Triple

T205517
Position Surface form Disambiguated ID Type / Status
Subject University of Oslo E4601 entity
Predicate hasNotableAlumni P51 FINISHED
Object Jens Stoltenberg E20334 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: Jens Stoltenberg | Statement: [University of Oslo, hasNotableAlumni, Jens Stoltenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jens Stoltenberg
Context triple: [University of Oslo, hasNotableAlumni, Jens Stoltenberg]
  • A. Jens Stoltenberg chosen
    Jens Stoltenberg is a Norwegian politician who served as Norway’s prime minister and later became the secretary general of NATO.
  • B. Jonas Gahr Støre
    Jonas Gahr Støre is a Norwegian politician who has served as Prime Minister of Norway and is a leading figure in the country’s centre-left politics.
  • C. Håkon Wium Lie
    Håkon Wium Lie is a Norwegian web pioneer best known as the creator of Cascading Style Sheets (CSS) and a key figure in the development of open web standards.
  • D. 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.
  • E. Hallvard Lie
    Hallvard Lie was a Norwegian philologist and literary historian known for his influential research on Old Norse literature and Norwegian language history.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c04e42481909e957cb34dc02731 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c7afc48190a65c7e71260c84b4 completed Feb. 28, 2026, 6:24 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.