Triple
T17025511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong music industry |
E413053
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
G.E.M.
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.
|
E1246415
|
NE FINISHED |
How this triple was built (4 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: G.E.M. | Statement: [Hong Kong music industry, featuresArtist, G.E.M.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G.E.M. Context triple: [Hong Kong music industry, featuresArtist, G.E.M.]
-
A.
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."
-
B.
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.
-
C.
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.
-
D.
Erica Li
Erica Li is a Hong Kong screenwriter known for her work on contemporary Chinese-language films and television dramas.
-
E.
Sammi
Sammi is a given name, typically used as a variant spelling of names like Sammie or Sammy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: G.E.M. Triple: [Hong Kong music industry, featuresArtist, G.E.M.]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: G.E.M. Target entity description: 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.
-
A.
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."
-
B.
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.
-
C.
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.
-
D.
Erica Li
Erica Li is a Hong Kong screenwriter known for her work on contemporary Chinese-language films and television dramas.
-
E.
Sammi
Sammi is a given name, typically used as a variant spelling of names like Sammie or Sammy.
- F. None of above. chosen
Provenance (5 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011cfb74b88190bbd5af862727790f |
completed | May 11, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011dad838c8190a1ea560680c9ca57 |
completed | May 11, 2026, 12:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.