Triple
T5233049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhu Xi |
E118154
|
entity |
| Predicate | courtesyName |
P570
|
FINISHED |
| Object |
Yuanhui
Yuanhui is the courtesy name of Zhu Xi, the influential 12th-century Neo-Confucian philosopher and scholar of the Southern Song dynasty.
|
E504983
|
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: Yuanhui | Statement: [Zhu Xi, courtesyName, Yuanhui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuanhui Context triple: [Zhu Xi, courtesyName, Yuanhui]
-
A.
Ma Wan
Ma Wan is a small island in Hong Kong known for its residential developments, historic fishing village, and attractions like Noah’s Ark near the Tsing Ma Bridge.
-
B.
Nanhai
Nanhai is an alternative name for Nanhai Lake, a notable body of water often associated with scenic and cultural significance in its region.
-
C.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
D.
Kwang-Chou-Wan
Kwang-Chou-Wan was a small leased territory in southern China that served as a French colonial enclave administered as part of French Indochina in the late 19th and early 20th centuries.
-
E.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
- 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: Yuanhui Triple: [Zhu Xi, courtesyName, Yuanhui]
Generated description
Yuanhui is the courtesy name of Zhu Xi, the influential 12th-century Neo-Confucian philosopher and scholar of the Southern Song dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuanhui Target entity description: Yuanhui is the courtesy name of Zhu Xi, the influential 12th-century Neo-Confucian philosopher and scholar of the Southern Song dynasty.
-
A.
Ma Wan
Ma Wan is a small island in Hong Kong known for its residential developments, historic fishing village, and attractions like Noah’s Ark near the Tsing Ma Bridge.
-
B.
Nanhai
Nanhai is an alternative name for Nanhai Lake, a notable body of water often associated with scenic and cultural significance in its region.
-
C.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
D.
Kwang-Chou-Wan
Kwang-Chou-Wan was a small leased territory in southern China that served as a French colonial enclave administered as part of French Indochina in the late 19th and early 20th centuries.
-
E.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8154940819098ed76e14804f4b3 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef8bfcd1c819090b81f8ebb097c5b |
completed | March 21, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef95e7ce48190a1ec2fc27ce37d00 |
completed | March 21, 2026, 8:02 p.m. |
Created at: March 20, 2026, 1:49 p.m.