Triple
T10824322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapio |
E255454
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object |
Tapio Varis
Tapio Varis is a Finnish academic and media education scholar known for his work on global education, digital media, and communication.
|
E933025
|
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: Tapio Varis | Statement: [Tapio, isGivenNameOf, Tapio Varis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapio Varis Context triple: [Tapio, isGivenNameOf, Tapio Varis]
-
A.
Matti Vanhanen
Matti Vanhanen is a Finnish politician who served as Prime Minister of Finland and a long-time leader within the Centre Party.
-
B.
Tapio Lehtinen
Tapio Lehtinen is a Finnish sailor best known for competing in events such as the Golden Globe Race and for his long career in offshore and ocean racing.
-
C.
Kasimir Leino
Kasimir Leino was a Finnish writer, critic, and theatre director active in the late 19th and early 20th centuries.
-
D.
Tapio Kantanen
Tapio Kantanen is a Finnish former steeplechase runner who won a bronze medal in the 3000 m steeplechase at the 1972 Munich Olympics.
-
E.
Tapio Pessi
Tapio Pessi is an individual whose given name is Tapio, a Finnish male name of mythological origin.
- 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: Tapio Varis Triple: [Tapio, isGivenNameOf, Tapio Varis]
Generated description
Tapio Varis is a Finnish academic and media education scholar known for his work on global education, digital media, and communication.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tapio Varis Target entity description: Tapio Varis is a Finnish academic and media education scholar known for his work on global education, digital media, and communication.
-
A.
Matti Vanhanen
Matti Vanhanen is a Finnish politician who served as Prime Minister of Finland and a long-time leader within the Centre Party.
-
B.
Tapio Lehtinen
Tapio Lehtinen is a Finnish sailor best known for competing in events such as the Golden Globe Race and for his long career in offshore and ocean racing.
-
C.
Kasimir Leino
Kasimir Leino was a Finnish writer, critic, and theatre director active in the late 19th and early 20th centuries.
-
D.
Tapio Kantanen
Tapio Kantanen is a Finnish former steeplechase runner who won a bronze medal in the 3000 m steeplechase at the 1972 Munich Olympics.
-
E.
Tapio Pessi
Tapio Pessi is an individual whose given name is Tapio, a Finnish male name of mythological origin.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734cf7918819094d36ea208c80d12 |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e6968aec8190a9d1e51ac7e87853 |
completed | April 21, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69e6ec59994c8190b1de0bec84324fa1 |
completed | April 21, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f8ec88e88190bfa21c2d06d67bd8 |
completed | April 21, 2026, 4:11 a.m. |
Created at: April 8, 2026, 9:19 p.m.