Triple
T13286872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XV Olympiad |
E316466
|
entity |
| Predicate | olympicOathBy |
P9420
|
FINISHED |
| Object |
Heikki Savolainen
Heikki Savolainen was a Finnish artistic gymnast and multiple Olympic medalist who became one of Finland’s most successful early 20th-century gymnasts.
|
E1037480
|
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: Heikki Savolainen | Statement: [XV Olympiad, olympicOathBy, Heikki Savolainen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heikki Savolainen Context triple: [XV Olympiad, olympicOathBy, Heikki Savolainen]
-
A.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
B.
Pertti Paasio
Pertti Paasio was a Finnish Social Democratic politician who served as party leader and held several prominent parliamentary and ministerial roles in Finland.
-
C.
Matti Saari
Matti Saari is a Finnish official who served as the governor of the former Western Finland Province.
-
D.
Ahti Heinla
Ahti Heinla is an Estonian computer programmer and entrepreneur best known as a co-founder of Skype and the robotics company Starship Technologies.
-
E.
Paavo Aaltonen
Paavo Aaltonen was a Finnish artistic gymnast and three-time Olympic gold medalist, best known for his success at the 1948 London Games.
- 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: Heikki Savolainen Triple: [XV Olympiad, olympicOathBy, Heikki Savolainen]
Generated description
Heikki Savolainen was a Finnish artistic gymnast and multiple Olympic medalist who became one of Finland’s most successful early 20th-century gymnasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heikki Savolainen Target entity description: Heikki Savolainen was a Finnish artistic gymnast and multiple Olympic medalist who became one of Finland’s most successful early 20th-century gymnasts.
-
A.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
B.
Pertti Paasio
Pertti Paasio was a Finnish Social Democratic politician who served as party leader and held several prominent parliamentary and ministerial roles in Finland.
-
C.
Matti Saari
Matti Saari is a Finnish official who served as the governor of the former Western Finland Province.
-
D.
Ahti Heinla
Ahti Heinla is an Estonian computer programmer and entrepreneur best known as a co-founder of Skype and the robotics company Starship Technologies.
-
E.
Paavo Aaltonen
Paavo Aaltonen was a Finnish artistic gymnast and three-time Olympic gold medalist, best known for his success at the 1948 London Games.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990759ebc8190a9487a59e37a69e2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266832a881909403c4d3cbe1edec |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:27 p.m.