Triple
T7991035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hung Hsiu-chu |
E186005
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
|
E702882
|
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: Hsiu-chu | Statement: [Hung Hsiu-chu, givenName, Hsiu-chu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hsiu-chu Context triple: [Hung Hsiu-chu, givenName, Hsiu-chu]
-
A.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
B.
Nantou
Nantou is a historic subdistrict in Shenzhen’s Nanshan District, known as the site of the old county seat and a preserved ancient town area.
-
C.
Linkou District
Linkou District is a suburban district in northwestern New Taipei City, Taiwan, known for its rapid development, educational institutions, and growing technology and residential hubs.
-
D.
Xinyu
Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
-
E.
Guandu
Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
- 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: Hsiu-chu Triple: [Hung Hsiu-chu, givenName, Hsiu-chu]
Generated description
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hsiu-chu Target entity description: Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
A.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
B.
Nantou
Nantou is a historic subdistrict in Shenzhen’s Nanshan District, known as the site of the old county seat and a preserved ancient town area.
-
C.
Linkou District
Linkou District is a suburban district in northwestern New Taipei City, Taiwan, known for its rapid development, educational institutions, and growing technology and residential hubs.
-
D.
Xinyu
Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
-
E.
Guandu
Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c6fc19c8190b98023e257c2f4f2 |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0f5c22881908044a178d670684c |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43f883081908768a7314409b622 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34c6cf6881909b28a0b6882b518d |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:16 p.m.