Triple

T13133568
Position Surface form Disambiguated ID Type / Status
Subject Jean-Claude Juncker E312023 entity
Predicate spouse P13 FINISHED
Object Christianne Frising
Christianne Frising is best known as the wife of Jean-Claude Juncker, the former Prime Minister of Luxembourg and longtime President of the European Commission.
E1029228 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: Christianne Frising | Statement: [Jean-Claude Juncker, spouse, Christianne Frising]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christianne Frising
Context triple: [Jean-Claude Juncker, spouse, Christianne Frising]
  • A. Christianne Riss
    Christianne Riss was the wife of renowned French actor Jean Gabin.
  • B. Christianne Jensen
    Christianne Jensen is a vocalist known for her guest appearance on Jon Bellion’s album "Glory Sound Prep."
  • C. Sonja Haraldsen
    Sonja Haraldsen, now Queen Sonja of Norway, is the queen consort of King Harald V and a prominent member of the Norwegian royal family known for her cultural and charitable work.
  • D. Louise Lunde
    Louise Lunde is known as the spouse of American character actor Lance Henriksen.
  • E. Laura Holmgren
    Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
  • 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: Christianne Frising
Triple: [Jean-Claude Juncker, spouse, Christianne Frising]
Generated description
Christianne Frising is best known as the wife of Jean-Claude Juncker, the former Prime Minister of Luxembourg and longtime President of the European Commission.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christianne Frising
Target entity description: Christianne Frising is best known as the wife of Jean-Claude Juncker, the former Prime Minister of Luxembourg and longtime President of the European Commission.
  • A. Christianne Riss
    Christianne Riss was the wife of renowned French actor Jean Gabin.
  • B. Christianne Jensen
    Christianne Jensen is a vocalist known for her guest appearance on Jon Bellion’s album "Glory Sound Prep."
  • C. Sonja Haraldsen
    Sonja Haraldsen, now Queen Sonja of Norway, is the queen consort of King Harald V and a prominent member of the Norwegian royal family known for her cultural and charitable work.
  • D. Louise Lunde
    Louise Lunde is known as the spouse of American character actor Lance Henriksen.
  • E. Laura Holmgren
    Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b3d72c8190b69ae56435a954fa completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff09a964819097fbb37a7f11eac5 completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f701e348d881908db3622cc8e082c3 completed May 3, 2026, 8:05 a.m.
NED2 Entity disambiguation (via description) batch_69f7031a4490819081da260edd969ee8 completed May 3, 2026, 8:11 a.m.
Created at: April 9, 2026, 9:08 p.m.