Triple

T3263166
Position Surface form Disambiguated ID Type / Status
Subject Teemu Selänne E68459 entity
Predicate givenName P17 FINISHED
Object Teemu
Teemu is a Finnish given name most famously associated with legendary NHL goal-scorer Teemu Selänne.
 E342982 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: Teemu | Statement: [Teemu Selänne, givenName, Teemu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teemu
Context triple: [Teemu Selänne, givenName, Teemu]
  • A. Timo
    Timo is a given name, commonly used in various European countries, that originates as a variant of the name Timothy.
  • B. Tuomas Kantelinen
    Tuomas Kantelinen is a Finnish film composer known for his orchestral scores for both international and Finnish cinema.
  • C. Taneli Kekkonen
    Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
  • D. 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.
  • E. Toomas
    Toomas is a masculine given name commonly used in Estonia and other Baltic and Nordic countries, equivalent to the English name Thomas.
  • 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: Teemu
Triple: [Teemu Selänne, givenName, Teemu]
Generated description
Teemu is a Finnish given name most famously associated with legendary NHL goal-scorer Teemu Selänne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teemu
Target entity description: Teemu is a Finnish given name most famously associated with legendary NHL goal-scorer Teemu Selänne.
  • A. Timo
    Timo is a given name, commonly used in various European countries, that originates as a variant of the name Timothy.
  • B. Tuomas Kantelinen
    Tuomas Kantelinen is a Finnish film composer known for his orchestral scores for both international and Finnish cinema.
  • C. Taneli Kekkonen
    Taneli Kekkonen was a Finnish diplomat and the son of long-serving Finnish President Urho Kekkonen.
  • D. 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.
  • E. Toomas
    Toomas is a masculine given name commonly used in Estonia and other Baltic and Nordic countries, equivalent to the English name Thomas.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee2ec8481908a0c0f4a32c97fe0 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b296709f84819094fe9db721a44f83 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c1c65c81909e661c6beaaec9af completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.