Triple
T13615439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Asia Awards |
E325298
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Rain
Rain is a South Korean singer, songwriter, dancer, and actor who became one of Asia’s most influential K-pop stars and a major figure in the global spread of Korean pop culture.
|
E387856
|
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: Rain | Statement: [MTV Asia Awards, notableRecipient, Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rain Context triple: [MTV Asia Awards, notableRecipient, Rain]
-
A.
Rain
Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
-
B.
Rain
"Rain" is a song by Canadian singer-songwriter Jessie Reyez, known for its emotive vocals and introspective lyrics.
-
C.
Rain
"Rain" is a 1966 Beatles song, noted for its innovative use of reversed tapes and studio effects that helped pioneer psychedelic rock.
-
D.
Rain
"Rain" is a song by the American rock band Empress.
-
E.
Rain
"Rain" is a 1932 American pre-Code drama film starring Walter Huston, based on W. Somerset Maugham’s short story about moral conflict and temptation in the South Seas.
- 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: Rain Triple: [MTV Asia Awards, notableRecipient, Rain]
Generated description
Rain is a South Korean singer, songwriter, dancer, and actor who became one of Asia’s most influential K-pop stars and a major figure in the global spread of Korean pop culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rain Target entity description: Rain is a South Korean singer, songwriter, dancer, and actor who became one of Asia’s most influential K-pop stars and a major figure in the global spread of Korean pop culture.
-
A.
Rain
chosen
Rain is a South Korean singer and actor known internationally for his music career and roles in films and television dramas.
-
B.
Rain
"Rain" is a song by Canadian singer-songwriter Jessie Reyez, known for its emotive vocals and introspective lyrics.
-
C.
Rain
"Rain" is a song by the American rock band Empress.
-
D.
Rain
Rain is a surname shared by various individuals, including those in the entertainment industry such as actress and writer Jeramie Rain.
-
E.
Rain
Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9ecc2881909f71d71e056f9459 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f782c41634819096b0939c6c917259 |
completed | May 3, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78366eca88190be313c3a1b1e23ff |
completed | May 3, 2026, 5:18 p.m. |
Created at: April 9, 2026, 9:50 p.m.