Triple

T12754922
Position Surface form Disambiguated ID Type / Status
Subject Walter Ulbricht E304831 entity
Predicate spouse P13 FINISHED
Object Lotte Kühn E304831 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: Lotte Kühn | Statement: [Walter Ulbricht, spouse, Lotte Kühn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotte Kühn
Context triple: [Walter Ulbricht, spouse, Lotte Kühn]
  • A. Lotte Kühn chosen
    Lotte Kühn was the wife of East German leader Walter Ulbricht and a political figure within the early German Democratic Republic.
  • B. Herta Ehlert
    Herta Ehlert was a German SS overseer at Nazi concentration camps who was later prosecuted for war crimes after World War II.
  • C. Käthe Vörnle
    Käthe Vörnle, better known professionally as Karen Verne, was a German-born actress who appeared in British and American films in the 1930s and 1940s.
  • D. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • E. Gertrud Strube
    Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb735e481909f120f95fa68f4f1 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:27 p.m.