Triple
T17025157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Melody Award for Best Mandarin Male Singer |
E413045
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
William Wei
William Wei is a Taiwanese singer-songwriter known for his emotive Mandarin pop ballads and acclaimed musicianship.
|
E1247768
|
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: William Wei | Statement: [Golden Melody Award for Best Mandarin Male Singer, notableRecipient, William Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Wei Context triple: [Golden Melody Award for Best Mandarin Male Singer, notableRecipient, William Wei]
-
A.
William Wang
William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
-
B.
Dick Wei
Dick Wei is a Taiwanese martial artist and actor best known for playing formidable villains in 1980s Hong Kong action films.
-
C.
William Li
William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
-
D.
Jonathan Wang
Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
-
E.
Wei-Wei
Wei-Wei is a central character in Ang Lee’s film "The Wedding Banquet," a young Chinese woman who enters a marriage of convenience that becomes emotionally complicated.
- 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: William Wei Triple: [Golden Melody Award for Best Mandarin Male Singer, notableRecipient, William Wei]
Generated description
William Wei is a Taiwanese singer-songwriter known for his emotive Mandarin pop ballads and acclaimed musicianship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Wei Target entity description: William Wei is a Taiwanese singer-songwriter known for his emotive Mandarin pop ballads and acclaimed musicianship.
-
A.
William Wang
William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
-
B.
Dick Wei
Dick Wei is a Taiwanese martial artist and actor best known for playing formidable villains in 1980s Hong Kong action films.
-
C.
William Li
William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
-
D.
Jonathan Wang
Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
-
E.
Wei-Wei
Wei-Wei is a central character in Ang Lee’s film "The Wedding Banquet," a young Chinese woman who enters a marriage of convenience that becomes emotionally complicated.
- 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_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012334c3b48190b125ab926450c45b |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0125420bd08190b969849a206a67d1 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125c7c4f48190b570dabd341b1ef1 |
completed | May 11, 2026, 12:41 a.m. |
Created at: April 10, 2026, 5:33 a.m.