Triple
T28284204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuiweng Ting Ji |
E713234
|
entity |
| Predicate | authorChineseName |
P4878
|
FINISHED |
| Object | 歐陽修 |
—
|
NE NERFINISHED |
How this triple was built (2 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: 歐陽修 | Statement: [Zuiweng Ting Ji, authorChineseName, 歐陽修]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorChineseName Context triple: [Zuiweng Ting Ji, authorChineseName, 歐陽修]
-
A.
nameInChinese
chosen
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
B.
ChineseNameSimplified
Indicates that an entity’s name is given in simplified Chinese characters.
-
C.
courtesyNameChinese
Indicates that one entity is the Chinese courtesy name (zì) traditionally adopted by a person, typically in adulthood, as an alternative to their given name.
-
D.
ChineseNameTraditional
Indicates that an entity’s name is given in traditional Chinese characters.
-
E.
fullNameInChineseGivenName
Indicates that the entity’s full name, when written in Chinese, is ordered with the given name first.
- F. None of above.
Provenance (3 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 27, 2026, 11:25 p.m.