Triple
T9155871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Weidong |
E219704
|
entity |
| Predicate | rank |
P268
|
FINISHED |
| Object |
shang jiang
Shang jiang is the highest active-duty general officer rank in the People's Liberation Army of China, equivalent to a full general.
|
E782008
|
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: shang jiang | Statement: [He Weidong, rank, shang jiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: shang jiang Context triple: [He Weidong, rank, shang jiang]
-
A.
Songhuajiang
Songhuajiang is the pinyin romanized name of the Songhua River, a major river in northeastern China that flows through Heilongjiang and Jilin provinces.
-
B.
Qianjiang
Qianjiang is a city in China known for its regional industry and cultural exchanges, including international town twinning partnerships.
-
C.
Jiang
Jiang is the modern standard pinyin romanization of a common Chinese surname historically spelled as "Chiang" in older romanization systems.
-
D.
Jingjiang River
Jingjiang River is a historically significant, highly sinuous section of the Yangtze River in central China, known for its sharp bends and extensive river-training works.
-
E.
Jinhai
Jinhai is one of the co-pilots of the Jaeger Guardian Bravo in the Pacific Rim universe.
- 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: shang jiang Triple: [He Weidong, rank, shang jiang]
Generated description
Shang jiang is the highest active-duty general officer rank in the People's Liberation Army of China, equivalent to a full general.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: shang jiang Target entity description: Shang jiang is the highest active-duty general officer rank in the People's Liberation Army of China, equivalent to a full general.
-
A.
Songhuajiang
Songhuajiang is the pinyin romanized name of the Songhua River, a major river in northeastern China that flows through Heilongjiang and Jilin provinces.
-
B.
Qianjiang
Qianjiang is a city in China known for its regional industry and cultural exchanges, including international town twinning partnerships.
-
C.
Jiang
Jiang is the modern standard pinyin romanization of a common Chinese surname historically spelled as "Chiang" in older romanization systems.
-
D.
Jingjiang River
Jingjiang River is a historically significant, highly sinuous section of the Yangtze River in central China, known for its sharp bends and extensive river-training works.
-
E.
Jinhai
Jinhai is one of the co-pilots of the Jaeger Guardian Bravo in the Pacific Rim universe.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d274bc8190b734a814e253d18a |
completed | April 1, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054620fbc8190b20afa6922605685 |
completed | April 3, 2026, 11:59 p.m. |
| NEDg | Description generation | batch_69d055291054819088fa0d2e424b54bd |
completed | April 4, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0564391cc81909c0cea2d49c38fb4 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:21 p.m.