Triple
T22298057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deng |
E551174
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Deng Ziqi (G.E.M.) |
—
|
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: Deng Ziqi (G.E.M.) | Statement: [Deng, hasNotableBearer, Deng Ziqi (G.E.M.)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deng Ziqi (G.E.M.) Context triple: [Deng, hasNotableBearer, Deng Ziqi (G.E.M.)]
-
A.
G.E.M.
chosen
G.E.M. is a popular Hong Kong singer-songwriter known for her powerful vocals, pop ballads, and wide influence in the Chinese music scene.
-
B.
Zhu Yuling
Zhu Yuling is a Chinese table tennis player known for being one of the world’s top women’s singles competitors and a multiple-time World Championships medalist.
-
C.
Meng'er Zhang
Meng'er Zhang is a Chinese actress best known for her breakout role as Xialing in Marvel Studios' superhero film "Shang-Chi and the Legend of the Ten Rings."
-
D.
Tei Shi
Tei Shi is an Argentine-Canadian singer, songwriter, and producer known for her ethereal, R&B-infused indie pop and intimate, atmospheric soundscapes.
-
E.
Jessie Mei Li
Jessie Mei Li is a British actress best known for playing the lead role of Alina Starkov in the fantasy television series "Shadow and Bone."
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572200c88190b9413286136fef15 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.