Triple
T17116362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhu Houxi |
E415348
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Houxi
Houxi is the given name of Zhu Houxi, a Chinese individual identifiable by this personal name.
|
E1251986
|
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: Houxi | Statement: [Zhu Houxi, givenName, Houxi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houxi Context triple: [Zhu Houxi, givenName, Houxi]
-
A.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
-
B.
Xinle
Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
-
C.
Hongxi
Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
-
D.
Xin'an
Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
-
E.
Guisui
Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
- 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: Houxi Triple: [Zhu Houxi, givenName, Houxi]
Generated description
Houxi is the given name of Zhu Houxi, a Chinese individual identifiable by this personal name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Houxi Target entity description: Houxi is the given name of Zhu Houxi, a Chinese individual identifiable by this personal name.
-
A.
Houhai
Houhai is a coastal area in Shenzhen, China, known for its modern waterfront developments, shopping centers, and vibrant nightlife.
-
B.
Xinle
Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
-
C.
Hongxi
Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
-
D.
Xin'an
Xin'an is the historical name of the region now known as Huizhou in Guangdong, China, reflecting its earlier administrative and cultural identity.
-
E.
Guisui
Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80660048190832d8f91415dd7d7 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014145f7988190803d5c5e4f2705b0 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a0141f8f8248190b239488fa1c4f0cb |
completed | May 11, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01424e4cd881908e6ee726164c55f5 |
completed | May 11, 2026, 2:43 a.m. |
Created at: April 10, 2026, 5:35 a.m.