Triple
T4215028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song Shilun |
E94193
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Shilun
Shilun is the given name of Song Shilun, a prominent Chinese military commander and general of the People’s Liberation Army.
|
E422037
|
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: Shilun | Statement: [Song Shilun, givenName, Shilun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shilun Context triple: [Song Shilun, givenName, Shilun]
-
A.
Yongcong
Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
-
B.
Hutuo River
The Hutuo River is a major river in northern China’s Hebei Province that flows through the city of Shijiazhuang and serves as an important regional water source.
-
C.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
D.
Sunzha River
The Sunzha River is a significant waterway in the North Caucasus that flows through Chechnya and neighboring regions, serving as an important tributary of the Terek River.
-
E.
Hanshui River
The Hanshui River is a major tributary of the Yangtze River in central China, flowing through Shaanxi and Hubei provinces and playing a key role in the region’s ecology, history, and transportation.
- 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: Shilun Triple: [Song Shilun, givenName, Shilun]
Generated description
Shilun is the given name of Song Shilun, a prominent Chinese military commander and general of the People’s Liberation Army.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shilun Target entity description: Shilun is the given name of Song Shilun, a prominent Chinese military commander and general of the People’s Liberation Army.
-
A.
Yongcong
Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
-
B.
Hutuo River
The Hutuo River is a major river in northern China’s Hebei Province that flows through the city of Shijiazhuang and serves as an important regional water source.
-
C.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
D.
Sunzha River
The Sunzha River is a significant waterway in the North Caucasus that flows through Chechnya and neighboring regions, serving as an important tributary of the Terek River.
-
E.
Hanshui River
The Hanshui River is a major tributary of the Yangtze River in central China, flowing through Shaanxi and Hubei provinces and playing a key role in the region’s ecology, history, and transportation.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34be8ba408190baee362e5abbe75b |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5963779d08190a95eb110361bf1f1 |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b597f5ec8481909408b6b49994bbe8 |
completed | March 14, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5985c8f6081909c479e89bc1ca449 |
completed | March 14, 2026, 5:18 p.m. |
Created at: March 12, 2026, 11:04 p.m.