Triple

T1828450
Position Surface form Disambiguated ID Type / Status
Subject Kaarlo Juho Ståhlberg E40707 entity
Predicate givenName P17 FINISHED
Object Kaarlo
Kaarlo is a Finnish masculine given name, notably borne by Finland’s first president, Kaarlo Juho Ståhlberg.
 E203349 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: Kaarlo | Statement: [Kaarlo Juho Ståhlberg, givenName, Kaarlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaarlo
Context triple: [Kaarlo Juho Ståhlberg, givenName, Kaarlo]
  • A. Kullervo Manner
    Kullervo Manner was a Finnish socialist politician and leader of the Finnish People's Delegation who served as the political head of the Red side during the Finnish Civil War.
  • B. Jaakko
    Jaakko is a Finnish given name, equivalent to the English name James.
  • C. Antti
    Antti is a Finnish given name, commonly used as a variant of the name Anton or Anthony.
  • D. Matthias Castrén
    Matthias Castrén was a 19th-century Finnish linguist and ethnographer known for his pioneering comparative studies of Uralic and related northern Eurasian languages and for helping formulate the early concept of an Altaic language family.
  • E. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • 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: Kaarlo
Triple: [Kaarlo Juho Ståhlberg, givenName, Kaarlo]
Generated description
Kaarlo is a Finnish masculine given name, notably borne by Finland’s first president, Kaarlo Juho Ståhlberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaarlo
Target entity description: Kaarlo is a Finnish masculine given name, notably borne by Finland’s first president, Kaarlo Juho Ståhlberg.
  • A. Kullervo Manner
    Kullervo Manner was a Finnish socialist politician and leader of the Finnish People's Delegation who served as the political head of the Red side during the Finnish Civil War.
  • B. Jaakko
    Jaakko is a Finnish given name, equivalent to the English name James.
  • C. Antti
    Antti is a Finnish given name, commonly used as a variant of the name Anton or Anthony.
  • D. Matthias Castrén
    Matthias Castrén was a 19th-century Finnish linguist and ethnographer known for his pioneering comparative studies of Uralic and related northern Eurasian languages and for helping formulate the early concept of an Altaic language family.
  • E. Karl
    Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb01191208190a7eaf3036638ec40 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6b4bdc8190b53dbdc9c31e3685 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07fff60819092b10dd0e417ac5a completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc0fd79c48190864f53a90517edc6 completed March 8, 2026, 6:33 p.m.
Created at: March 4, 2026, 7:32 p.m.