Triple
T13855149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Big Town |
E333044
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
Mr. Sun
Mr. Sun is a studio album by American country music group Little Big Town, showcasing their signature harmonies and contemporary country-pop sound.
|
E1066843
|
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: Mr. Sun | Statement: [Little Big Town, album, Mr. Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Sun Context triple: [Little Big Town, album, Mr. Sun]
-
A.
Father Sun
Father Sun is a reverential title for the Incan solar deity Inti, honored as a life-giving and protective cosmic father figure.
-
B.
Please, Mr. Sun
"Please, Mr. Sun" is a popular 1950s pop ballad best known for being recorded and made famous by American singer Johnnie Ray.
-
C.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
-
D.
Sun-grant
The Sun Grant program is a U.S. federal initiative that supports research, education, and outreach in bioenergy and sustainable agricultural technologies through a network of land-grant universities.
-
E.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
- 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: Mr. Sun Triple: [Little Big Town, album, Mr. Sun]
Generated description
Mr. Sun is a studio album by American country music group Little Big Town, showcasing their signature harmonies and contemporary country-pop sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Sun Target entity description: Mr. Sun is a studio album by American country music group Little Big Town, showcasing their signature harmonies and contemporary country-pop sound.
-
A.
Father Sun
Father Sun is a reverential title for the Incan solar deity Inti, honored as a life-giving and protective cosmic father figure.
-
B.
Please, Mr. Sun
"Please, Mr. Sun" is a popular 1950s pop ballad best known for being recorded and made famous by American singer Johnnie Ray.
-
C.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
-
D.
Sun-grant
The Sun Grant program is a U.S. federal initiative that supports research, education, and outreach in bioenergy and sustainable agricultural technologies through a network of land-grant universities.
-
E.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fb7c3c819081fc6f89aa17d6af |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c2c711948190ac614291592a7e03 |
completed | May 3, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c36f28b48190b734a9e5e7ae39b9 |
completed | May 3, 2026, 9:51 p.m. |
Created at: April 9, 2026, 10:14 p.m.