Triple

T14055490
Position Surface form Disambiguated ID Type / Status
Subject Den lille Havfrue E338208 entity
Predicate creator P184 FINISHED
Object Edvard Eriksen E338206 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: Edvard Eriksen | Statement: [Den lille Havfrue, creator, Edvard Eriksen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edvard Eriksen
Context triple: [Den lille Havfrue, creator, Edvard Eriksen]
  • A. Edvard Eriksen chosen
    Edvard Eriksen was a Danish sculptor best known for creating Copenhagen’s iconic bronze statue of The Little Mermaid.
  • B. Helge Petersen
    Helge Petersen was a mountaineer known for making the first recorded ascent of Greenland’s highest peak, Gunnbjørn Fjeld.
  • C. Knut Pedersen
    Knut Pedersen, better known by his pen name Knut Hamsun, was a Norwegian novelist and Nobel Prize laureate renowned for his influential modernist works such as "Hunger" and "Growth of the Soil."
  • D. Gunnar Knudsen
    Gunnar Knudsen was a Norwegian shipowner, politician, and two-time prime minister of Norway in the early 20th century.
  • E. Jorgen Holmboe
    Jorgen Holmboe was a Norwegian-American meteorologist known for his contributions to dynamic meteorology and weather forecasting theory.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8d1aa48190a5055d15d9fa220c completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2fdd7c8190b2ebf5a18c8039f2 completed May 8, 2026, 5:52 a.m.
Created at: April 9, 2026, 10:20 p.m.