Triple

T22210776
Position Surface form Disambiguated ID Type / Status
Subject Lena Olin E548937 entity
Predicate parent P120 FINISHED
Object Britta Holmberg
Britta Holmberg was a Swedish actress known for her work in mid-20th-century Swedish cinema and theater.
E1524092 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: Britta Holmberg | Statement: [Lena Olin, parent, Britta Holmberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Britta Holmberg
Context triple: [Lena Olin, parent, Britta Holmberg]
  • A. Ellen Lundström
    Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
  • B. Maria Nilsson
    Maria Nilsson is an archaeologist known for directing research and excavations at the ancient Egyptian site of Gebel el-Silsila.
  • C. Ylva Johansson
    Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
  • D. Elin Hamrin
    Elin Hamrin was the wife of Swedish politician and former Prime Minister Felix Hamrin.
  • E. Marianne Dahlbäck
    Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
  • 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: Britta Holmberg
Triple: [Lena Olin, parent, Britta Holmberg]
Generated description
Britta Holmberg was a Swedish actress known for her work in mid-20th-century Swedish cinema and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Britta Holmberg
Target entity description: Britta Holmberg was a Swedish actress known for her work in mid-20th-century Swedish cinema and theater.
  • A. Ellen Lundström
    Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
  • B. Maria Nilsson
    Maria Nilsson is an archaeologist known for directing research and excavations at the ancient Egyptian site of Gebel el-Silsila.
  • C. Ylva Johansson
    Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
  • D. Elin Hamrin
    Elin Hamrin was the wife of Swedish politician and former Prime Minister Felix Hamrin.
  • E. Marianne Dahlbäck
    Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2bcf748190a9721f0c9ae17e70 completed April 28, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa61cc9e48190ba5f6eb2a7cf3c9b completed May 18, 2026, 5:39 a.m.
NEDg Description generation batch_6a0aa6c001d48190b49866f02514aa28 completed May 18, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa74204a081909fa0d80858bfa6bb completed May 18, 2026, 5:44 a.m.
Created at: April 16, 2026, 8:36 p.m.