Triple

T2567996
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Mobile E57595 entity
Predicate keyPerson P256 FINISHED
Object Timo Toikkanen
Timo Toikkanen is a technology executive known for his leadership roles at Microsoft Mobile and in the broader mobile and software industries.
E279420 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: Timo Toikkanen | Statement: [Microsoft Mobile, keyPerson, Timo Toikkanen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timo Toikkanen
Context triple: [Microsoft Mobile, keyPerson, Timo Toikkanen]
  • A. Ali Aaltonen
    Ali Aaltonen was a Finnish military officer who played a notable leadership role on the Red side during the Finnish Civil War.
  • B. Sakari Tuomioja
    Sakari Tuomioja was a Finnish politician and diplomat who served as Prime Minister of Finland in the 1950s and later as Governor of the Bank of Finland.
  • C. Mikael Hakkarainen
    Mikael Hakkarainen is a Finnish professional ice hockey forward who has played in North American junior and professional leagues and was drafted by the Chicago Blackhawks in the NHL.
  • D. Taneli Kekkonen
    Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
  • E. Jasper Pääkkönen
    Jasper Pääkkönen is a Finnish actor known internationally for roles in films like "Da 5 Bloods" and the TV series "Vikings."
  • 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: Timo Toikkanen
Triple: [Microsoft Mobile, keyPerson, Timo Toikkanen]
Generated description
Timo Toikkanen is a technology executive known for his leadership roles at Microsoft Mobile and in the broader mobile and software industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timo Toikkanen
Target entity description: Timo Toikkanen is a technology executive known for his leadership roles at Microsoft Mobile and in the broader mobile and software industries.
  • A. Ali Aaltonen
    Ali Aaltonen was a Finnish military officer who played a notable leadership role on the Red side during the Finnish Civil War.
  • B. Sakari Tuomioja
    Sakari Tuomioja was a Finnish politician and diplomat who served as Prime Minister of Finland in the 1950s and later as Governor of the Bank of Finland.
  • C. Mikael Hakkarainen
    Mikael Hakkarainen is a Finnish professional ice hockey forward who has played in North American junior and professional leagues and was drafted by the Chicago Blackhawks in the NHL.
  • D. Taneli Kekkonen
    Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
  • E. Jasper Pääkkönen
    Jasper Pääkkönen is a Finnish actor known internationally for roles in films like "Da 5 Bloods" and the TV series "Vikings."
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd36191848190b6255fa9029429bd completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6569e38881908d1492277fe0c60c completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af67330d4c8190945b6ce8d20546ab completed March 10, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69af68c5ad9c8190bc5ef698963685b2 completed March 10, 2026, 12:41 a.m.
Created at: March 6, 2026, 9:48 p.m.