Triple
T7170301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SHI International Corp. |
E167176
|
entity |
| Predicate | hasOwner |
P347
|
FINISHED |
| Object | Koguan Leo |
E646869
|
NE FINISHED |
How this triple was built (2 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: Koguan Leo | Statement: [SHI International Corp., hasOwner, Koguan Leo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koguan Leo Context triple: [SHI International Corp., hasOwner, Koguan Leo]
-
A.
Koguan Leo
chosen
Koguan Leo is a Chinese-American billionaire entrepreneur, investor, and philanthropist best known as the co-founder of SHI International and a major individual shareholder of Tesla.
-
B.
Kengo Kora
Kengo Kora is a Japanese actor known for his roles in contemporary Japanese cinema and television dramas.
-
C.
Kuo
Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
-
D.
Nieri Ko
Nieri Ko is a tributary stream that feeds into the Gambia River in West Africa.
-
E.
Koichi
Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85d8f208190915f6f4c05988b63 |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf8766508190945a96f9536135ef |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:48 p.m.