Triple
T10824309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapio |
E255454
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object |
Tapio Korjus
Tapio Korjus is a Finnish former javelin thrower who won the gold medal at the 1988 Seoul Olympic Games.
|
E915792
|
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 Korjus | Statement: [Tapio, isGivenNameOf, Tapio Korjus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapio Korjus Context triple: [Tapio, isGivenNameOf, Tapio Korjus]
-
A.
Sakari Tuomioja
Sakari Tuomioja was a Finnish politician and diplomat who served as Prime Minister of Finland in the 1950s and later as Governor of the Bank of Finland.
-
B.
Timo Sarpaneva
Timo Sarpaneva was a renowned Finnish designer and glass artist celebrated for his innovative, modernist creations that helped define Scandinavian design in the 20th century.
-
C.
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.
-
D.
Timo Kivinen
Timo Kivinen is a Finnish general who has served as the Commander of the Finnish Defence Forces.
-
E.
Rainer Mahlamäki
Rainer Mahlamäki is a Finnish architect known for his contemporary public and cultural buildings, including major museum projects in Europe.
- 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 Korjus Triple: [Tapio, isGivenNameOf, Tapio Korjus]
Generated description
Tapio Korjus is a Finnish former javelin thrower who won the gold medal at the 1988 Seoul Olympic Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tapio Korjus Target entity description: Tapio Korjus is a Finnish former javelin thrower who won the gold medal at the 1988 Seoul Olympic Games.
-
A.
Sakari Tuomioja
Sakari Tuomioja was a Finnish politician and diplomat who served as Prime Minister of Finland in the 1950s and later as Governor of the Bank of Finland.
-
B.
Timo Sarpaneva
Timo Sarpaneva was a renowned Finnish designer and glass artist celebrated for his innovative, modernist creations that helped define Scandinavian design in the 20th century.
-
C.
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.
-
D.
Timo Kivinen
Timo Kivinen is a Finnish general who has served as the Commander of the Finnish Defence Forces.
-
E.
Rainer Mahlamäki
Rainer Mahlamäki is a Finnish architect known for his contemporary public and cultural buildings, including major museum projects in Europe.
- 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_69e4f34d1e108190ad281dae6c92634e |
completed | April 19, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: April 8, 2026, 9:19 p.m.