Triple
T2641715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rolling Stones |
E62881
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sweet Virginia
"Sweet Virginia" is a country-influenced rock song by The Rolling Stones, featured on their 1972 album Exile on Main St.
|
E285748
|
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: Sweet Virginia | Statement: [The Rolling Stones, notableWork, Sweet Virginia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet Virginia Context triple: [The Rolling Stones, notableWork, Sweet Virginia]
-
A.
Sweet Southern Sugar
Sweet Southern Sugar is a studio album by American musician Kid Rock that blends country, rock, and hip-hop influences.
-
B.
Dixie
Dixie is a well-known American consumer brand specializing in disposable tableware products such as paper plates, cups, and napkins.
-
C.
Bed of Roses
Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
-
D.
America's Sweetheart
America's Sweetheart is the famous nickname of silent film star Mary Pickford, reflecting her immense popularity and wholesome public image in early Hollywood.
-
E.
Heart of Dixie
Heart of Dixie is a popular nickname for the U.S. state of Alabama, reflecting its central role in the history and culture of the American South.
- 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: Sweet Virginia Triple: [The Rolling Stones, notableWork, Sweet Virginia]
Generated description
"Sweet Virginia" is a country-influenced rock song by The Rolling Stones, featured on their 1972 album Exile on Main St.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sweet Virginia Target entity description: "Sweet Virginia" is a country-influenced rock song by The Rolling Stones, featured on their 1972 album Exile on Main St.
-
A.
Sweet Southern Sugar
Sweet Southern Sugar is a studio album by American musician Kid Rock that blends country, rock, and hip-hop influences.
-
B.
Dixie
Dixie is a well-known American consumer brand specializing in disposable tableware products such as paper plates, cups, and napkins.
-
C.
Bed of Roses
Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
-
D.
America's Sweetheart
America's Sweetheart is the famous nickname of silent film star Mary Pickford, reflecting her immense popularity and wholesome public image in early Hollywood.
-
E.
Heart of Dixie
Heart of Dixie is a popular nickname for the U.S. state of Alabama, reflecting its central role in the history and culture of the American South.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fdc0bc8190b7fd102b87ee50d1 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98bfd4008190a30675ebaf01e483 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af99416924819099d4acb1a2d60e0c |
completed | March 10, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99adadb08190a44f2286b25bf0aa |
completed | March 10, 2026, 4:10 a.m. |
Created at: March 6, 2026, 9:53 p.m.