Triple
T13996633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boy Who Knew Too Much |
E336713
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object |
Rain
"Rain" is a popular song by South Korean singer Rain, showcasing his R&B-influenced K-pop style and helping solidify his status as a leading solo artist in Asia.
|
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: [The Boy Who Knew Too Much, notableSingle, Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rain Context triple: [The Boy Who Knew Too Much, notableSingle, Rain]
-
A.
Rain
Rain is a surname shared by various individuals, including those in the entertainment industry such as actress and writer Jeramie Rain.
-
B.
Rain
Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
-
C.
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.
-
D.
Rain
"Rain" is a soulful R&B song by American singer-songwriter Ant Clemons that showcases his emotive vocals and introspective lyricism.
-
E.
Rain
"Rain" is a track from Kanye West's gospel-influenced album *Jesus Is Born*, performed by the Sunday Service Choir.
- 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: [The Boy Who Knew Too Much, notableSingle, Rain]
Generated description
"Rain" is a popular song by South Korean singer Rain, showcasing his R&B-influenced K-pop style and helping solidify his status as a leading solo artist in Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rain Target entity description: "Rain" is a popular song by South Korean singer Rain, showcasing his R&B-influenced K-pop style and helping solidify his status as a leading solo artist in Asia.
-
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 soulful R&B song by American singer-songwriter Ant Clemons that showcases his emotive vocals and introspective lyricism.
-
D.
Rain
"Rain" is a song by British singer-songwriter Michael Holbrook Penniman Jr., better known as Mika, showcasing his signature pop style and theatrical vocals.
-
E.
Rain
"Rain" is a song by the American rock band Empress.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdef5e0648190ace4ec1605968e30 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fcdfd372e0819089f0b48f84a63ab4 |
completed | May 7, 2026, 6:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce027c628819085738433b5d5525d |
completed | May 7, 2026, 6:55 p.m. |
Created at: April 9, 2026, 10:19 p.m.