Triple

T9112768
Position Surface form Disambiguated ID Type / Status
Subject Morten Tyldum E218641 entity
Predicate spouse P13 FINISHED
Object Janike Tyldum
Janike Tyldum is known as the wife of Norwegian film director Morten Tyldum.
 E779112 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: Janike Tyldum | Statement: [Morten Tyldum, spouse, Janike Tyldum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Janike Tyldum
Context triple: [Morten Tyldum, spouse, Janike Tyldum]
  • A. Maren Svarstad
    Maren Svarstad was a daughter of the Norwegian Nobel Prize–winning author Sigrid Undset.
  • B. Rigmor Aasrud
    Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
  • C. Martin Solveig
    Martin Solveig is a French DJ, producer, and songwriter known for his catchy electronic dance music hits and international club anthems.
  • D. Siv Jensen
    Siv Jensen is a Norwegian politician who served as leader of the right-wing Progress Party and as Norway’s Minister of Finance.
  • E. Kim Roentved
    Kim Roentved is a Danish former professional soccer player best known as a star defender in the Major Indoor Soccer League during the 1980s and 1990s.
  • 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: Janike Tyldum
Triple: [Morten Tyldum, spouse, Janike Tyldum]
Generated description
Janike Tyldum is known as the wife of Norwegian film director Morten Tyldum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Janike Tyldum
Target entity description: Janike Tyldum is known as the wife of Norwegian film director Morten Tyldum.
  • A. Maren Svarstad
    Maren Svarstad was a daughter of the Norwegian Nobel Prize–winning author Sigrid Undset.
  • B. Rigmor Aasrud
    Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
  • C. Martin Solveig
    Martin Solveig is a French DJ, producer, and songwriter known for his catchy electronic dance music hits and international club anthems.
  • D. Siv Jensen
    Siv Jensen is a Norwegian politician who served as leader of the right-wing Progress Party and as Norway’s Minister of Finance.
  • E. Kim Roentved
    Kim Roentved is a Danish former professional soccer player best known as a star defender in the Major Indoor Soccer League during the 1980s and 1990s.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03052716c8190835b0d3357a29ce5 completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d0316f47c88190920843b469d15069 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032778adc8190a087497507a6e1ca completed April 3, 2026, 9:34 p.m.
Created at: March 30, 2026, 7:16 p.m.