Triple

T2037900
Position Surface form Disambiguated ID Type / Status
Subject Sakari Tuomioja E44674 entity
Predicate givenName P17 FINISHED
Object Sakari
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
 E229859 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: Sakari | Statement: [Sakari Tuomioja, givenName, Sakari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sakari
Context triple: [Sakari Tuomioja, givenName, Sakari]
  • A. Jaakko
    Jaakko is a Finnish given name, equivalent to the English name James.
  • B. Kauniainen
    Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
  • C. Antti
    Antti is a Finnish given name, commonly used as a variant of the name Anton or Anthony.
  • D. Selke
    The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
  • E. Nousiainen
    Nousiainen is a small municipality in southwestern Finland known for its rural landscapes and historical significance as one of the country’s early ecclesiastical centers.
  • 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: Sakari
Triple: [Sakari Tuomioja, givenName, Sakari]
Generated description
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sakari
Target entity description: Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
  • A. Jaakko
    Jaakko is a Finnish given name, equivalent to the English name James.
  • B. Kauniainen
    Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
  • C. Antti
    Antti is a Finnish given name, commonly used as a variant of the name Anton or Anthony.
  • D. Selke
    The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
  • E. Nousiainen
    Nousiainen is a small municipality in southwestern Finland known for its rural landscapes and historical significance as one of the country’s early ecclesiastical centers.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95062c481908058d6da35337680 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff63de081908795a95c998dd9ac completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae20a6ce14819098007416d6377f2e completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae2130ba448190b91f590a348ebf88 completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:39 p.m.