Triple

T198772
Position Surface form Disambiguated ID Type / Status
Subject Norwegian flag E4054 entity
Predicate designer P184 FINISHED
Object Fredrik Meltzer
Fredrik Meltzer was a Norwegian politician and merchant best known for creating the design of Norway’s national flag in the early 19th century.
 E32630 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: Fredrik Meltzer | Statement: [Norwegian flag, designer, Fredrik Meltzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fredrik Meltzer
Context triple: [Norwegian flag, designer, Fredrik Meltzer]
  • A. Martin Lindauer
    Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
  • B. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • C. Fredrik Heinig
    Fredrik Heinig is a film producer known for his work on the documentary "I Am Greta" about climate activist Greta Thunberg.
  • D. Christian M. Ravndal
    Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
  • E. Lars Jensen
    Lars Jensen is an entrepreneur best known as a co-founder of the online advertising technology company DoubleClick.
  • 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: Fredrik Meltzer
Triple: [Norwegian flag, designer, Fredrik Meltzer]
Generated description
Fredrik Meltzer was a Norwegian politician and merchant best known for creating the design of Norway’s national flag in the early 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fredrik Meltzer
Target entity description: Fredrik Meltzer was a Norwegian politician and merchant best known for creating the design of Norway’s national flag in the early 19th century.
  • A. Martin Lindauer
    Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
  • B. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • C. Fredrik Heinig
    Fredrik Heinig is a film producer known for his work on the documentary "I Am Greta" about climate activist Greta Thunberg.
  • D. Christian M. Ravndal
    Christian M. Ravndal was an American diplomat who served as the United States Ambassador to Hungary.
  • E. Lars Jensen
    Lars Jensen is an entrepreneur best known as a co-founder of the online advertising technology company DoubleClick.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bcb2c7c8190b0e031e93651182a completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a376589afc8190865a988b5dc71497 completed Feb. 28, 2026, 11:12 p.m.
NEDg Description generation batch_69a376cfa62c8190967fd7477e8440ab completed Feb. 28, 2026, 11:14 p.m.
NED2 Entity disambiguation (via description) batch_69a3772b8a848190b5367ba2e64c6a43 completed Feb. 28, 2026, 11:15 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.