Triple
T19906544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chien |
E478432
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Chien Hsin
Chien Hsin is a notable individual bearing the surname Chien, recognized for achievements that distinguish them among others with the same family name.
|
E1404179
|
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: Chien Hsin | Statement: [Chien, hasNotableBearer, Chien Hsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chien Hsin Context triple: [Chien, hasNotableBearer, Chien Hsin]
-
A.
Yuan Tseh
Yuan Tseh is a Taiwanese chemist and Nobel laureate renowned for his pioneering work in chemical reaction dynamics.
-
B.
Chiang Sheng
Chiang Sheng was a Taiwanese martial arts actor best known as a member of the Venom Mob in classic Shaw Brothers kung fu films.
-
C.
Chao Chunghsiung
Chao Chunghsiung is an individual whose family name is Chao, likely of Chinese or Taiwanese origin.
-
D.
Chien-Po
Chien-Po is a gentle, large, and good-natured warrior from Disney’s Mulan series, known for his calm demeanor and physical strength.
-
E.
Ke Chieh
Ke Chieh is the Taiwanese romanization of Ke Jie, the Chinese professional Go player renowned for being one of the world's strongest and for his high-profile matches against AI programs like AlphaGo.
- 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: Chien Hsin Triple: [Chien, hasNotableBearer, Chien Hsin]
Generated description
Chien Hsin is a notable individual bearing the surname Chien, recognized for achievements that distinguish them among others with the same family name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chien Hsin Target entity description: Chien Hsin is a notable individual bearing the surname Chien, recognized for achievements that distinguish them among others with the same family name.
-
A.
Yuan Tseh
Yuan Tseh is a Taiwanese chemist and Nobel laureate renowned for his pioneering work in chemical reaction dynamics.
-
B.
Chiang Sheng
Chiang Sheng was a Taiwanese martial arts actor best known as a member of the Venom Mob in classic Shaw Brothers kung fu films.
-
C.
Chao Chunghsiung
Chao Chunghsiung is an individual whose family name is Chao, likely of Chinese or Taiwanese origin.
-
D.
Chien-Po
Chien-Po is a gentle, large, and good-natured warrior from Disney’s Mulan series, known for his calm demeanor and physical strength.
-
E.
Ke Chieh
Ke Chieh is the Taiwanese romanization of Ke Jie, the Chinese professional Go player renowned for being one of the world's strongest and for his high-profile matches against AI programs like AlphaGo.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65946916881909c3f52208c07aa64 |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdbe13388190a0cc8dd66e3593aa |
completed | May 16, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_6a07feb28eec81908a8e33a706cf9d9b |
completed | May 16, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff2e34608190a27995f6400c153a |
completed | May 16, 2026, 5:22 a.m. |
Created at: April 10, 2026, 1:52 p.m.