Triple
T19331697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guo Jia |
E483511
|
entity |
| Predicate | courtesyName |
P570
|
FINISHED |
| Object |
Fengxiao
Fengxiao is the courtesy name of Guo Jia, a renowned strategist and adviser to the warlord Cao Cao during the late Eastern Han dynasty in China.
|
E1370256
|
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: Fengxiao | Statement: [Guo Jia, courtesyName, Fengxiao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fengxiao Context triple: [Guo Jia, courtesyName, Fengxiao]
-
A.
Chuanfang
Chuanfang is the given name of Sun Chuanfang, a prominent Chinese warlord and military leader during the Warlord Era of early 20th-century China.
-
B.
Foxiangge
Foxiangge is the Tower of Buddhist Incense, a prominent multi-story pavilion and iconic landmark within Beijing’s Summer Palace complex.
-
C.
Shenfeng
Shenfeng was a historical Chinese era name used during the reign of Sun Quan, ruler of Eastern Wu in the Three Kingdoms period.
-
D.
Fenghuang Xiang
Fenghuang Xiang is a regional variety of the Xiang Chinese language spoken in and around Fenghuang County in Hunan Province, China.
-
E.
Jingyu
Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
- 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: Fengxiao Triple: [Guo Jia, courtesyName, Fengxiao]
Generated description
Fengxiao is the courtesy name of Guo Jia, a renowned strategist and adviser to the warlord Cao Cao during the late Eastern Han dynasty in China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fengxiao Target entity description: Fengxiao is the courtesy name of Guo Jia, a renowned strategist and adviser to the warlord Cao Cao during the late Eastern Han dynasty in China.
-
A.
Chuanfang
Chuanfang is the given name of Sun Chuanfang, a prominent Chinese warlord and military leader during the Warlord Era of early 20th-century China.
-
B.
Foxiangge
Foxiangge is the Tower of Buddhist Incense, a prominent multi-story pavilion and iconic landmark within Beijing’s Summer Palace complex.
-
C.
Shenfeng
Shenfeng was a historical Chinese era name used during the reign of Sun Quan, ruler of Eastern Wu in the Three Kingdoms period.
-
D.
Fenghuang Xiang
Fenghuang Xiang is a regional variety of the Xiang Chinese language spoken in and around Fenghuang County in Hunan Province, China.
-
E.
Jingyu
Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616422fa08190bf4bde4312ec7cf3 |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071be08a008190be70c531241ecbf2 |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071cdb6ecc81908a00c82b8f80613f |
completed | May 15, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071d4dd0048190ad7561f76915a72f |
completed | May 15, 2026, 1:19 p.m. |
Created at: April 10, 2026, 1:33 p.m.