Triple

T18065261
Position Surface form Disambiguated ID Type / Status
Subject Henri Toivonen E432278 entity
Predicate familyName P18 FINISHED
Object Toivonen
Toivonen is a Finnish surname most notably associated with the late rally driver Henri Toivonen and his motorsport family.
E1304569 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: Toivonen | Statement: [Henri Toivonen, familyName, Toivonen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toivonen
Context triple: [Henri Toivonen, familyName, Toivonen]
  • A. Toivakka
    Toivakka is a small rural municipality in Central Finland known for its lakes, forests, and traditional Finnish countryside.
  • B. Väinö
    Väinö is a Finnish masculine given name historically borne by several notable figures in politics, arts, and sports in Finland.
  • C. Vappu Tuomioja
    Vappu Tuomioja was a Finnish politician and social activist known for her work in the Social Democratic movement and as the mother of diplomat and politician Erkki Tuomioja.
  • D. Jarka Ruus
    Jarka Ruus is a fantasy novel by Terry Brooks that begins the High Druid of Shannara subseries within the larger Shannara universe.
  • E. Hannu Toivonen
    Hannu Toivonen is a Finnish computer scientist known for his contributions to data mining, pattern discovery, and artificial intelligence research.
  • 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: Toivonen
Triple: [Henri Toivonen, familyName, Toivonen]
Generated description
Toivonen is a Finnish surname most notably associated with the late rally driver Henri Toivonen and his motorsport family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toivonen
Target entity description: Toivonen is a Finnish surname most notably associated with the late rally driver Henri Toivonen and his motorsport family.
  • A. Toivakka
    Toivakka is a small rural municipality in Central Finland known for its lakes, forests, and traditional Finnish countryside.
  • B. Väinö
    Väinö is a Finnish masculine given name historically borne by several notable figures in politics, arts, and sports in Finland.
  • C. Vappu Tuomioja
    Vappu Tuomioja was a Finnish politician and social activist known for her work in the Social Democratic movement and as the mother of diplomat and politician Erkki Tuomioja.
  • D. Jarka Ruus
    Jarka Ruus is a fantasy novel by Terry Brooks that begins the High Druid of Shannara subseries within the larger Shannara universe.
  • E. Hannu Toivonen
    Hannu Toivonen is a Finnish computer scientist known for his contributions to data mining, pattern discovery, and artificial intelligence research.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce81de88190bd94d4ccee3e180c completed April 19, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03566e299c8190aa4c746183a4736a completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03597b2d3c81909425547a91b58fdd completed May 12, 2026, 4:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0359d89b7c819088b202cd618014fd completed May 12, 2026, 4:48 p.m.
Created at: April 10, 2026, 10:26 a.m.