Triple

T3274690
Position Surface form Disambiguated ID Type / Status
Subject Ilse Braun E68731 entity
Predicate givenName P17 FINISHED
Object Ilse
Ilse is a feminine given name of German origin, commonly used in German-speaking countries and derived from Elisabeth.
 E344536 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: Ilse | Statement: [Ilse Braun, givenName, Ilse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilse
Context triple: [Ilse Braun, givenName, Ilse]
  • A. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • B. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • C. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • D. Elsa Schneider
    Elsa Schneider is a fictional Austrian art historian and covert Nazi collaborator who appears as a central antagonist in the film "Indiana Jones and the Last Crusade."
  • E. Verena
    Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
  • 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: Ilse
Triple: [Ilse Braun, givenName, Ilse]
Generated description
Ilse is a feminine given name of German origin, commonly used in German-speaking countries and derived from Elisabeth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilse
Target entity description: Ilse is a feminine given name of German origin, commonly used in German-speaking countries and derived from Elisabeth.
  • A. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • B. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • C. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • D. Elsa Schneider
    Elsa Schneider is a fictional Austrian art historian and covert Nazi collaborator who appears as a central antagonist in the film "Indiana Jones and the Last Crusade."
  • E. Verena
    Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff8a440819092509bc8511b2785 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e841d5588190a53ba90a46721b0f completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8b79d308190922a310ff1337eae completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2e9ba41948190b9e4f6f54f32603c completed March 12, 2026, 4:28 p.m.
Created at: March 8, 2026, 3:10 p.m.