Triple

T7423927
Position Surface form Disambiguated ID Type / Status
Subject Menzel E171320 entity
Predicate hasNotableBearer P458 FINISHED
Object Birgit Menzel
Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
 E669604 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: Birgit Menzel | Statement: [Menzel, hasNotableBearer, Birgit Menzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Birgit Menzel
Context triple: [Menzel, hasNotableBearer, Birgit Menzel]
  • A. Birgit Kroencke
    Birgit Kroencke is a Danish former model and painter best known as the longtime wife of British actor Christopher Lee.
  • B. Barbara Scholz
    Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
  • C. Dagmar Berghoff
    Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
  • D. Dietlinde Rehbock
    Dietlinde Rehbock is known as one of the children of bestselling adventure novelist Wilbur Smith.
  • E. Birgit Kinder
    Birgit Kinder is a German artist best known for her iconic mural of a Trabant car breaking through the Berlin Wall at the East Side Gallery.
  • 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: Birgit Menzel
Triple: [Menzel, hasNotableBearer, Birgit Menzel]
Generated description
Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Birgit Menzel
Target entity description: Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
  • A. Birgit Kroencke
    Birgit Kroencke is a Danish former model and painter best known as the longtime wife of British actor Christopher Lee.
  • B. Barbara Scholz
    Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
  • C. Dagmar Berghoff
    Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
  • D. Dietlinde Rehbock
    Dietlinde Rehbock is known as one of the children of bestselling adventure novelist Wilbur Smith.
  • E. Birgit Kinder
    Birgit Kinder is a German artist best known for her iconic mural of a Trabant car breaking through the Berlin Wall at the East Side Gallery.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2eece588190905774e7151edcb8 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845ecfe988190a981924f5ef49c83 completed March 28, 2026, 9:19 p.m.
NEDg Description generation batch_69c846d0b1348190bc2bf23e75c535a9 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c84748b8988190b4f85c253ea9e403 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:12 p.m.