Triple
T2417541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hämeenlinna |
E52339
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Anne Leppälä-Nilsson
Anne Leppälä-Nilsson is a Finnish politician who has served as the mayor of the city of Hämeenlinna.
|
E270731
|
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: Anne Leppälä-Nilsson | Statement: [Hämeenlinna, mayor, Anne Leppälä-Nilsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Leppälä-Nilsson Context triple: [Hämeenlinna, mayor, Anne Leppälä-Nilsson]
-
A.
Ulla-Britt Söderlund
Ulla-Britt Söderlund was a Swedish costume designer best known for her work on historically detailed and influential films of the 1960s and 1970s, including the Oscar-winning costumes for "Barry Lyndon."
-
B.
Signe Relander
Signe Relander was the wife of Lauri Kristian Relander, the second President of Finland, and served as the country's First Lady during his presidency.
-
C.
Aino Kallio
Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
-
D.
Fanny Lönnbohm
Fanny Lönnbohm was the wife of renowned Finnish poet and journalist Eino Leino.
-
E.
Annette Ekblom
Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
- 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: Anne Leppälä-Nilsson Triple: [Hämeenlinna, mayor, Anne Leppälä-Nilsson]
Generated description
Anne Leppälä-Nilsson is a Finnish politician who has served as the mayor of the city of Hämeenlinna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Leppälä-Nilsson Target entity description: Anne Leppälä-Nilsson is a Finnish politician who has served as the mayor of the city of Hämeenlinna.
-
A.
Ulla-Britt Söderlund
Ulla-Britt Söderlund was a Swedish costume designer best known for her work on historically detailed and influential films of the 1960s and 1970s, including the Oscar-winning costumes for "Barry Lyndon."
-
B.
Signe Relander
Signe Relander was the wife of Lauri Kristian Relander, the second President of Finland, and served as the country's First Lady during his presidency.
-
C.
Aino Kallio
Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
-
D.
Fanny Lönnbohm
Fanny Lönnbohm was the wife of renowned Finnish poet and journalist Eino Leino.
-
E.
Annette Ekblom
Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94eafd481909eeff689e5bf5960 |
completed | March 7, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af177ff6508190b549227f4cfd9876 |
completed | March 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69af1aad7cf48190923ca22477614758 |
completed | March 9, 2026, 7:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1afeb07c8190a03b419d01a6ba8c |
completed | March 9, 2026, 7:09 p.m. |
Created at: March 6, 2026, 9:42 p.m.