Triple

T9406055
Position Surface form Disambiguated ID Type / Status
Subject Annemarie Schwarzenbach E226590 entity
Predicate givenName P17 FINISHED
Object Annemarie
Annemarie is a feminine given name of German origin, often used in German-speaking and other European countries.
 E797206 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: Annemarie | Statement: [Annemarie Schwarzenbach, givenName, Annemarie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annemarie
Context triple: [Annemarie Schwarzenbach, givenName, Annemarie]
  • A. Juliane
    Juliane is a feminine given name, commonly used in various European languages, that is related to and often considered a variant of the name Juliana or Julie.
  • B. Betsie
    Betsie is the commonly used nickname of Betsie Verwoerd, the wife of former South African Prime Minister Hendrik Verwoerd.
  • C. Klara
    Klara is the given first name of Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl.
  • D. Anita
    Anita is a feminine given name used in various cultures, often as a diminutive of names like Ana or Anna.
  • E. Kleine Emme
    Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
  • 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: Annemarie
Triple: [Annemarie Schwarzenbach, givenName, Annemarie]
Generated description
Annemarie is a feminine given name of German origin, often used in German-speaking and other European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annemarie
Target entity description: Annemarie is a feminine given name of German origin, often used in German-speaking and other European countries.
  • A. Juliane
    Juliane is a feminine given name, commonly used in various European languages, that is related to and often considered a variant of the name Juliana or Julie.
  • B. Betsie
    Betsie is the commonly used nickname of Betsie Verwoerd, the wife of former South African Prime Minister Hendrik Verwoerd.
  • C. Klara
    Klara is the given first name of Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl.
  • D. Anita
    Anita is a feminine given name used in various cultures, often as a diminutive of names like Ana or Anna.
  • E. Kleine Emme
    Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c2b9bc81909a4ce91792294d1c completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1079bd644819081f9c8f25ff1c532 completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1082f41b48190b8588bb986028f59 completed April 4, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d108bab8c881909748ffbb4b23f4ba completed April 4, 2026, 12:48 p.m.
Created at: March 30, 2026, 7:47 p.m.