Triple

T6088549
Position Surface form Disambiguated ID Type / Status
Subject Kuso E135697 entity
Predicate director P255 FINISHED
Object Flying Lotus E135697 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: Flying Lotus | Statement: [Kuso, director, Flying Lotus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flying Lotus
Context triple: [Kuso, director, Flying Lotus]
  • A. Flying Lotus chosen
    Flying Lotus is an experimental electronic music producer and DJ known for his innovative fusion of hip hop, jazz, and abstract beats, and for founding the Brainfeeder label.
  • B. Daniel Lopatin
    Daniel Lopatin is an American electronic musician and producer, best known for his work as Oneohtrix Point Never and his experimental film scores.
  • C. Tim Hecker
    Tim Hecker is a Canadian electronic musician and sound artist renowned for his experimental ambient compositions and richly textured noise-based soundscapes.
  • D. Owen Pallett
    Owen Pallett is a Canadian composer, violinist, and singer-songwriter known for his intricate orchestral pop arrangements and collaborations with numerous indie rock artists.
  • E. Matthew Herbert
    Matthew Herbert is an experimental British musician and producer known for his innovative use of found sounds and unconventional recording techniques in electronic and jazz-influenced music.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057a6f7588190b265d6005fbaf6b3 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d65908c8190a9700c0981dabe9a completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:12 p.m.