Triple

T3349319
Position Surface form Disambiguated ID Type / Status
Subject Mette-Sophie Gad E70450 entity
Predicate name P16 FINISHED
Object Mette-Sophie Gad E70450 NE FINISHED

How this triple was built (2 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: Mette-Sophie Gad | Statement: [Mette-Sophie Gad, name, Mette-Sophie Gad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mette-Sophie Gad
Context triple: [Mette-Sophie Gad, name, Mette-Sophie Gad]
  • A. Mette-Sophie Gad chosen
    Mette-Sophie Gad was the Danish wife of French Post-Impressionist painter Paul Gauguin, with whom she had several children before his departure to pursue art in Tahiti.
  • B. Pernille Bech Christensen
    Pernille Bech Christensen is a Danish film editor known for her work on acclaimed features such as the Oscar-winning drama "In a Better World."
  • C. Charlotte Bruus Christensen
    Charlotte Bruus Christensen is a Danish cinematographer known for her atmospheric, naturalistic visual style in films such as "A Quiet Place" and "Fences."
  • D. 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."
  • E. Thilde Benz
    Thilde Benz was one of the children of German engineer and automobile pioneer Karl Benz.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb21f3ae48190a33530712da01bc3 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252adb9c8190b053c8da0c0488a3 completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.