Triple
T14614136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liang |
E343037
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Liang |
E343037
|
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: Liang | Statement: [Liang, romanization, Liang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liang Context triple: [Liang, romanization, Liang]
-
A.
Liang
chosen
Liang is a common Chinese surname borne by numerous historical figures, scholars, and public personalities across the Chinese-speaking world.
-
B.
Liangjie
Liangjie is the given name of Dongshan Liangjie, a prominent 9th-century Chan (Zen) Buddhist master associated with the Caodong/Sōtō school in China.
-
C.
Jianwei
Jianwei is a given name most notably borne by Pan Jianwei, a prominent Chinese quantum physicist recognized for his pioneering work in quantum communication and quantum computing.
-
D.
Liao
Liao is a surname of Chinese origin borne by various notable individuals across fields such as acting, politics, and academia.
-
E.
Liulichang
Liulichang is a famous historic cultural street in Beijing known for its traditional architecture, antique shops, and stores selling calligraphy, paintings, and rare books.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb45264988190a1df13e8b54a85bd |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5cbcf08819084313bf28f0bb3e1 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.