Triple
T9678466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Day |
E234220
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Great Day |
E234220
|
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: Great Day | Statement: [Great Day, hasTitle, Great Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Day Context triple: [Great Day, hasTitle, Great Day]
-
A.
Great Day
chosen
"Great Day" is a song by Paul McCartney that appears as the closing track on his 1997 album "Flaming Pie."
-
B.
A Good Day
"A Good Day" is the debut studio album by American singer-songwriter Priscilla Ahn, showcasing her gentle folk-pop style and introspective songwriting.
-
C.
Better Dayz
Better Dayz is a posthumous double album by American rapper Tupac Shakur, featuring previously unreleased and remixed tracks recorded before his death.
-
D.
Best Day Ever
Best Day Ever is a 2011 mixtape by Mac Miller that helped propel his early mainstream popularity with upbeat, feel-good tracks.
-
E.
The Best Day
"The Best Day" is a nostalgic country-pop song by Taylor Swift that reflects on her childhood memories and close relationship with her mother.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9b01708190aaf51cf4d36015a0 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a34adec8190a4a260d029e408aa |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:16 p.m.