Triple

T22051562
Position Surface form Disambiguated ID Type / Status
Subject Poul Nyrup Rasmussen E544896 entity
Predicate givenName P17 FINISHED
Object Poul 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: Poul | Statement: [Poul Nyrup Rasmussen, givenName, Poul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poul
Context triple: [Poul Nyrup Rasmussen, givenName, Poul]
  • A. Poul chosen
    Poul is a masculine given name, primarily used in Danish and other Scandinavian contexts, cognate with the name Paul.
  • B. Mogens
    Mogens is a Danish masculine given name commonly used in Denmark and other Scandinavian countries.
  • C. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • D. Søren
    Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
  • E. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1283386f081908b70df81f38a5b1c completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.