Triple

T220372
Position Surface form Disambiguated ID Type / Status
Subject Nansen passport E4199 entity
Predicate namedAfter P63 FINISHED
Object Fridtjof Nansen E6934 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: Fridtjof Nansen | Statement: [Nansen passport, namedAfter, Fridtjof Nansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fridtjof Nansen
Context triple: [Nansen passport, namedAfter, Fridtjof Nansen]
  • A. Fridtjof Nansen chosen
    Fridtjof Nansen was a Norwegian explorer, scientist, diplomat, and humanitarian renowned for his Arctic expeditions and pioneering work on behalf of refugees after World War I.
  • B. Trygve Lie
    Trygve Lie was a Norwegian politician and diplomat who became the first Secretary-General of the United Nations, serving from 1946 to 1952.
  • C. Einar Gerhardsen
    Einar Gerhardsen was a Norwegian politician often called the "father of the nation" for his central role in rebuilding Norway and shaping its social democratic welfare state after World War II.
  • D. Andriette Nobel
    Andriette Nobel was the mother of Alfred Nobel, the Swedish inventor, engineer, and founder of the Nobel Prizes.
  • E. Einar Lie
    Einar Lie is a Norwegian economic historian and professor known for his research on Norway’s economic policy, financial history, and the development of the welfare state.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c6d0fa08190810139b14f4851bc completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a376589afc8190865a988b5dc71497 completed Feb. 28, 2026, 11:12 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.