Triple

T13993374
Position Surface form Disambiguated ID Type / Status
Subject Escape E336635 entity
Predicate producer P490 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: [Escape, producer, David Kreuger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Kreuger
Context triple: [Escape, producer, 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. Douglas Eugene Franco
    Douglas Eugene Franco is the father of American actor Dave Franco and was part of the Franco family known for its multiple members in the entertainment industry.
  • E. Johan Theron
    Johan Theron is a South African former professional tennis player who competed primarily on the ITF Futures and ATP Challenger circuits.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9a7e8c8190a0fd0cd67ff50741 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.