Triple

T9848768
Position Surface form Disambiguated ID Type / Status
Subject Kohler E239409 entity
Predicate hasNotableBearer P458 FINISHED
Object Horst Köhler E258508 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: Horst Köhler | Statement: [Kohler, hasNotableBearer, Horst Köhler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horst Köhler
Context triple: [Kohler, hasNotableBearer, Horst Köhler]
  • A. Horst Köhler chosen
    Horst Köhler is a German politician and economist who served as President of Germany from 2004 to 2010.
  • B. Winfried Schäfer
    Winfried Schäfer is a German football manager best known for his successful stints coaching national teams, including leading Cameroon to victory in the 2002 Africa Cup of Nations.
  • C. Erich Kretschmann
    Erich Kretschmann was a German physicist and mathematician known for his contributions to general relativity, particularly in the study of spacetime curvature invariants.
  • D. Gerhard Wagner
    Gerhard Wagner is a scientist known as a prominent student and collaborator of Nobel Prize–winning chemist Kurt Wüthrich, contributing to the field of biomolecular NMR spectroscopy.
  • E. Karl-Heinz Kohl
    Karl-Heinz Kohl is a German ethnologist and anthropologist known for his work on religious cultures, particularly in Indonesia and Oceania.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb371894c8190971ba497a2801521 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead49b14819086a9bbd256f298a9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:34 p.m.