Triple

T2843958
Position Surface form Disambiguated ID Type / Status
Subject University of Hamburg E62536 entity
Predicate notableAlumni P51 FINISHED
Object Olaf Scholz E8440 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: Olaf Scholz | Statement: [University of Hamburg, notableAlumni, Olaf Scholz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olaf Scholz
Context triple: [University of Hamburg, notableAlumni, Olaf Scholz]
  • A. Olaf Scholz chosen
    Olaf Scholz is a German politician from the Social Democratic Party (SPD) who has served as Chancellor of Germany since 2021.
  • B. Frank-Walter Steinmeier
    Frank-Walter Steinmeier is a German politician and diplomat who has served as the President of Germany since 2017 and was previously the country’s foreign minister.
  • C. Thomas Kretschmann
    Thomas Kretschmann is a German actor known for his frequent roles in war and historical films, including notable performances in "The Pianist," "Downfall," and "King Kong."
  • D. Peter Kohl
    Peter Kohl is a German businessman and author best known as the son of former German Chancellor Helmut Kohl.
  • E. Angela Merkel
    Angela Merkel is a German politician who served as Chancellor of Germany from 2005 to 2021 and became one of the most influential leaders in Europe and the world.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1a07508190be35fe85733ddeed completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d570388190b4ed81ace605c6c3 completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.