Triple
T17141090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陳慧琳 |
E415962
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 陳 |
E87685
|
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: 陳 | Statement: [陳慧琳, familyName, 陳]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 陳 Context triple: [陳慧琳, familyName, 陳]
-
A.
陳
chosen
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.
趙
趙 is a common Chinese surname with historical roots in ancient China, notably associated with the State of Zhao during the Warring States period.
-
D.
Chih-chung
Chih-chung is an alternative romanization of the Chinese given name Zhizhong, used in older or non–pinyin transcription systems.
-
E.
Tung Chao-yung
Tung Chao-yung was a prominent Hong Kong shipping magnate and founder of the Orient Overseas shipping empire.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d44a508190a3a149c3a64957f5 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014154b9848190ac01602eb01ae710 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.