Triple

T8889613
Position Surface form Disambiguated ID Type / Status
Subject Oops!... I Did It Again E211630 entity
Predicate songwriter P1141 FINISHED
Object David Kreuger E764403 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: David Kreuger | Statement: [Oops!... I Did It Again, songwriter, David Kreuger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Kreuger
Context triple: [Oops!... I Did It Again, songwriter, David Kreuger]
  • A. David Kreuger chosen
    David Kreuger is a Swedish music producer and songwriter known for his work on late-1990s and early-2000s pop hits, particularly within the Cheiron Studios team.
  • B. John Kruger
    John Kruger is the tough, resourceful U.S. Marshal protagonist in the 1996 action film "Eraser," portrayed by Arnold Schwarzenegger.
  • C. Alan Durband
    Alan Durband was a British teacher, writer, and influential drama educator from Liverpool, known for his popular guides to Shakespeare and his impact on English education.
  • D. Theron Thomas
    Theron Thomas is a Grammy-winning songwriter and producer from the U.S. Virgin Islands known for crafting hit records across pop, hip-hop, and R&B for major artists.
  • E. Danny Denzongpa
    Danny Denzongpa is an Indian actor and singer known for his versatile character roles in Hindi cinema and appearances in international films.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618f94108190b03248832bfe68a9 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba1e46a48190b7a559f9d9bd348d completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:53 p.m.