Triple
T18777473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackie Chen |
E459168
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 陳 |
—
|
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: 陳 | Statement: [Blackie Chen, familyName, 陳]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 陳 Context triple: [Blackie Chen, 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.
朱
朱 is a common Chinese surname with historical roots and notable bearers across Chinese-speaking communities.
-
E.
Chih-chung
Chih-chung is an alternative romanization of the Chinese given name Zhizhong, used in older or non–pinyin transcription systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933c640081909bb6fbaa1a21d411 |
completed | April 20, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:52 a.m.