Triple
T21592180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koskinen |
E532807
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ville Koskinen
Ville Koskinen is a Finnish individual notable enough to be specifically cited as a bearer of the surname Koskinen.
|
E1504356
|
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: Ville Koskinen | Statement: [Koskinen, hasNotableBearer, Ville Koskinen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ville Koskinen Context triple: [Koskinen, hasNotableBearer, Ville Koskinen]
-
A.
Janne Koskinen
Janne Koskinen is a Finnish professional ice hockey defenceman known for playing in European leagues.
-
B.
Juha Koskinen
Juha Koskinen is a Finnish individual notable enough to be recognized as a prominent bearer of the surname Koskinen.
-
C.
Pekka Koskinen
Pekka Koskinen is a Finnish entrepreneur and software developer best known as the founder of several SaaS companies, including Leadfeeder and Snoobi.
-
D.
Mikko Koskinen
Mikko Koskinen is a Finnish professional ice hockey goaltender best known for his time in the NHL with the Edmonton Oilers and in the KHL with SKA Saint Petersburg.
-
E.
Lasse Kukkonen
Lasse Kukkonen is a Finnish former professional ice hockey defenceman known for his international play with Finland’s national team and his career in European leagues and the NHL.
- 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: Ville Koskinen Triple: [Koskinen, hasNotableBearer, Ville Koskinen]
Generated description
Ville Koskinen is a Finnish individual notable enough to be specifically cited as a bearer of the surname Koskinen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ville Koskinen Target entity description: Ville Koskinen is a Finnish individual notable enough to be specifically cited as a bearer of the surname Koskinen.
-
A.
Janne Koskinen
Janne Koskinen is a Finnish professional ice hockey defenceman known for playing in European leagues.
-
B.
Juha Koskinen
Juha Koskinen is a Finnish individual notable enough to be recognized as a prominent bearer of the surname Koskinen.
-
C.
Pekka Koskinen
Pekka Koskinen is a Finnish entrepreneur and software developer best known as the founder of several SaaS companies, including Leadfeeder and Snoobi.
-
D.
Mikko Koskinen
Mikko Koskinen is a Finnish professional ice hockey goaltender best known for his time in the NHL with the Edmonton Oilers and in the KHL with SKA Saint Petersburg.
-
E.
Lasse Kukkonen
Lasse Kukkonen is a Finnish former professional ice hockey defenceman known for his international play with Finland’s national team and his career in European leagues and the NHL.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadeb56c8190bce79efadf3c644d |
completed | April 27, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bb5805081909e68cbd61d123870 |
completed | May 17, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_6a0a4c131b648190941732379c8d59a7 |
completed | May 17, 2026, 11:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4c6822888190beef01f049b91fac |
completed | May 17, 2026, 11:16 p.m. |
Created at: April 16, 2026, 6:32 p.m.