Triple

T15073991
Position Surface form Disambiguated ID Type / Status
Subject Stockholm University E379950 entity
Predicate hasNotableAlumni P51 FINISHED
Object Ebba Witt-Brattström
Ebba Witt-Brattström is a Swedish literary scholar, feminist, and author known for her work on Nordic women’s literature and gender studies.
E1134813 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: Ebba Witt-Brattström | Statement: [Stockholm University, hasNotableAlumni, Ebba Witt-Brattström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebba Witt-Brattström
Context triple: [Stockholm University, hasNotableAlumni, Ebba Witt-Brattström]
  • A. Agneta Åse Fältskog
    Agneta Åse Fältskog is a Swedish singer, songwriter, and member of the internationally renowned pop group ABBA.
  • B. Birgitta Ljungberg
    Birgitta Ljungberg is known as the wife of film director George P. Cosmatos.
  • C. Gunilla Bielke
    Gunilla Bielke was a Swedish noblewoman who became Queen consort of Sweden through her marriage to King John III in the late 16th century.
  • D. Agneta Ekmanner
    Agneta Ekmanner is a Swedish actress known for her work in film and television, and for having been married to renowned tenor Nicolai Gedda.
  • E. Pernilla Wahlgren
    Pernilla Wahlgren is a Swedish singer, actress, and television personality known for her long career in entertainment and frequent appearances in music, theater, and TV shows.
  • 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: Ebba Witt-Brattström
Triple: [Stockholm University, hasNotableAlumni, Ebba Witt-Brattström]
Generated description
Ebba Witt-Brattström is a Swedish literary scholar, feminist, and author known for her work on Nordic women’s literature and gender studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ebba Witt-Brattström
Target entity description: Ebba Witt-Brattström is a Swedish literary scholar, feminist, and author known for her work on Nordic women’s literature and gender studies.
  • A. Agneta Åse Fältskog
    Agneta Åse Fältskog is a Swedish singer, songwriter, and member of the internationally renowned pop group ABBA.
  • B. Birgitta Ljungberg
    Birgitta Ljungberg is known as the wife of film director George P. Cosmatos.
  • C. Gunilla Bielke
    Gunilla Bielke was a Swedish noblewoman who became Queen consort of Sweden through her marriage to King John III in the late 16th century.
  • D. Agneta Ekmanner
    Agneta Ekmanner is a Swedish actress known for her work in film and television, and for having been married to renowned tenor Nicolai Gedda.
  • E. Pernilla Wahlgren
    Pernilla Wahlgren is a Swedish singer, actress, and television personality known for her long career in entertainment and frequent appearances in music, theater, and TV shows.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cff69c8190b6252509c1aa7ebb completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea6bf2558819082fc91fe8df6f3f5 completed May 9, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fea8018a088190b6eba72a7e6196b2 completed May 9, 2026, 3:20 a.m.
Created at: April 10, 2026, 3:02 a.m.