Triple

T16504676
Position Surface form Disambiguated ID Type / Status
Subject Christian Michelsen E400894 entity
Predicate familyName P18 FINISHED
Object Michelsen
Michelsen is a Norwegian surname most notably associated with Christian Michelsen, the early 20th-century statesman who played a key role in Norway’s independence from Sweden.
 E1217494 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: Michelsen | Statement: [Christian Michelsen, familyName, Michelsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michelsen
Context triple: [Christian Michelsen, familyName, Michelsen]
  • A. Merrild
    Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
  • B. Mellerud
    Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
  • C. Mogensen
    Mogensen is a Danish surname borne by various notable individuals in fields such as politics, sports, and science.
  • D. Meyerhof
    Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
  • E. Thorkildsen
    Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
  • 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: Michelsen
Triple: [Christian Michelsen, familyName, Michelsen]
Generated description
Michelsen is a Norwegian surname most notably associated with Christian Michelsen, the early 20th-century statesman who played a key role in Norway’s independence from Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michelsen
Target entity description: Michelsen is a Norwegian surname most notably associated with Christian Michelsen, the early 20th-century statesman who played a key role in Norway’s independence from Sweden.
  • A. Merrild
    Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
  • B. Mellerud
    Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
  • C. Mogensen
    Mogensen is a Danish surname borne by various notable individuals in fields such as politics, sports, and science.
  • D. Meyerhof
    Meyerhof is a surname of German origin, notably borne by biochemist Otto Fritz Meyerhof, a Nobel laureate recognized for his work on muscle metabolism.
  • E. Thorkildsen
    Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058305e308190a22cbd03daec53aa completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a005c0840608190bf3fa7a0501e9e8a completed May 10, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a005c9d1a20819091a14490577d51ba completed May 10, 2026, 10:23 a.m.
Created at: April 10, 2026, 5:14 a.m.