Triple
T2914948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CK |
E63779
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Where Are You Tonite
"Where Are You Tonite" is a song by the South Korean rapper and singer CK, known for his melodic hip-hop style.
|
E310888
|
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: Where Are You Tonite | Statement: [CK, hasTrack, Where Are You Tonite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Where Are You Tonite Context triple: [CK, hasTrack, Where Are You Tonite]
-
A.
A Night Out
A Night Out is a 1915 silent comedy film starring Charlie Chaplin, produced during his early period in American cinema.
-
B.
We’ve Got Tonight
"We’ve Got Tonight" is a popular country-pop ballad best known from Kenny Rogers’ hit 1983 duet version with Sheena Easton.
-
C.
See You Tonight
"See You Tonight" is a song by Green Day from their 2012 album ¡Dos!.
-
D.
Where You At
"Where You At" is a soulful R&B ballad by Jennifer Hudson that showcases her powerful vocals and served as a lead single from her second studio album.
-
E.
Tonight and Every Night
Tonight and Every Night is a 1945 Technicolor musical film starring Rita Hayworth, set in wartime London and loosely inspired by the real-life Windmill Theatre.
- 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: Where Are You Tonite Triple: [CK, hasTrack, Where Are You Tonite]
Generated description
"Where Are You Tonite" is a song by the South Korean rapper and singer CK, known for his melodic hip-hop style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Where Are You Tonite Target entity description: "Where Are You Tonite" is a song by the South Korean rapper and singer CK, known for his melodic hip-hop style.
-
A.
A Night Out
A Night Out is a 1915 silent comedy film starring Charlie Chaplin, produced during his early period in American cinema.
-
B.
We’ve Got Tonight
"We’ve Got Tonight" is a popular country-pop ballad best known from Kenny Rogers’ hit 1983 duet version with Sheena Easton.
-
C.
See You Tonight
"See You Tonight" is a song by Green Day from their 2012 album ¡Dos!.
-
D.
Where You At
"Where You At" is a soulful R&B ballad by Jennifer Hudson that showcases her powerful vocals and served as a lead single from her second studio album.
-
E.
Tonight and Every Night
Tonight and Every Night is a 1945 Technicolor musical film starring Rita Hayworth, set in wartime London and loosely inspired by the real-life Windmill Theatre.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0edb1ac81908b22ef60abb4a4df |
completed | March 7, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b056249b5c8190b388088bf047616f |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b06434bef48190848d8ab1aa59937c |
completed | March 10, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b064a3b41481909214a09eae0b092b |
completed | March 10, 2026, 6:36 p.m. |
Created at: March 6, 2026, 10:11 p.m.