Triple

T16953799
Position Surface form Disambiguated ID Type / Status
Subject Tiësto E411244 entity
Predicate influencedBy P9 FINISHED
Object Sven Väth E1213372 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: Sven Väth | Statement: [Tiësto, influencedBy, Sven Väth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sven Väth
Context triple: [Tiësto, influencedBy, Sven Väth]
  • A. Sven Väth chosen
    Sven Väth is a pioneering German DJ, producer, and label owner widely regarded as one of the key figures in the development of techno and electronic dance music.
  • B. Roland Scholz
    Roland Scholz is a German chemist and academic known for his contributions to theoretical chemistry and molecular modeling.
  • C. Hansi Kürsch
    Hansi Kürsch is a German singer and songwriter best known as the lead vocalist and co-founder of the power metal band Blind Guardian.
  • D. Roland Grapow
    Roland Grapow is a German guitarist and songwriter best known for his work with the power metal band Helloween and later as the founder of the band Masterplan.
  • E. Michael Weikath
    Michael Weikath is a German guitarist and songwriter best known as a founding member of the influential power metal band Helloween.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01b04e88190a72735541b3bb117 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d464762c8190a734ffdd83633f70 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.