Triple
T21193596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Su Tseng-chang |
E522269
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Chen Chien-jen |
—
|
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: Chen Chien-jen | Statement: [Su Tseng-chang, succeededBy, Chen Chien-jen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chen Chien-jen Context triple: [Su Tseng-chang, succeededBy, Chen Chien-jen]
-
A.
Chen Chien-jen
chosen
Chen Chien-jen is a Taiwanese epidemiologist and politician who has served in top leadership roles in Taiwan’s government, including as vice president and later as premier.
-
B.
Chien Chung-jen
Chien Chung-jen is a notable individual who bears the Chinese surname Chien and is recognized for contributions associated with that family name.
-
C.
Chien Wei-chang
Chien Wei-chang is a Taiwanese physicist and academic known for his contributions to theoretical physics and higher education in Taiwan.
-
D.
Chien Chih-cheng
Chien Chih-cheng was a Taiwanese veterinarian whose controversial death drew significant public attention to animal welfare and euthanasia practices in Taiwan.
-
E.
Chien Wen-pin
Chien Wen-pin is a Taiwanese conductor known for his work with major orchestras in Asia and Europe.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73339aaa081909d9009c58c386422 |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:08 p.m.