Triple
T20794086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomorrow’s Sounds Today |
E511863
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object | Time Spent Missing You |
—
|
NE NERFINISHED |
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: Time Spent Missing You | Statement: [Tomorrow’s Sounds Today, containsTrack, Time Spent Missing You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Time Spent Missing You Context triple: [Tomorrow’s Sounds Today, containsTrack, Time Spent Missing You]
-
A.
Time Spent Missing You
chosen
"Time Spent Missing You" is a country song by Dwight Yoakam featured on his album "Tomorrow’s Sounds Today."
-
B.
Missing You
"Missing You" is a song by the Black Eyed Peas from their 2009 album *The E.N.D.*.
-
C.
Missing You
"Missing You" is an R&B song by Mary J. Blige from her acclaimed 1997 album *Share My World*.
-
D.
Missing You
"Missing You" is a song by American punk rock band Green Day from their 2012 album ¡Tré!.
-
E.
Missing You
"Missing You" is a 2010 electropop single by British-Irish girl group The Saturdays, known for its synth-driven production and themes of heartbreak and longing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2abbcc8819091bb0225a0650ab6 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.