Triple
T10824314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapio |
E255454
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object |
Tapio Laukkanen
Tapio Laukkanen is a Finnish former rally driver who competed in national and international events during the 1990s and early 2000s.
|
E922560
|
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 Laukkanen | Statement: [Tapio, isGivenNameOf, Tapio Laukkanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapio Laukkanen Context triple: [Tapio, isGivenNameOf, Tapio Laukkanen]
-
A.
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.
-
B.
Tapio Pulkkanen
Tapio Pulkkanen is a Finnish professional golfer known for competing on the European Tour.
-
C.
Tapio Kuula
Tapio Kuula was a Finnish composer of the early 20th century, known for his lyrical orchestral and vocal works influenced by Finnish folk music and nationalism.
-
D.
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.
-
E.
Jukka Jalonen
Jukka Jalonen is a highly successful Finnish ice hockey coach best known for leading Finland’s national team to multiple World Championship and Olympic medals.
- 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 Laukkanen Triple: [Tapio, isGivenNameOf, Tapio Laukkanen]
Generated description
Tapio Laukkanen is a Finnish former rally driver who competed in national and international events during the 1990s and early 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tapio Laukkanen Target entity description: Tapio Laukkanen is a Finnish former rally driver who competed in national and international events during the 1990s and early 2000s.
-
A.
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.
-
B.
Tapio Pulkkanen
Tapio Pulkkanen is a Finnish professional golfer known for competing on the European Tour.
-
C.
Tapio Kuula
Tapio Kuula was a Finnish composer of the early 20th century, known for his lyrical orchestral and vocal works influenced by Finnish folk music and nationalism.
-
D.
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.
-
E.
Jukka Jalonen
Jukka Jalonen is a highly successful Finnish ice hockey coach best known for leading Finland’s national team to multiple World Championship and Olympic medals.
- 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_69e58a8c67248190be284ddd84f9d8b8 |
completed | April 20, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
Created at: April 8, 2026, 9:19 p.m.