Triple
T10959010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ng |
E258916
|
entity |
| Predicate | hasChineseCharacter |
P63661
|
FINISHED |
| Object | 吳 |
E66200
|
NE FINISHED |
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: 吳 | Statement: [Ng, hasChineseCharacter, 吳]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 吳 Context triple: [Ng, hasChineseCharacter, 吳]
-
A.
陳
陳 is a common Chinese surname and character with historical roots, widely used across Chinese-speaking communities and often romanized as "Chan," "Chen," or similar variants.
-
B.
鄭
鄭 is a common Korean family name of Chinese origin, typically romanized as Jeong, Jung, or Chung.
-
C.
苏
苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
-
D.
Lun Wen
Lun Wen is an influential literary essay by the Chinese emperor and writer Cao Pi, known for its early critical discussion of literature and authorship in classical Chinese literary theory.
-
E.
Wu
chosen
Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77127b10481908ad1efafb2a338d1 |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3449113f08190b83ffbf1b4c46518 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:23 p.m.