Triple

T2037872
Position Surface form Disambiguated ID Type / Status
Subject Urho Kekkonen E44673 entity
Predicate child P120 FINISHED
Object Taneli Kekkonen
Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
E229855 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: Taneli Kekkonen | Statement: [Urho Kekkonen, child, Taneli Kekkonen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taneli Kekkonen
Context triple: [Urho Kekkonen, child, Taneli Kekkonen]
  • A. Ahti Karjalainen
    Ahti Karjalainen was a prominent Finnish politician and economist who served multiple terms as Finland’s prime minister and held several key ministerial posts during the mid-20th century.
  • B. Ali Aaltonen
    Ali Aaltonen was a Finnish military officer who played a notable leadership role on the Red side during the Finnish Civil War.
  • C. Jasper Pääkkönen
    Jasper Pääkkönen is a Finnish actor known internationally for roles in films like "Da 5 Bloods" and the TV series "Vikings."
  • D. Wiljo Tuompo
    Wiljo Tuompo was a Finnish military officer best known for his leadership role during the Winter War, particularly in the defense against Soviet forces.
  • E. Tatu Ylönen
    Tatu Ylönen is a Finnish computer scientist and entrepreneur best known for creating the Secure Shell (SSH) protocol and founding SSH Communications Security.
  • 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: Taneli Kekkonen
Triple: [Urho Kekkonen, child, Taneli Kekkonen]
Generated description
Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taneli Kekkonen
Target entity description: Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
  • A. Ahti Karjalainen
    Ahti Karjalainen was a prominent Finnish politician and economist who served multiple terms as Finland’s prime minister and held several key ministerial posts during the mid-20th century.
  • B. Ali Aaltonen
    Ali Aaltonen was a Finnish military officer who played a notable leadership role on the Red side during the Finnish Civil War.
  • C. Jasper Pääkkönen
    Jasper Pääkkönen is a Finnish actor known internationally for roles in films like "Da 5 Bloods" and the TV series "Vikings."
  • D. Wiljo Tuompo
    Wiljo Tuompo was a Finnish military officer best known for his leadership role during the Winter War, particularly in the defense against Soviet forces.
  • E. Tatu Ylönen
    Tatu Ylönen is a Finnish computer scientist and entrepreneur best known for creating the Secure Shell (SSH) protocol and founding SSH Communications Security.
  • 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.