Triple
T17881342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain (album) |
E447090
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Solo (So Low)
"Solo (So Low)" is a track from the album "Rain" by the Norwegian electronic music duo A-ha.
|
E1293298
|
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: Solo (So Low) | Statement: [Rain (album), hasPart, Solo (So Low)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solo (So Low) Context triple: [Rain (album), hasPart, Solo (So Low)]
-
A.
So Low
"So Low" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*, showcasing his socially conscious lyricism over soulful, boom-bap-influenced production.
-
B.
Down So Low
"Down So Low" is a soulful ballad best known from Linda Ronstadt’s 1976 album *Hasten Down the Wind*, originally written and recorded by singer-songwriter Tracy Nelson.
-
C.
Low and Lonely
"Low and Lonely" is a classic country song closely associated with American country music star Roy Acuff.
-
D.
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.
-
E.
Here Alone
"Here Alone" is a poignant solo ballad from the stage musical adaptation of *Little Women*, often noted for its emotional depth and character development.
- 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: Solo (So Low) Triple: [Rain (album), hasPart, Solo (So Low)]
Generated description
"Solo (So Low)" is a track from the album "Rain" by the Norwegian electronic music duo A-ha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Solo (So Low) Target entity description: "Solo (So Low)" is a track from the album "Rain" by the Norwegian electronic music duo A-ha.
-
A.
So Low
"So Low" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*, showcasing his socially conscious lyricism over soulful, boom-bap-influenced production.
-
B.
Down So Low
"Down So Low" is a soulful ballad best known from Linda Ronstadt’s 1976 album *Hasten Down the Wind*, originally written and recorded by singer-songwriter Tracy Nelson.
-
C.
Low and Lonely
"Low and Lonely" is a classic country song closely associated with American country music star Roy Acuff.
-
D.
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.
-
E.
Here Alone
"Here Alone" is a poignant solo ballad from the stage musical adaptation of *Little Women*, often noted for its emotional depth and character development.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0f40fc8190b2e615b41829f5df |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313d3dba88190a5dd60d1d4ac63f0 |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a0314c062388190807c3a40f3693b89 |
completed | May 12, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03158595708190bdfa0391a829fbc3 |
completed | May 12, 2026, 11:56 a.m. |
Created at: April 10, 2026, 10:18 a.m.