Triple
T12332849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trouble |
E294005
|
entity |
| Predicate | singleFromAlbum |
P1995
|
FINISHED |
| Object |
Lonely
"Lonely" is a song by the South Korean boy band Trouble, released as a single from one of their studio albums.
|
E989949
|
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: Lonely | Statement: [Trouble, singleFromAlbum, Lonely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lonely Context triple: [Trouble, singleFromAlbum, Lonely]
-
A.
Lonely
"Lonely" is a 2005 R&B/hip-hop ballad by Akon, known for its distinctive high-pitched sample and themes of heartbreak and regret.
-
B.
The Lonely
"The Lonely" is a 1959 episode of the anthology series The Twilight Zone about a convicted man exiled to a remote asteroid who develops a profound emotional bond with a female robot companion.
-
C.
Low and Lonely
"Low and Lonely" is a classic country song closely associated with American country music star Roy Acuff.
-
D.
Mr. Lonely
"Mr. Lonely" is a 2004 R&B single by American singer Bobby V, known for its smooth vocals and themes of romantic longing.
-
E.
So Lonely
"So Lonely" is a 1978 reggae-influenced rock song by the British band The Police, known for its catchy melody and themes of isolation and heartache.
- 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: Lonely Triple: [Trouble, singleFromAlbum, Lonely]
Generated description
"Lonely" is a song by the South Korean boy band Trouble, released as a single from one of their studio albums.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lonely Target entity description: "Lonely" is a song by the South Korean boy band Trouble, released as a single from one of their studio albums.
-
A.
Lonely
"Lonely" is a 2005 R&B/hip-hop ballad by Akon, known for its distinctive high-pitched sample and themes of heartbreak and regret.
-
B.
The Lonely
"The Lonely" is a 1959 episode of the anthology series The Twilight Zone about a convicted man exiled to a remote asteroid who develops a profound emotional bond with a female robot companion.
-
C.
Low and Lonely
"Low and Lonely" is a classic country song closely associated with American country music star Roy Acuff.
-
D.
Mr. Lonely
"Mr. Lonely" is a 2004 R&B single by American singer Bobby V, known for its smooth vocals and themes of romantic longing.
-
E.
So Lonely
"So Lonely" is a 1978 reggae-influenced rock song by the British band The Police, known for its catchy melody and themes of isolation and heartache.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6555e525c8190aa72da362fae1e3e |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65799ca588190b9f7a07f5c1a842c |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:53 p.m.