Triple
T4807854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvest Moon |
E106989
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | One of These Days |
E263133
|
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: One of These Days | Statement: [Harvest Moon, hasTrack, One of These Days]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One of These Days Context triple: [Harvest Moon, hasTrack, One of These Days]
-
A.
One of These Days
chosen
"One of These Days" is a country song popularized by American singer Emmylou Harris, showcasing her signature blend of traditional country and folk influences.
-
B.
These Days
"These Days" is a 1995 rock album by Bon Jovi known for its darker, more mature themes and a shift toward a more introspective sound.
-
C.
One of Those Days
"One of Those Days" is an R&B song by Whitney Houston from her 2002 album *Just Whitney*, known for its laid-back groove and themes of relaxation and escape from everyday stress.
-
D.
Somedays
"Somedays" is a reflective, acoustic-driven song by Paul McCartney from his 1997 album "Flaming Pie."
-
E.
Days Like These
"Days Like These" is a song by the American indie rock band Low, noted for its slowcore style and introspective atmosphere.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c6a98a481909ef273d9946906a4 |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4da6a9b4819083706381a57e2c73 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:23 p.m.