Triple

T20013976
Position Surface form Disambiguated ID Type / Status
Subject Milord E494661 entity
Predicate hasNotableCoverVersionBy P11142 FINISHED
Object Lale Andersen 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: Lale Andersen | Statement: [Milord, hasNotableCoverVersionBy, Lale Andersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lale Andersen
Context triple: [Milord, hasNotableCoverVersionBy, Lale Andersen]
  • A. Lale Andersen chosen
    Lale Andersen was a German singer and actress best known for popularizing the iconic World War II song "Lili Marleen."
  • B. Ole Hansen
    Ole Hansen is a Norwegian politician who served as Minister of Defence and was a prominent figure in early 20th-century Norwegian public life.
  • C. Hans Jacobsen
    Hans Jacobsen is a person notable enough to be recognized as a significant bearer of the surname Jacobsen.
  • D. Arne Andersen
    Arne Andersen is a person notable enough to be recognized as a significant bearer of the surname Andersen.
  • E. Emil Hansen
    Emil Hansen, better known as Emil Nolde, was a pioneering German-Danish Expressionist painter famed for his vivid color, emotional intensity, and influential religious and floral works.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623a9bd48190a3344a07540170c7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.