Triple
T13483114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Liejun |
E318421
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Liejun
Liejun is a Chinese given name that can be borne by various individuals, including historical and contemporary figures.
|
E1042001
|
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: Liejun | Statement: [Li Liejun, givenName, Liejun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liejun Context triple: [Li Liejun, givenName, Liejun]
-
A.
Jintao
Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
-
B.
Lingang
Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
-
C.
Jiyuan
Jiyuan is a county-level city in Henan Province, China, known for its proximity to the scenic and historically significant Mount Wangwu.
-
D.
Jiyuan
Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
-
E.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
- 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: Liejun Triple: [Li Liejun, givenName, Liejun]
Generated description
Liejun is a Chinese given name that can be borne by various individuals, including historical and contemporary figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liejun Target entity description: Liejun is a Chinese given name that can be borne by various individuals, including historical and contemporary figures.
-
A.
Jintao
Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
-
B.
Lingang
Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
-
C.
Jiyuan
Jiyuan is a county-level city in Henan Province, China, known for its proximity to the scenic and historically significant Mount Wangwu.
-
D.
Jiyuan
Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
-
E.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74bac36e081909dae786e14883e3c |
completed | May 3, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74c5195188190bad111b301713426 |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 9, 2026, 9:42 p.m.