Triple

T6523279
Position Surface form Disambiguated ID Type / Status
Subject Anton Webern E151239 entity
Predicate spouse P13 FINISHED
Object Wilhelmine Mörtl
Wilhelmine Mörtl was the wife of Austrian composer Anton Webern and a close companion throughout his life and career in the early 20th century.
 E602055 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: Wilhelmine Mörtl | Statement: [Anton Webern, spouse, Wilhelmine Mörtl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilhelmine Mörtl
Context triple: [Anton Webern, spouse, Wilhelmine Mörtl]
  • A. Rose Stradner
    Rose Stradner was an Austrian-American actress known for her work in Hollywood films of the 1930s and 1940s.
  • B. Hedwiga Reicher
    Hedwiga Reicher was a German-American actress known for her work on stage and in early 20th-century films.
  • C. Friedrich Mandl
    Friedrich Mandl was an Austrian munitions manufacturer and arms dealer, known as one of the world’s leading armaments industrialists in the interwar period.
  • D. Rudolf Weiss
    Rudolf Weiss is a person notable enough to be specifically identified as a bearer of the surname Weiss.
  • E. Hermann Blankenstein
    Hermann Blankenstein was a prominent 19th-century German architect best known for designing numerous public buildings in Berlin, particularly schools and administrative structures.
  • 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: Wilhelmine Mörtl
Triple: [Anton Webern, spouse, Wilhelmine Mörtl]
Generated description
Wilhelmine Mörtl was the wife of Austrian composer Anton Webern and a close companion throughout his life and career in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilhelmine Mörtl
Target entity description: Wilhelmine Mörtl was the wife of Austrian composer Anton Webern and a close companion throughout his life and career in the early 20th century.
  • A. Rose Stradner
    Rose Stradner was an Austrian-American actress known for her work in Hollywood films of the 1930s and 1940s.
  • B. Hedwiga Reicher
    Hedwiga Reicher was a German-American actress known for her work on stage and in early 20th-century films.
  • C. Friedrich Mandl
    Friedrich Mandl was an Austrian munitions manufacturer and arms dealer, known as one of the world’s leading armaments industrialists in the interwar period.
  • D. Rudolf Weiss
    Rudolf Weiss is a person notable enough to be specifically identified as a bearer of the surname Weiss.
  • E. Hermann Blankenstein
    Hermann Blankenstein was a prominent 19th-century German architect best known for designing numerous public buildings in Berlin, particularly schools and administrative structures.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad970afc81909d3231203eacf413 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb74dfac81908eb44811869450ae completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cd049fac81908c955caa0ccac5ba completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce00096c8190a3015bcd392e0ce4 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:45 p.m.