Triple

T3408558
Position Surface form Disambiguated ID Type / Status
Subject Emil Nolde E71834 entity
Predicate spouse P13 FINISHED
Object Ada Vilstrup
Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
E355336 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: Ada Vilstrup | Statement: [Emil Nolde, spouse, Ada Vilstrup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada Vilstrup
Context triple: [Emil Nolde, spouse, Ada Vilstrup]
  • A. Gitte Nielsen
    Gitte Nielsen is a Danish actress, model, and television personality best known for her roles in 1980s films such as "Red Sonja" and "Rocky IV."
  • B. Suzanne Brøgger
    Suzanne Brøgger is a Danish author and essayist known for her provocative, feminist, and often autobiographical explorations of sexuality, identity, and social norms.
  • C. Bergljot Bech
    Bergljot Bech was the wife of Norwegian Nobel Prize–winning author Knut Hamsun and a figure in early 20th-century Norwegian cultural life.
  • D. Hanne Grotjord
    Hanne Grotjord is the wife of Norwegian politician and former Prime Minister Thorbjørn Jagland.
  • E. Inge Nissen
    Inge Nissen is a former Danish basketball star best known for her standout collegiate career at Old Dominion University and subsequent induction into multiple halls of fame.
  • 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: Ada Vilstrup
Triple: [Emil Nolde, spouse, Ada Vilstrup]
Generated description
Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ada Vilstrup
Target entity description: Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
  • A. Gitte Nielsen
    Gitte Nielsen is a Danish actress, model, and television personality best known for her roles in 1980s films such as "Red Sonja" and "Rocky IV."
  • B. Suzanne Brøgger
    Suzanne Brøgger is a Danish author and essayist known for her provocative, feminist, and often autobiographical explorations of sexuality, identity, and social norms.
  • C. Bergljot Bech
    Bergljot Bech was the wife of Norwegian Nobel Prize–winning author Knut Hamsun and a figure in early 20th-century Norwegian cultural life.
  • D. Hanne Grotjord
    Hanne Grotjord is the wife of Norwegian politician and former Prime Minister Thorbjørn Jagland.
  • E. Inge Nissen
    Inge Nissen is a former Danish basketball star best known for her standout collegiate career at Old Dominion University and subsequent induction into multiple halls of fame.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdaf06c8190a8102a4e3c728066 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e486c3c81908e73c5b75baf119c completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc420b08190baee678721b1b32c completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.