Triple

T6428763
Position Surface form Disambiguated ID Type / Status
Subject Federal Ministry of Justice of Germany E128124 entity
Predicate hasStateSecretary P23783 FINISHED
Object Angelika Schlunck
Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
E592469 NE FINISHED

How this triple was built (4 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: Angelika Schlunck | Statement: [Federal Ministry of Justice of Germany, hasStateSecretary, Angelika Schlunck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelika Schlunck
Context triple: [Federal Ministry of Justice of Germany, hasStateSecretary, Angelika Schlunck]
  • A. Angelika Dittrich
    Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
  • B. Ute Grunert
    Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
  • C. Carolin Emcke
    Carolin Emcke is a German journalist, author, and public intellectual known for her writings on violence, human rights, and social justice.
  • D. Dietlinde Rehbock
    Dietlinde Rehbock is known as one of the children of bestselling adventure novelist Wilbur Smith.
  • E. Nadja Schildknecht
    Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Angelika Schlunck
Triple: [Federal Ministry of Justice of Germany, hasStateSecretary, Angelika Schlunck]
Generated description
Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Angelika Schlunck
Target entity description: Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
  • A. Angelika Dittrich
    Angelika Dittrich was the third wife of the famous Austrian composer Johann Strauss II.
  • B. Ute Grunert
    Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
  • C. Carolin Emcke
    Carolin Emcke is a German journalist, author, and public intellectual known for her writings on violence, human rights, and social justice.
  • D. Dietlinde Rehbock
    Dietlinde Rehbock is known as one of the children of bestselling adventure novelist Wilbur Smith.
  • E. Nadja Schildknecht
    Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
  • F. None of above. chosen

Provenance (5 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06922a27881908c5571f2aa31e0c1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e678608190b5a1dcd1076bc1f2 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c641d6024c8190996aae40851a3b73 completed March 27, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_69c6425e0a348190bc1eb90eb8c00597 completed March 27, 2026, 8:39 a.m.
Created at: March 22, 2026, 4:44 p.m.