Triple
T8006809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Quan |
E186382
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Quan
Quan is a given name most notably borne by Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
|
E349934
|
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: Quan | Statement: [Sun Quan, givenName, Quan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quan Context triple: [Sun Quan, givenName, Quan]
-
A.
Quan
Quan is the family name of Ke Huy Quan, the Vietnamese-American actor known for roles in films like "Indiana Jones and the Temple of Doom" and "Everything Everywhere All at Once."
-
B.
Quan Am
Quan Am is the Vietnamese name for the bodhisattva of compassion, derived from the East Asian Buddhist deity Guanyin.
-
C.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
D.
Kuo
Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
-
E.
Kang
Kang is a recurring alien character from the animated television series "The Simpsons," often appearing in satirical and Halloween-themed episodes alongside his companion Kodos.
- 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: Quan Triple: [Sun Quan, givenName, Quan]
Generated description
Quan is a given name most notably borne by Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quan Target entity description: Quan is a given name most notably borne by Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
-
A.
Quan
chosen
Quan is the family name of Ke Huy Quan, the Vietnamese-American actor known for roles in films like "Indiana Jones and the Temple of Doom" and "Everything Everywhere All at Once."
-
B.
Quan Am
Quan Am is the Vietnamese name for the bodhisattva of compassion, derived from the East Asian Buddhist deity Guanyin.
-
C.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
D.
Kuo
Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
-
E.
Kang
Kang is a recurring alien character from the animated television series "The Simpsons," often appearing in satirical and Halloween-themed episodes alongside his companion Kodos.
- F. None of above.
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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf8a6048190970685a83fd2f59d |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe12c068c8190a6ea7e924a7748c6 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe442999881909544802bb9a91cd5 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc09c676148190964d4947310ec16a |
completed | March 31, 2026, 5:52 p.m. |
Created at: March 30, 2026, 5:18 p.m.