Triple
T19344635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leigh Nash |
E483842
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Blue on Blue
Blue on Blue is a solo studio album by American singer Leigh Nash, known for its melodic pop and reflective, emotive songwriting.
|
E1370791
|
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: Blue on Blue | Statement: [Leigh Nash, notableWork, Blue on Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue on Blue Context triple: [Leigh Nash, notableWork, Blue on Blue]
-
A.
Blue on Blue
"Blue on Blue" is a 1963 pop ballad by American singer Bobby Vinton that became one of his signature hits.
-
B.
Black and Blue
Black and Blue is a crime novel by Scottish author Ian Rankin featuring detective Inspector Rebus as he investigates a series of complex and gritty cases in Edinburgh.
-
C.
Black and Blue
"Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
-
D.
Black and Blue
"Black and Blue" is a song featured on the album "When It’s All Over We Still Have to Clear Up" by the Scottish rock band Snow Patrol.
-
E.
Black and Blue
Black and Blue is a ghost-themed film included in the compilation "Films About Ghosts (The Best Of...)."
- 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: Blue on Blue Triple: [Leigh Nash, notableWork, Blue on Blue]
Generated description
Blue on Blue is a solo studio album by American singer Leigh Nash, known for its melodic pop and reflective, emotive songwriting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue on Blue Target entity description: Blue on Blue is a solo studio album by American singer Leigh Nash, known for its melodic pop and reflective, emotive songwriting.
-
A.
Blue on Blue
"Blue on Blue" is a 1963 pop ballad by American singer Bobby Vinton that became one of his signature hits.
-
B.
Black and Blue
"Black and Blue" is a song featured on the album "When It’s All Over We Still Have to Clear Up" by the Scottish rock band Snow Patrol.
-
C.
Black and Blue
Black and Blue is a crime novel by Scottish author Ian Rankin featuring detective Inspector Rebus as he investigates a series of complex and gritty cases in Edinburgh.
-
D.
Black and Blue
"Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
-
E.
Black and Blue
Black and Blue is a ghost-themed film included in the compilation "Films About Ghosts (The Best Of...)."
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e618598dc08190a723398dd6fe551d |
completed | April 20, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071beaecc4819090e92ee8e98b9f2d |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071ca19f308190ac9072c5a8d3b665 |
completed | May 15, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071de35b9081908d1b6e797cbe69ce |
completed | May 15, 2026, 1:21 p.m. |
Created at: April 10, 2026, 1:34 p.m.