Triple
T23056214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Wings |
E574162
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Shiyi
Shiyi is an alternative name for the "Ten Wings," the traditional Confucian commentaries that elaborate on and interpret the classic text of the I Ching (Book of Changes).
|
E1569978
|
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: Shiyi | Statement: [Ten Wings, hasAlternativeName, Shiyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiyi Context triple: [Ten Wings, hasAlternativeName, Shiyi]
-
A.
Shaoyi
Shaoyi is a given name most notably borne by Tang Shaoyi, the first Premier of the Republic of China in 1912.
-
B.
Luoyi
Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
-
C.
Shizhen
Shizhen is the given name of Li Shizhen, the renowned Ming dynasty physician and naturalist best known for compiling the monumental Chinese medical text "Compendium of Materia Medica."
-
D.
Jiyao
Jiyao is a given name most notably associated with Tang Jiyao, a prominent Chinese warlord and political figure of the early 20th century.
-
E.
Juyi
Juyi is the given name of Bai Juyi, a renowned Tang dynasty Chinese poet celebrated for his accessible style and social commentary.
- 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: Shiyi Triple: [Ten Wings, hasAlternativeName, Shiyi]
Generated description
Shiyi is an alternative name for the "Ten Wings," the traditional Confucian commentaries that elaborate on and interpret the classic text of the I Ching (Book of Changes).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shiyi Target entity description: Shiyi is an alternative name for the "Ten Wings," the traditional Confucian commentaries that elaborate on and interpret the classic text of the I Ching (Book of Changes).
-
A.
Shaoyi
Shaoyi is a given name most notably borne by Tang Shaoyi, the first Premier of the Republic of China in 1912.
-
B.
Luoyi
Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
-
C.
Shizhen
Shizhen is the given name of Li Shizhen, the renowned Ming dynasty physician and naturalist best known for compiling the monumental Chinese medical text "Compendium of Materia Medica."
-
D.
Jiyao
Jiyao is a given name most notably associated with Tang Jiyao, a prominent Chinese warlord and political figure of the early 20th century.
-
E.
Juyi
Juyi is the given name of Bai Juyi, a renowned Tang dynasty Chinese poet celebrated for his accessible style and social commentary.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1868099708190b23725dc8a305e09 |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15a3dfc481909f055d10c263591d |
completed | May 19, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_6a0c161cdc3c8190b9695b9c27c743ff |
completed | May 19, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c16c73140819088d46d4e8b03c7a4 |
completed | May 19, 2026, 7:52 a.m. |
Created at: April 17, 2026, 3:55 p.m.