Triple

T12891686
Position Surface form Disambiguated ID Type / Status
Subject Peter Jensen E308381 entity
Predicate hasNameInLanguage P15 FINISHED
Object Peter Jensen (Danish) E308381 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: Peter Jensen (Danish) | Statement: [Peter Jensen, hasNameInLanguage, Peter Jensen (Danish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Jensen (Danish)
Context triple: [Peter Jensen, hasNameInLanguage, Peter Jensen (Danish)]
  • A. Peter Aalbæk Jensen
    Peter Aalbæk Jensen is a Danish film producer and co-founder of the influential production company Zentropa, known for his collaborations with prominent directors such as Lars von Trier.
  • B. Peter Jensen chosen
    Peter Jensen is a fictional character appearing in the Danish Western thriller film "The Salvation."
  • C. Stig Petersen
    Stig Petersen is a researcher and scientist known for co-authoring a 2021 Nature paper led by Jumper and colleagues, likely in the field of computational biology or protein structure prediction.
  • D. Niels Jensen
    Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
  • E. Søren Hansen
    Søren Hansen is a Danish professional golfer known for competing on the European Tour and representing Denmark in international team events.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97146d2208190be5ae26e51193b67 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55be3288190b2bc0bd197431db3 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.