Triple
T19839732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fu |
E476693
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Fu Hsiang
Fu Hsiang is a person notable for bearing the Chinese surname Fu, though specific widely known biographical details about them are not well documented.
|
E1399272
|
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: Fu Hsiang | Statement: [Fu, hasNotableBearer, Fu Hsiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fu Hsiang Context triple: [Fu, hasNotableBearer, Fu Hsiang]
-
A.
Teng Yu-hsien
Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
-
B.
Lin Yi-hsiung
Lin Yi-hsiung is a prominent Taiwanese democracy activist and politician known for his leadership in the island’s opposition movement against Kuomintang authoritarian rule.
-
C.
Teng Yu-hua
Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
-
D.
Kao Hsiao-yuan
Kao Hsiao-yuan is a notable individual who bears the Chinese surname Kao and is recognized for achievements significant enough to be distinctly recorded.
-
E.
Yung Hsu Hsiung
Yung Hsu Hsiung is a cinematographer best known for his work on the influential Hong Kong martial arts film "Drunken Master."
- 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: Fu Hsiang Triple: [Fu, hasNotableBearer, Fu Hsiang]
Generated description
Fu Hsiang is a person notable for bearing the Chinese surname Fu, though specific widely known biographical details about them are not well documented.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fu Hsiang Target entity description: Fu Hsiang is a person notable for bearing the Chinese surname Fu, though specific widely known biographical details about them are not well documented.
-
A.
Teng Yu-hsien
Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
-
B.
Lin Yi-hsiung
Lin Yi-hsiung is a prominent Taiwanese democracy activist and politician known for his leadership in the island’s opposition movement against Kuomintang authoritarian rule.
-
C.
Teng Yu-hua
Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
-
D.
Kao Hsiao-yuan
Kao Hsiao-yuan is a notable individual who bears the Chinese surname Kao and is recognized for achievements significant enough to be distinctly recorded.
-
E.
Yung Hsu Hsiung
Yung Hsu Hsiung is a cinematographer best known for his work on the influential Hong Kong martial arts film "Drunken Master."
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbb8f640819094226b0924bb362c |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc43a2fc8190991ae7acbe085876 |
completed | May 16, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dce4d44481909bc79b8e616ae743 |
completed | May 16, 2026, 2:56 a.m. |
Created at: April 10, 2026, 1:50 p.m.