, a regional airline operating flights on behalf of major U.S. carriers.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef939d1308190930dc2c8272eafa4 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533a80d4c8190bb1aac1b2900d9a8 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.