Triple
T5144455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ¡Adios Amigos! |
E116036
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Have a Nice Day |
E217067
|
NE FINISHED |
How this triple was built (2 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: Have a Nice Day | Statement: [¡Adios Amigos!, hasTrack, Have a Nice Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Have a Nice Day Context triple: [¡Adios Amigos!, hasTrack, Have a Nice Day]
-
A.
Have a Nice Day
chosen
"Have a Nice Day" is a 2005 rock album by Bon Jovi known for its anthemic title track and themes of resilience and social commentary.
-
B.
On a Good Day
"On a Good Day" is a brief, piano-driven folk song by Joanna Newsom, known for its delicate melody and introspective lyrics.
-
C.
Great Day
"Great Day" is a song by Paul McCartney that appears as the closing track on his 1997 album "Flaming Pie."
-
D.
Beautiful Day
"Beautiful Day" is a Grammy-winning rock anthem by Irish band U2, known for its uplifting lyrics and soaring, atmospheric sound.
-
E.
Make Your Day
"Make Your Day" is the promotional slogan used by TikTok to convey its focus on entertaining, uplifting short-form video content.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78aaeb1881909e1b416ea37a7b6d |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becff0df5881909d247dd3db49f6c2 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.