Triple

T20124646
Position Surface form Disambiguated ID Type / Status
Subject Ninja Tune E490715 entity
Predicate notableArtist P601 FINISHED
Object Machinedrum NE NERFINISHED

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: Machinedrum | Statement: [Ninja Tune, notableArtist, Machinedrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machinedrum
Context triple: [Ninja Tune, notableArtist, Machinedrum]
  • A. Machinedrum chosen
    Machinedrum is an American electronic music producer and DJ known for his innovative fusion of jungle, footwork, IDM, and hip-hop influences.
  • B. Firebeatz
    Firebeatz is a Dutch electronic dance music duo known for their high-energy big room and electro house tracks and frequent releases on major dance labels.
  • C. Toydrum
    Toydrum is a British electronic music duo known for their atmospheric, cinematic soundtracks and film and television score work.
  • D. European Rhythm Machine
    European Rhythm Machine was an avant-garde jazz ensemble led by American saxophonist Phil Woods that explored experimental, electric, and European-influenced jazz in the late 1960s and early 1970s.
  • E. Beatnuts
    Beatnuts is a hip hop production duo and rap group from Queens, New York, known for their sample-heavy beats and underground party anthems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667412b888190b43f7dd1ccdbad01 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.