Triple
T12974086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiaomi |
E321474
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object |
Redmi
Redmi is a budget-focused smartphone and electronics brand known for offering feature-rich devices at highly competitive prices.
|
E321474
|
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: Redmi | Statement: [Xiaomi, hasSubBrand, Redmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redmi Context triple: [Xiaomi, hasSubBrand, Redmi]
-
A.
Xiaomi
Xiaomi is a major Chinese electronics and smartphone manufacturer known for its affordable, feature-rich devices and rapidly growing global presence.
-
B.
Vivo
Vivo is an animated musical film produced by Sony Pictures Animation that follows a music-loving kinkajou on a heartfelt adventure to deliver a song.
-
C.
Xperia
Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
-
D.
Huawei Nova
Huawei Nova is a mid-range Android smartphone from Huawei’s Nova lineup, known for its stylish design and solid camera performance.
-
E.
Moto G
Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
- 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: Redmi Triple: [Xiaomi, hasSubBrand, Redmi]
Generated description
Redmi is a budget-focused smartphone and electronics brand known for offering feature-rich devices at highly competitive prices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Redmi Target entity description: Redmi is a budget-focused smartphone and electronics brand known for offering feature-rich devices at highly competitive prices.
-
A.
Xiaomi
chosen
Xiaomi is a major Chinese electronics and smartphone manufacturer known for its affordable, feature-rich devices and rapidly growing global presence.
-
B.
Vivo
Vivo is an animated musical film produced by Sony Pictures Animation that follows a music-loving kinkajou on a heartfelt adventure to deliver a song.
-
C.
Xperia
Xperia is Sony's line of smartphones and tablets known for their sleek design, high-quality displays, and advanced camera technology.
-
D.
Huawei Nova
Huawei Nova is a mid-range Android smartphone from Huawei’s Nova lineup, known for its stylish design and solid camera performance.
-
E.
Moto G
Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
- F. None of above.
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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e4322c08190abd43daadf16097f |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ec821c81909398d8e02d69dcbf |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9dc31ec819093c89ff0a1ccbfa1 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6baacd7548190af5514923a0dee26 |
completed | May 3, 2026, 3:02 a.m. |
Created at: April 9, 2026, 8:37 p.m.