Triple

T18895092
Position Surface form Disambiguated ID Type / Status
Subject Sigmar E462191 entity
Predicate hasNotableBearer P458 FINISHED
Object Sigmar Gabriel 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: Sigmar Gabriel | Statement: [Sigmar, hasNotableBearer, Sigmar Gabriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sigmar Gabriel
Context triple: [Sigmar, hasNotableBearer, Sigmar Gabriel]
  • A. Sigmar Gabriel chosen
    Sigmar Gabriel is a German Social Democratic politician who has served in prominent national roles including Vice Chancellor and Federal Minister for Foreign Affairs.
  • B. Hans Kerrl
    Hans Kerrl was a Nazi German politician who served as Reich Minister for Church Affairs and played a key role in the regime’s efforts to control and coordinate Protestant churches.
  • C. Daniel Günther
    Daniel Günther is a German politician from the Christian Democratic Union (CDU) who serves as the Minister-President of the northern federal state of Schleswig-Holstein.
  • D. Christian Scholz
    Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
  • E. Peter Kohl
    Peter Kohl is a German businessman and author best known as the son of former German Chancellor Helmut Kohl.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47eb0688190882c68d0d6fa9348 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.