Triple
T15534574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosmos |
E370308
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jae Kwon
Jae Kwon is a software engineer and entrepreneur best known as the co-founder and original architect of the Cosmos blockchain ecosystem.
|
E1162436
|
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: Jae Kwon | Statement: [Cosmos, foundedBy, Jae Kwon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jae Kwon Context triple: [Cosmos, foundedBy, Jae Kwon]
-
A.
Taewan Kwan
Taewan Kwan is a stage actor known for playing the character Lady Thiang in theatrical productions of "The King and I."
-
B.
Jung Kim
Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
-
C.
Peter Sohn
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
D.
Il-woo Jung
Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
E.
Lee Tae-hun
Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
- 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: Jae Kwon Triple: [Cosmos, foundedBy, Jae Kwon]
Generated description
Jae Kwon is a software engineer and entrepreneur best known as the co-founder and original architect of the Cosmos blockchain ecosystem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jae Kwon Target entity description: Jae Kwon is a software engineer and entrepreneur best known as the co-founder and original architect of the Cosmos blockchain ecosystem.
-
A.
Taewan Kwan
Taewan Kwan is a stage actor known for playing the character Lady Thiang in theatrical productions of "The King and I."
-
B.
Jung Kim
Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
-
C.
Peter Sohn
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
D.
Il-woo Jung
Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
E.
Lee Tae-hun
Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d605b908190a18c63142c8bb854 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3f59213c8190a9c98350225b5151 |
completed | May 9, 2026, 2:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3ff96a6c8190a4c9f20dabc86cef |
completed | May 9, 2026, 2:08 p.m. |
Created at: April 10, 2026, 4:06 a.m.