Triple
T23419284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuli Edelmann |
E560602
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Eeva-Kaarina Volanen
Eeva-Kaarina Volanen was a Finnish actress known for her work in theatre, film, and television during the mid-20th century.
|
E1585358
|
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: Eeva-Kaarina Volanen | Statement: [Samuli Edelmann, parent, Eeva-Kaarina Volanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eeva-Kaarina Volanen Context triple: [Samuli Edelmann, parent, Eeva-Kaarina Volanen]
-
A.
Kari Väänänen
Kari Väänänen is a Finnish actor and director known for his work in both Finnish cinema and international films, including collaborations with acclaimed directors like Aki Kaurismäki.
-
B.
Mari Leppänen
Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
-
C.
Johanna Luukkonen
Johanna Luukkonen is a Finnish public administrator who has served as the municipal manager of the town of Laitila in Southwest Finland.
-
D.
Aino Kallio
Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
-
E.
Päivi Vänskä
Päivi Vänskä is known as the former spouse of Finnish conductor Osmo Vänskä.
- 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: Eeva-Kaarina Volanen Triple: [Samuli Edelmann, parent, Eeva-Kaarina Volanen]
Generated description
Eeva-Kaarina Volanen was a Finnish actress known for her work in theatre, film, and television during the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eeva-Kaarina Volanen Target entity description: Eeva-Kaarina Volanen was a Finnish actress known for her work in theatre, film, and television during the mid-20th century.
-
A.
Kari Väänänen
Kari Väänänen is a Finnish actor and director known for his work in both Finnish cinema and international films, including collaborations with acclaimed directors like Aki Kaurismäki.
-
B.
Mari Leppänen
Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
-
C.
Johanna Luukkonen
Johanna Luukkonen is a Finnish public administrator who has served as the municipal manager of the town of Laitila in Southwest Finland.
-
D.
Aino Kallio
Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
-
E.
Päivi Vänskä
Päivi Vänskä is known as the former spouse of Finnish conductor Osmo Vänskä.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54489d48190b2b2c29701851765 |
completed | April 29, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67a145e88190a59c10b20d3395f9 |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c72156130819082e1d07262e144ca |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76c54ba08190be8f46bacb22b6a3 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:44 p.m.