Triple

T7925759
Position Surface form Disambiguated ID Type / Status
Subject Raye E184055 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Martin Solveig
Martin Solveig is a French DJ, producer, and songwriter known for his catchy electronic dance music hits and international club anthems.
 E698111 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: Martin Solveig | Statement: [Raye, hasCollaboratedWith, Martin Solveig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martin Solveig
Context triple: [Raye, hasCollaboratedWith, Martin Solveig]
  • A. Maren Svarstad
    Maren Svarstad was a daughter of the Norwegian Nobel Prize–winning author Sigrid Undset.
  • B. Anne Borg
    Anne Borg is a Norwegian physicist and academic leader who has served as rector of the Norwegian University of Science and Technology (NTNU).
  • C. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • 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. Eli Landsem
    Eli Landsem is a Norwegian football coach best known for managing the Norway women's national team at the international level.
  • 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: Martin Solveig
Triple: [Raye, hasCollaboratedWith, Martin Solveig]
Generated description
Martin Solveig is a French DJ, producer, and songwriter known for his catchy electronic dance music hits and international club anthems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martin Solveig
Target entity description: Martin Solveig is a French DJ, producer, and songwriter known for his catchy electronic dance music hits and international club anthems.
  • A. Maren Svarstad
    Maren Svarstad was a daughter of the Norwegian Nobel Prize–winning author Sigrid Undset.
  • B. Anne Borg
    Anne Borg is a Norwegian physicist and academic leader who has served as rector of the Norwegian University of Science and Technology (NTNU).
  • C. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • 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. Eli Landsem
    Eli Landsem is a Norwegian football coach best known for managing the Norway women's national team at the international level.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aad48908190911905b4635bf01e completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bf89a0c81908e1cb988c0bc1d62 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.