Triple

T3584555
Position Surface form Disambiguated ID Type / Status
Subject Dan Laustsen E75880 entity
Predicate name P16 FINISHED
Object Dan Laustsen E75880 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: Dan Laustsen | Statement: [Dan Laustsen, name, Dan Laustsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Laustsen
Context triple: [Dan Laustsen, name, Dan Laustsen]
  • A. Dan Laustsen chosen
    Dan Laustsen is a Danish cinematographer renowned for his visually striking work on genre films and major action franchises.
  • B. Jon Jensen
    Jon Jensen is the central protagonist of the film "The Salvation," around whom the story’s dramatic events and conflicts revolve.
  • C. Lars Jensen
    Lars Jensen is an entrepreneur best known as a co-founder of the online advertising technology company DoubleClick.
  • D. Lars Heikensten
    Lars Heikensten is a Swedish economist and former Governor of Sveriges Riksbank who has also held prominent roles in European financial institutions and cultural organizations.
  • E. Erik Jendresen
    Erik Jendresen is an American writer and producer best known for his work on the acclaimed World War II miniseries "Band of Brothers."
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc10f9b508190bde4a4e4711dd452 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43303f1088190be5e4460f579efb8 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:21 p.m.