Triple

T23002811
Position Surface form Disambiguated ID Type / Status
Subject Ich tu dir weh E572676 entity
Predicate composer P1361 FINISHED
Object Till Lindemann 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: Till Lindemann | Statement: [Ich tu dir weh, composer, Till Lindemann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Till Lindemann
Context triple: [Ich tu dir weh, composer, Till Lindemann]
  • A. Till Lindemann chosen
    Till Lindemann is a German singer, songwriter, and poet best known as the powerful, theatrical lead vocalist of the industrial metal band Rammstein.
  • B. 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.
  • C. Blake Schwarzenbach
    Blake Schwarzenbach is an American musician best known as the vocalist and guitarist for the influential punk band Jawbreaker and later projects like Jets to Brazil.
  • D. Tobias Sammet
    Tobias Sammet is a German musician and songwriter best known as the frontman of the power metal band Edguy and the mastermind behind the metal opera project Avantasia.
  • E. Roland Scholz
    Roland Scholz is a German chemist and academic known for his contributions to theoretical chemistry and molecular modeling.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183549bdc81908fdcd44e2c92f7c4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.