Triple
T10824323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapio |
E255454
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object |
Tapio Wirtanen
Tapio Wirtanen is a person whose given name is Tapio, likely of Finnish origin.
|
E888225
|
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: Tapio Wirtanen | Statement: [Tapio, isGivenNameOf, Tapio Wirtanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapio Wirtanen Context triple: [Tapio, isGivenNameOf, Tapio Wirtanen]
-
A.
Miro Heiskanen
Miro Heiskanen is a Finnish professional ice hockey defenseman known for his elite skating, two-way play, and role as a cornerstone blueliner in the NHL.
-
B.
Niko Kapanen
Niko Kapanen is a Finnish former professional ice hockey center who played several seasons in the NHL and KHL and represented Finland in multiple international tournaments.
-
C.
Mikael Niemi
Mikael Niemi is a Swedish author best known for his novel "Popular Music from Vittula," which won the August Prize and brought him international recognition.
-
D.
Teemu Hartikainen
Teemu Hartikainen is a Finnish professional ice hockey forward known for his strong play in the KHL and a brief stint in the NHL with the Edmonton Oilers.
-
E.
Klaus Mäkelä
Klaus Mäkelä is a Finnish conductor and cellist recognized as one of the leading young maestros in international classical music.
- 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: Tapio Wirtanen Triple: [Tapio, isGivenNameOf, Tapio Wirtanen]
Generated description
Tapio Wirtanen is a person whose given name is Tapio, likely of Finnish origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tapio Wirtanen Target entity description: Tapio Wirtanen is a person whose given name is Tapio, likely of Finnish origin.
-
A.
Miro Heiskanen
Miro Heiskanen is a Finnish professional ice hockey defenseman known for his elite skating, two-way play, and role as a cornerstone blueliner in the NHL.
-
B.
Niko Kapanen
Niko Kapanen is a Finnish former professional ice hockey center who played several seasons in the NHL and KHL and represented Finland in multiple international tournaments.
-
C.
Mikael Niemi
Mikael Niemi is a Swedish author best known for his novel "Popular Music from Vittula," which won the August Prize and brought him international recognition.
-
D.
Teemu Hartikainen
Teemu Hartikainen is a Finnish professional ice hockey forward known for his strong play in the KHL and a brief stint in the NHL with the Edmonton Oilers.
-
E.
Klaus Mäkelä
Klaus Mäkelä is a Finnish conductor and cellist recognized as one of the leading young maestros in international classical music.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734cf7918819094d36ea208c80d12 |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de858672d8819094baf4fe98b8dea4 |
completed | April 14, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_69de8e70da448190b80068fea047a88c |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de94dd45548190a88b5ab991756d12 |
completed | April 14, 2026, 7:26 p.m. |
Created at: April 8, 2026, 9:19 p.m.