Triple

T22269583
Position Surface form Disambiguated ID Type / Status
Subject Karl Bartos E550438 entity
Predicate memberOf P10 FINISHED
Object Kraftwerk 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: Kraftwerk | Statement: [Karl Bartos, memberOf, Kraftwerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kraftwerk
Context triple: [Karl Bartos, memberOf, Kraftwerk]
  • A. Kraftwerk chosen
    Kraftwerk is a pioneering German electronic music band widely regarded as one of the most influential groups in the development of electronic, synth-pop, and modern popular music.
  • B. Tangerine Dream
    Tangerine Dream is a pioneering German electronic music group known for their influential ambient and synthesizer-based soundtracks and albums since the late 1960s.
  • C. YMO
    YMO is the IATA airport code for Moosonee Airport, which serves the remote community of Moosonee in northern Ontario, Canada.
  • D. Front 242
    Front 242 is a pioneering Belgian electronic body music (EBM) group known for its aggressive industrial sound and influential role in shaping the genre in the 1980s.
  • E. Heaven 17
    Heaven 17 is a British synth-pop band formed in the early 1980s, known for their politically charged lyrics and influential electronic sound on albums like "Penthouse and Pavement."
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bf53a481909e2c79de4144f332 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:40 p.m.