Triple
T9151237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarja Halonen |
E219587
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Pentti Arajärvi
Pentti Arajärvi is a Finnish legal scholar and civil servant best known as the husband of former President of Finland Tarja Halonen.
|
E806392
|
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: Pentti Arajärvi | Statement: [Tarja Halonen, spouse, Pentti Arajärvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pentti Arajärvi Context triple: [Tarja Halonen, spouse, Pentti Arajärvi]
-
A.
Aarne Juutilainen
Aarne Juutilainen was a highly decorated Finnish Army officer and legendary front-line commander of the Winter War and Continuation War, renowned for his bravery and leadership.
-
B.
Kalevi Sorsa
Kalevi Sorsa was a prominent Finnish Social Democratic politician who served multiple terms as Prime Minister of Finland and was a central figure in the country’s postwar political life.
-
C.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
D.
Bertil Huttunen
Bertil Huttunen was an architect associated with the design of Toronto City Hall.
-
E.
Juhani Mykkänen
Juhani Mykkänen is an entrepreneur best known as a co-founder of the social gaming company Playfish.
- 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: Pentti Arajärvi Triple: [Tarja Halonen, spouse, Pentti Arajärvi]
Generated description
Pentti Arajärvi is a Finnish legal scholar and civil servant best known as the husband of former President of Finland Tarja Halonen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pentti Arajärvi Target entity description: Pentti Arajärvi is a Finnish legal scholar and civil servant best known as the husband of former President of Finland Tarja Halonen.
-
A.
Aarne Juutilainen
Aarne Juutilainen was a highly decorated Finnish Army officer and legendary front-line commander of the Winter War and Continuation War, renowned for his bravery and leadership.
-
B.
Kalevi Sorsa
Kalevi Sorsa was a prominent Finnish Social Democratic politician who served multiple terms as Prime Minister of Finland and was a central figure in the country’s postwar political life.
-
C.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
D.
Bertil Huttunen
Bertil Huttunen was an architect associated with the design of Toronto City Hall.
-
E.
Juhani Mykkänen
Juhani Mykkänen is an entrepreneur best known as a co-founder of the social gaming company Playfish.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96b57888190a09a563f1fa522f6 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152586ca08190854463dfdd1f727c |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d153f868f081909fceb511788ce17f |
completed | April 4, 2026, 6:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d154567f408190a848eea4ca905fb6 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 7:20 p.m.