Triple
T3862610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Yi |
E90173
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Yi
Yi is a common Chinese given name shared by numerous historical and contemporary figures across politics, arts, and other fields.
|
E396159
|
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: Yi | Statement: [Chen Yi, givenName, Yi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yi Context triple: [Chen Yi, givenName, Yi]
-
A.
Yi
The Yi are one of China’s largest ethnic minority groups, with a distinct Tibeto-Burman language, traditional dress, and rich folk culture concentrated mainly in the mountainous regions of southwest China.
-
B.
Daehan Minguk
Daehan Minguk is the Korean name for the Republic of Korea, the East Asian nation commonly known as South Korea.
-
C.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
D.
Jin
Jin is the standard abbreviation used to refer to Shanxi Province in China.
-
E.
Gojong of Korea
Gojong of Korea was the monarch who transformed the Joseon Kingdom into the Korean Empire and became its first emperor during a period of intense foreign pressure and modernization.
- 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: Yi Triple: [Chen Yi, givenName, Yi]
Generated description
Yi is a common Chinese given name shared by numerous historical and contemporary figures across politics, arts, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yi Target entity description: Yi is a common Chinese given name shared by numerous historical and contemporary figures across politics, arts, and other fields.
-
A.
Yi
The Yi are one of China’s largest ethnic minority groups, with a distinct Tibeto-Burman language, traditional dress, and rich folk culture concentrated mainly in the mountainous regions of southwest China.
-
B.
Daehan Minguk
Daehan Minguk is the Korean name for the Republic of Korea, the East Asian nation commonly known as South Korea.
-
C.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
D.
Jin
Jin is the standard abbreviation used to refer to Shanxi Province in China.
-
E.
Gojong of Korea
Gojong of Korea was the monarch who transformed the Joseon Kingdom into the Korean Empire and became its first emperor during a period of intense foreign pressure and modernization.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec2417648190ad010189d304d119 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5123802248190b03a887d3a4e762f |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b5136f96948190861a37ba72bd2f86 |
completed | March 14, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513e888008190892627805d2abd50 |
completed | March 14, 2026, 7:53 a.m. |
Created at: March 9, 2026, 3:19 p.m.