Triple

T14744876
Position Surface form Disambiguated ID Type / Status
Subject Tangerine Dream E346441 entity
Predicate hasMember P10 FINISHED
Object Edgar Froese E1117145 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: Edgar Froese | Statement: [Tangerine Dream, hasMember, Edgar Froese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edgar Froese
Context triple: [Tangerine Dream, hasMember, Edgar Froese]
  • A. Edgar Froese chosen
    Edgar Froese was a German musician and composer best known as the founder and driving creative force behind the pioneering electronic music group Tangerine Dream.
  • B. Klaus Schulze
    Klaus Schulze was a pioneering German electronic and ambient music composer and synthesizer innovator, known for his influential solo work and as an early member of Tangerine Dream and Ash Ra Tempel.
  • C. Holger Czukay
    Holger Czukay was a pioneering German musician and co-founder of the experimental rock band Can, known for his innovative use of sampling, tape editing, and ambient soundscapes.
  • D. Rolf Carle
    Rolf Carle is the son of renowned children's book author and illustrator Eric Carle.
  • E. Rainer Scholz
    Rainer Scholz is a German former professional footballer and coach known for his career in the Bundesliga during the late 20th century.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce843a481908f376172d4a8b70a completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.