Triple

T2418431
Position Surface form Disambiguated ID Type / Status
Subject Gretchen E52360 entity
Predicate diminutiveOf P456 FINISHED
Object Margarete
Margarete is a traditional German female given name, equivalent to Margaret in English.
 E108885 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: Margarete | Statement: [Gretchen, diminutiveOf, Margarete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margarete
Context triple: [Gretchen, diminutiveOf, Margarete]
  • A. Martha Hagen
    Martha Hagen is known as the wife of American comedian, actor, and writer Michael Ian Black.
  • B. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • C. Margarete Weber
    Margarete Weber was the wife of Albert Speer, the Nazi Germany architect and armaments minister.
  • D. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • E. Bettina
    Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
  • 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: Margarete
Triple: [Gretchen, diminutiveOf, Margarete]
Generated description
Margarete is a traditional German female given name, equivalent to Margaret in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margarete
Target entity description: Margarete is a traditional German female given name, equivalent to Margaret in English.
  • A. Martha Hagen
    Martha Hagen is known as the wife of American comedian, actor, and writer Michael Ian Black.
  • B. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • C. Margarete Weber chosen
    Margarete Weber was the wife of Albert Speer, the Nazi Germany architect and armaments minister.
  • D. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • E. Bettina
    Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
  • F. None of above.

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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc950516c8190989591673de6b1f7 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69af177ff6508190b549227f4cfd9876 completed March 9, 2026, 6:54 p.m.
NEDg Description generation batch_69af1aad7cf48190923ca22477614758 completed March 9, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_69af1afeb07c8190a03b419d01a6ba8c completed March 9, 2026, 7:09 p.m.
Created at: March 6, 2026, 9:42 p.m.