Triple
T17344500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okko Kamu |
E421647
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Okko
Okko is a Finnish conductor and violinist best known for his work with major Scandinavian and European orchestras.
|
E1262344
|
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: Okko | Statement: [Okko Kamu, givenName, Okko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okko Context triple: [Okko Kamu, givenName, Okko]
-
A.
Osko
Osko is an Australian real-time payment service that enables fast, secure, and data-rich bank transfers between participating financial institutions.
-
B.
Ekin Oklap
Ekin Oklap is a literary translator known for translating contemporary Turkish literature, including works by Nobel laureate Orhan Pamuk, into English.
-
C.
OKO
OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
-
D.
Gacko
Gacko is a small town and municipality in southeastern Bosnia and Herzegovina, known for its coal-fired power plant and surrounding mountainous landscape.
-
E.
Okoto
Okoto is one of Bulgaria’s glacial Seven Rila Lakes, known for its deep, eye-shaped basin set high in the Rila Mountains.
- 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: Okko Triple: [Okko Kamu, givenName, Okko]
Generated description
Okko is a Finnish conductor and violinist best known for his work with major Scandinavian and European orchestras.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okko Target entity description: Okko is a Finnish conductor and violinist best known for his work with major Scandinavian and European orchestras.
-
A.
Osko
Osko is an Australian real-time payment service that enables fast, secure, and data-rich bank transfers between participating financial institutions.
-
B.
Ekin Oklap
Ekin Oklap is a literary translator known for translating contemporary Turkish literature, including works by Nobel laureate Orhan Pamuk, into English.
-
C.
OKO
OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
-
D.
Gacko
Gacko is a small town and municipality in southeastern Bosnia and Herzegovina, known for its coal-fired power plant and surrounding mountainous landscape.
-
E.
Okoto
Okoto is one of Bulgaria’s glacial Seven Rila Lakes, known for its deep, eye-shaped basin set high in the Rila Mountains.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a27a350819086faf12e6bf9f0e2 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5be49c8190b27a4fe1df8e8ab6 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018ce8c6b481909c6c1a82364cbd90 |
completed | May 11, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018d7ad50881908f80152db524f0af |
completed | May 11, 2026, 8:04 a.m. |
Created at: April 10, 2026, 5:44 a.m.