Triple

T465607
Position Surface form Disambiguated ID Type / Status
Subject Angela Dorothea Kasner E8439 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 Dorothea Kasner, spouse, Ulrich Merkel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulrich Merkel
Context triple: [Angela Dorothea Kasner, 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. Lutz Zülicke
    Lutz Zülicke is a German physicist and academic best known for supervising Angela Merkel’s doctoral research in quantum chemistry.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd6ec708190b78c7f22deb3ca64 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a6fa632881908ab09767610e6a37 completed March 1, 2026, 8:52 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.