Triple
T10824317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapio |
E255454
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object |
Tapio Mäkelä
Tapio Mäkelä is a Finnish cross-country skier who competed in the 1950s and won a gold medal in the 4 × 10 km relay at the 1952 Winter Olympics.
|
E926863
|
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 Mäkelä | Statement: [Tapio, isGivenNameOf, Tapio Mäkelä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapio Mäkelä Context triple: [Tapio, isGivenNameOf, Tapio Mäkelä]
-
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 Laukkanen
Tapio Laukkanen is a Finnish former rally driver who competed in national and international events during the 1990s and early 2000s.
-
C.
Tapio Hovinen
Tapio Hovinen is a Finnish individual whose given name is Tapio.
-
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.
Tapio Kangasniemi
Tapio Kangasniemi is a person whose given name is Tapio, likely of Finnish 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 Mäkelä Triple: [Tapio, isGivenNameOf, Tapio Mäkelä]
Generated description
Tapio Mäkelä is a Finnish cross-country skier who competed in the 1950s and won a gold medal in the 4 × 10 km relay at the 1952 Winter Olympics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tapio Mäkelä Target entity description: Tapio Mäkelä is a Finnish cross-country skier who competed in the 1950s and won a gold medal in the 4 × 10 km relay at the 1952 Winter Olympics.
-
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 Laukkanen
Tapio Laukkanen is a Finnish former rally driver who competed in national and international events during the 1990s and early 2000s.
-
C.
Tapio Hovinen
Tapio Hovinen is a Finnish individual whose given name is Tapio.
-
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.
Tapio Kangasniemi
Tapio Kangasniemi is a person whose given name is Tapio, likely of Finnish 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_69e5e877c6188190817fb30f2c9a07bf |
completed | April 20, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:19 p.m.