Triple
T11674672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Army |
E277461
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Xinjian Lujun
Xinjian Lujun was a modernized military force of late imperial China that played a key role in attempts to reform and strengthen the Qing dynasty’s army.
|
E944107
|
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: Xinjian Lujun | Statement: [New Army, alsoKnownAs, Xinjian Lujun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xinjian Lujun Context triple: [New Army, alsoKnownAs, Xinjian Lujun]
-
A.
Liang Xinjun
Liang Xinjun is a Chinese entrepreneur best known as a co-founder and former executive of the diversified conglomerate Fosun Group.
-
B.
Luo Jin
Luo Jin is a Chinese actor known for his roles in popular television dramas and films.
-
C.
Zhang Jun
Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
-
D.
Zhu Jun
Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
-
E.
He Jiong
He Jiong is a prominent Chinese television host, singer, actor, and director best known for hosting the long-running variety show "Happy Camp."
- 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: Xinjian Lujun Triple: [New Army, alsoKnownAs, Xinjian Lujun]
Generated description
Xinjian Lujun was a modernized military force of late imperial China that played a key role in attempts to reform and strengthen the Qing dynasty’s army.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xinjian Lujun Target entity description: Xinjian Lujun was a modernized military force of late imperial China that played a key role in attempts to reform and strengthen the Qing dynasty’s army.
-
A.
Liang Xinjun
Liang Xinjun is a Chinese entrepreneur best known as a co-founder and former executive of the diversified conglomerate Fosun Group.
-
B.
Luo Jin
Luo Jin is a Chinese actor known for his roles in popular television dramas and films.
-
C.
Zhang Jun
Zhang Jun is a Chinese jurist and senior official who serves as the President and Chief Justice of the Supreme People's Court of China.
-
D.
Zhu Jun
Zhu Jun was a prominent late Eastern Han dynasty general and official known for his role in suppressing major uprisings and helping to stabilize imperial authority.
-
E.
He Jiong
He Jiong is a prominent Chinese television host, singer, actor, and director best known for hosting the long-running variety show "Happy Camp."
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44504c48190b519765a83ff9c5e |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0192f790c8190a99d512b6f5c15aa |
completed | April 28, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_69f01d7ab930819095eaae226ab55b80 |
completed | April 28, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f043ddbfe481908e0c439dbd3e944f |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 8, 2026, 9:40 p.m.