Triple
T12243135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangdi |
E291783
|
entity |
| Predicate | hasConsortTitle |
P50009
|
FINISHED |
| Object |
Huangguifei
Huangguifei is a high-ranking imperial consort title in ancient China, associated with the legendary Yellow Emperor, Huangdi.
|
E979266
|
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: Huangguifei | Statement: [Huangdi, hasConsortTitle, Huangguifei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huangguifei Context triple: [Huangdi, hasConsortTitle, Huangguifei]
-
A.
Hui Fei
Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
-
B.
Xie Fei
Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
-
C.
Tang Fei
Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
-
D.
Xue Fei
Xue Fei is a person notable for bearing the Chinese surname Xue.
-
E.
Feng Qingfeng
Feng Qingfeng is a Chinese automotive executive known for leading and overseeing strategic direction at the British sports car manufacturer Lotus Cars.
- 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: Huangguifei Triple: [Huangdi, hasConsortTitle, Huangguifei]
Generated description
Huangguifei is a high-ranking imperial consort title in ancient China, associated with the legendary Yellow Emperor, Huangdi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huangguifei Target entity description: Huangguifei is a high-ranking imperial consort title in ancient China, associated with the legendary Yellow Emperor, Huangdi.
-
A.
Hui Fei
Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
-
B.
Xie Fei
Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
-
C.
Tang Fei
Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
-
D.
Xue Fei
Xue Fei is a person notable for bearing the Chinese surname Xue.
-
E.
Feng Qingfeng
Feng Qingfeng is a Chinese automotive executive known for leading and overseeing strategic direction at the British sports car manufacturer Lotus Cars.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93ed7251c8190b94d7cd75ad49b9c |
completed | April 10, 2026, 6:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9057408190a25f44d773b2b178 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62ef1cc4481909bc9fc768a9ef1f2 |
completed | May 2, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62f808b1481908f529decdbfc5be6 |
completed | May 2, 2026, 5:08 p.m. |
Created at: April 8, 2026, 9:51 p.m.