Triple
T14019047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta Rhythm Section |
E337278
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Homesick
"Homesick" is a song by the Southern rock band Atlanta Rhythm Section, known for their smooth blend of rock, pop, and blues influences.
|
E1076317
|
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: Homesick | Statement: [Atlanta Rhythm Section, notableWork, Homesick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homesick Context triple: [Atlanta Rhythm Section, notableWork, Homesick]
-
A.
The Way Back Home
The Way Back Home is a drama film featuring actor Maxim Knight in its cast.
-
B.
Sing Me Home
Sing Me Home is a Grammy-winning 2016 album by Yo-Yo Ma and the Silk Road Ensemble that explores themes of home and cultural identity through a blend of global musical traditions.
-
C.
Back Home
"Back Home" is a studio album by Irish boy band Westlife, known for its pop ballads and commercial success in the late 2000s.
-
D.
Back Home
"Back Home" is a pop song best known as a solo single by English singer-songwriter and producer Simon Climie.
-
E.
Back Home
"Back Home" is a 1947 memoir by American cartoonist Bill Mauldin that reflects on his experiences returning to civilian life after World War II and critiques postwar American society.
- 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: Homesick Triple: [Atlanta Rhythm Section, notableWork, Homesick]
Generated description
"Homesick" is a song by the Southern rock band Atlanta Rhythm Section, known for their smooth blend of rock, pop, and blues influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Homesick Target entity description: "Homesick" is a song by the Southern rock band Atlanta Rhythm Section, known for their smooth blend of rock, pop, and blues influences.
-
A.
The Way Back Home
The Way Back Home is a drama film featuring actor Maxim Knight in its cast.
-
B.
Sing Me Home
Sing Me Home is a Grammy-winning 2016 album by Yo-Yo Ma and the Silk Road Ensemble that explores themes of home and cultural identity through a blend of global musical traditions.
-
C.
Back Home
"Back Home" is a studio album by Irish boy band Westlife, known for its pop ballads and commercial success in the late 2000s.
-
D.
Back Home
"Back Home" is a pop song best known as a solo single by English singer-songwriter and producer Simon Climie.
-
E.
Back Home
"Back Home" is a 1947 memoir by American cartoonist Bill Mauldin that reflects on his experiences returning to civilian life after World War II and critiques postwar American society.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32d77108190b038e8a750738439 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc43e28e288190827925f45b942959 |
completed | May 7, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:19 p.m.