Triple
T12777503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gao Xianzhi |
E305414
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
Li Siye (in some commands)
Li Siye was a prominent Tang dynasty military general known for his role in frontier campaigns, particularly in Central Asia.
|
E1002449
|
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: Li Siye (in some commands) | Statement: [Gao Xianzhi, successor, Li Siye (in some commands)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Siye (in some commands) Context triple: [Gao Xianzhi, successor, Li Siye (in some commands)]
-
A.
Liang
Liang is a common Chinese surname borne by numerous historical figures, scholars, and public personalities across the Chinese-speaking world.
-
B.
Jie
Jie is the given name of Ke Jie, a prominent Chinese professional Go player and former world champion.
-
C.
Jianying
Jianying is the given name of Ye Jianying, a prominent Chinese Communist military leader and one of the founding marshals of the People's Republic of China.
-
D.
Xue Jiye
Xue Jiye is a notable individual who bears the Chinese surname Xue, recognized as one of its distinguished carriers.
-
E.
Lishu
Lishu is an ancient Chinese clerical script that emerged during the Qin and Han dynasties, marking a key transition from earlier seal scripts to more regular, standardized writing forms.
- 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: Li Siye (in some commands) Triple: [Gao Xianzhi, successor, Li Siye (in some commands)]
Generated description
Li Siye was a prominent Tang dynasty military general known for his role in frontier campaigns, particularly in Central Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Li Siye (in some commands) Target entity description: Li Siye was a prominent Tang dynasty military general known for his role in frontier campaigns, particularly in Central Asia.
-
A.
Liang
Liang is a common Chinese surname borne by numerous historical figures, scholars, and public personalities across the Chinese-speaking world.
-
B.
Jie
Jie is the given name of Ke Jie, a prominent Chinese professional Go player and former world champion.
-
C.
Jianying
Jianying is the given name of Ye Jianying, a prominent Chinese Communist military leader and one of the founding marshals of the People's Republic of China.
-
D.
Xue Jiye
Xue Jiye is a notable individual who bears the Chinese surname Xue, recognized as one of its distinguished carriers.
-
E.
Lishu
Lishu is an ancient Chinese clerical script that emerged during the Qin and Han dynasties, marking a key transition from earlier seal scripts to more regular, standardized writing forms.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e595e008190b42dff3012d17d66 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685013e0481908db09302a2ced207 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f6873e6d548190a7bf25746e740c8a |
completed | May 2, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f689aea1048190b1425f289d1a611a |
completed | May 2, 2026, 11:33 p.m. |
Created at: April 9, 2026, 5:29 p.m.