Triple

T926560
Position Surface form Disambiguated ID Type / Status
Subject Angela Merkel E19995 entity
Predicate spouse P13 FINISHED
Object Ulrich Merkel E19995 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: Ulrich Merkel | Statement: [Angela Merkel, spouse, Ulrich Merkel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulrich Merkel
Context triple: [Angela Merkel, spouse, Ulrich Merkel]
  • A. Ulrich Merkel chosen
    Ulrich Merkel is a German physicist best known as the first husband of former German chancellor Angela Merkel.
  • B. 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.
  • C. Hans-Georg von Friedeburg
    Hans-Georg von Friedeburg was a German admiral who served as the last commander-in-chief of the Kriegsmarine during World War II and participated in Germany’s surrender negotiations in 1945.
  • D. Jürgen Büscher
    Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
  • E. Walter Kohl
    Walter Kohl is a German businessman and author best known as the son of former Chancellor Helmut Kohl.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b32c5b508190a570c94a6647ba70 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258152cc8190a24456aefd58f19c completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:40 p.m.