Triple
T4848664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 高錕 |
E108355
|
entity |
| Predicate | positionHeld |
P8
|
FINISHED |
| Object |
香港中文大学工程学院创院院长
香港中文大学工程学院创院院长是由“光纤之父”高锟出任、负责创建并领导香港中文大学工程学院的首任院长职务。
|
E473521
|
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: 香港中文大学工程学院创院院长 | Statement: [高錕, positionHeld, 香港中文大学工程学院创院院长]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 香港中文大学工程学院创院院长 Context triple: [高錕, positionHeld, 香港中文大学工程学院创院院长]
-
A.
Hong Kong University of Science and Technology
Hong Kong University of Science and Technology is a leading public research university in Hong Kong known for its strengths in science, engineering, business, and technology innovation.
-
B.
南方科技大学
南方科技大学是一所位于中国广东省深圳市、以理工科为主并致力于科研创新和国际化办学的新兴研究型大学。
-
C.
T.H. Chan
T.H. Chan was a Hong Kong real estate developer and philanthropist whose family’s major donation led to Harvard’s public health school bearing his name.
-
D.
Chen Yongren
Chen Yongren is the undercover police officer protagonist of the Hong Kong crime thriller "Infernal Affairs," whose character later inspired Billy Costigan in the American remake "The Departed."
-
E.
Zhu Guangya
Zhu Guangya was a prominent Chinese nuclear physicist and key architect of China’s nuclear weapons and energy programs.
- 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: 香港中文大学工程学院创院院长 Triple: [高錕, positionHeld, 香港中文大学工程学院创院院长]
Generated description
香港中文大学工程学院创院院长是由“光纤之父”高锟出任、负责创建并领导香港中文大学工程学院的首任院长职务。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 香港中文大学工程学院创院院长 Target entity description: 香港中文大学工程学院创院院长是由“光纤之父”高锟出任、负责创建并领导香港中文大学工程学院的首任院长职务。
-
A.
Hong Kong University of Science and Technology
Hong Kong University of Science and Technology is a leading public research university in Hong Kong known for its strengths in science, engineering, business, and technology innovation.
-
B.
南方科技大学
南方科技大学是一所位于中国广东省深圳市、以理工科为主并致力于科研创新和国际化办学的新兴研究型大学。
-
C.
T.H. Chan
T.H. Chan was a Hong Kong real estate developer and philanthropist whose family’s major donation led to Harvard’s public health school bearing his name.
-
D.
Chen Yongren
Chen Yongren is the undercover police officer protagonist of the Hong Kong crime thriller "Infernal Affairs," whose character later inspired Billy Costigan in the American remake "The Departed."
-
E.
Zhu Guangya
Zhu Guangya was a prominent Chinese nuclear physicist and key architect of China’s nuclear weapons and energy programs.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d1c5594819094fe021d7717032d |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cdafb3481908594ae883c6e9872 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5d4f2f908190b305996875f1f956 |
completed | March 21, 2026, 8:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5dcbb58c8190bbcf75c570720ad6 |
completed | March 21, 2026, 8:58 a.m. |
Created at: March 20, 2026, 1:25 p.m.