Triple

T19283300
Position Surface form Disambiguated ID Type / Status
Subject Hjalmar Hammarskjöld E482243 entity
Predicate givenName P17 FINISHED
Object Hjalmar 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: Hjalmar | Statement: [Hjalmar Hammarskjöld, givenName, Hjalmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjalmar
Context triple: [Hjalmar Hammarskjöld, givenName, Hjalmar]
  • A. Hjalmar chosen
    Hjalmar is a masculine given name of Scandinavian origin, historically borne by several notable figures in Nordic countries.
  • B. Hjalmar Johansen
    Hjalmar Johansen was a Norwegian polar explorer best known for his participation in Fridtjof Nansen’s Fram expedition and Roald Amundsen’s South Pole expedition.
  • C. Hjalmar Andersen
    Hjalmar Andersen was a Norwegian speed skater who became one of the sport’s legends by winning three gold medals at the 1952 Winter Olympics in Oslo.
  • D. Hjalmar Mehr
    Hjalmar Mehr was a prominent Swedish Social Democratic politician who served as mayor of Stockholm and played a key role in the city’s postwar urban redevelopment.
  • E. Hjalmar Welhaven
    Hjalmar Welhaven was a Norwegian architect and cultural figure known for his contributions to 19th-century Norwegian architecture and his connections to prominent literary and artistic circles.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbffda78819088bf8dbc61756831 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.