Triple
T10305083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hsue-Shen Tsien |
E241730
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tsien |
E241730
|
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: Tsien | Statement: [Hsue-Shen Tsien, familyName, Tsien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsien Context triple: [Hsue-Shen Tsien, familyName, Tsien]
-
A.
Tsien
chosen
Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
-
B.
Tian
Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
-
C.
Tiant
Tiant is a surname most notably associated with Cuban former Major League Baseball pitcher Luis Tiant, known for his distinctive delivery and success with the Boston Red Sox in the 1970s.
-
D.
Chʻên
Chʻên is the Wade–Giles romanization of the common Chinese surname 陳, more commonly written as "Chen" in pinyin.
-
E.
Hui
The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d309a4508190ad9de37171a64dba |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75026fb0881908e4d16b3fde531c0 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:46 a.m.