Triple

T12413281
Position Surface form Disambiguated ID Type / Status
Subject Klaus Mäkelä E296571 entity
Predicate familyName P18 FINISHED
Object Mäkelä
Mäkelä is a Finnish surname borne by various notable individuals, including figures in the arts, sports, and public life.
 E980851 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: Mäkelä | Statement: [Klaus Mäkelä, familyName, Mäkelä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mäkelä
Context triple: [Klaus Mäkelä, familyName, Mäkelä]
  • A. Muurla
    Muurla was a former municipality in Finland that later became part of the city of Salo.
  • B. Kukkonen
    Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
  • C. Särkisalo
    Särkisalo is a former coastal municipality in Southwest Finland, known for its archipelago landscape and later incorporation into the city of Salo.
  • D. Erkkola
    Erkkola is a historic Finnish artist’s home and museum on the shore of Lake Tuusulanjärvi, associated with the country’s national cultural heritage.
  • E. Kolehmainen
    Kolehmainen is a Finnish surname most famously associated with Olympic long-distance running champion Hannes Kolehmainen.
  • 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: Mäkelä
Triple: [Klaus Mäkelä, familyName, Mäkelä]
Generated description
Mäkelä is a Finnish surname borne by various notable individuals, including figures in the arts, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mäkelä
Target entity description: Mäkelä is a Finnish surname borne by various notable individuals, including figures in the arts, sports, and public life.
  • A. Muurla
    Muurla was a former municipality in Finland that later became part of the city of Salo.
  • B. Kukkonen
    Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
  • C. Särkisalo
    Särkisalo is a former coastal municipality in Southwest Finland, known for its archipelago landscape and later incorporation into the city of Salo.
  • D. Erkkola
    Erkkola is a historic Finnish artist’s home and museum on the shore of Lake Tuusulanjärvi, associated with the country’s national cultural heritage.
  • E. Kolehmainen
    Kolehmainen is a Finnish surname most famously associated with Olympic long-distance running champion Hannes Kolehmainen.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6b0f9c8190813b6fe3f97570ac completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348ccaf88190aeb0dfb7fe1d8dec completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.