Triple
T9719265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Väinö |
E235419
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Väinö Hakkarainen
Väinö Hakkarainen is a Finnish individual notable primarily for bearing the given name Väinö.
|
E840170
|
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: Väinö Hakkarainen | Statement: [Väinö, hasNotableBearer, Väinö Hakkarainen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Väinö Hakkarainen Context triple: [Väinö, hasNotableBearer, Väinö Hakkarainen]
-
A.
Paavo Haavikko
Paavo Haavikko was a prominent Finnish poet, playwright, and publisher, regarded as one of the most influential figures in 20th-century Finnish literature.
-
B.
Väinö Leskinen
Väinö Leskinen was a prominent Finnish Social Democratic politician and trade union leader who played a key role in post-World War II Finnish politics.
-
C.
Martti Miettunen
Martti Miettunen was a Finnish politician who served twice as Prime Minister and was a prominent figure in mid-20th-century Finnish politics.
-
D.
Juhani Mykkänen
Juhani Mykkänen is an entrepreneur best known as a co-founder of the social gaming company Playfish.
-
E.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
- 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: Väinö Hakkarainen Triple: [Väinö, hasNotableBearer, Väinö Hakkarainen]
Generated description
Väinö Hakkarainen is a Finnish individual notable primarily for bearing the given name Väinö.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Väinö Hakkarainen Target entity description: Väinö Hakkarainen is a Finnish individual notable primarily for bearing the given name Väinö.
-
A.
Paavo Haavikko
Paavo Haavikko was a prominent Finnish poet, playwright, and publisher, regarded as one of the most influential figures in 20th-century Finnish literature.
-
B.
Väinö Leskinen
Väinö Leskinen was a prominent Finnish Social Democratic politician and trade union leader who played a key role in post-World War II Finnish politics.
-
C.
Martti Miettunen
Martti Miettunen was a Finnish politician who served twice as Prime Minister and was a prominent figure in mid-20th-century Finnish politics.
-
D.
Juhani Mykkänen
Juhani Mykkänen is an entrepreneur best known as a co-founder of the social gaming company Playfish.
-
E.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b58f7ea08190a96d88bafe9d4308 |
completed | April 5, 2026, 7:18 p.m. |
| NEDg | Description generation | batch_69d2b741cad481909f04e2f8da68753c |
completed | April 5, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b805afa08190a43745d764a75050 |
completed | April 5, 2026, 7:29 p.m. |
Created at: March 30, 2026, 8:20 p.m.