Triple

T12021217
Position Surface form Disambiguated ID Type / Status
Subject Erich Honecker E286151 entity
Predicate child P120 FINISHED
Object Sonja Honecker E286151 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: Sonja Honecker | Statement: [Erich Honecker, child, Sonja Honecker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonja Honecker
Context triple: [Erich Honecker, child, Sonja Honecker]
  • A. Sonja Honecker chosen
    Sonja Honecker is the daughter of Erich Honecker, the longtime leader of the former German Democratic Republic (East Germany).
  • B. Margot Honecker
    Margot Honecker was a prominent East German politician who served as Minister of Education and was known for her hardline communist stance and influential role in the German Democratic Republic.
  • C. Johanna Grotewohl
    Johanna Grotewohl was the wife of Otto Grotewohl, the first Prime Minister of the German Democratic Republic (East Germany).
  • D. Bärbel Wachholz
    Bärbel Wachholz was a popular East German schlager singer of the 1950s and 1960s, known for her hit songs and widespread acclaim in the GDR.
  • E. Marie-Luise Kiesinger
    Marie-Luise Kiesinger was the wife of former West German Chancellor Kurt Georg Kiesinger and served as Germany’s First Lady during his term in office.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ed15408190afc21afd57d6a737 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d4156ec8190bfc6d1180ac41d06 completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.