Triple
T6269653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Me Out |
E140496
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | All for Love |
E140497
|
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: All for Love | Statement: [Count Me Out, partOfAlbum, All for Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All for Love Context triple: [Count Me Out, partOfAlbum, All for Love]
-
A.
All for Love
chosen
All for Love is a 1985 R&B and pop studio album by American boy band New Edition, featuring hits that helped solidify their status in the mid-1980s music scene.
-
B.
All for Love
All for Love is a 1993 power ballad performed by Bryan Adams, Rod Stewart, and Sting, best known as the theme song for the film "The Three Musketeers."
-
C.
All for Love
All for Love is a 1677 tragic play by John Dryden that retells the story of Antony and Cleopatra in a neoclassical style focused on intense emotional conflict and moral choice.
-
D.
Lovers
Lovers is a Spanish film featuring actress Maribel Verdú in one of her notable roles.
-
E.
For Love’s Sake
For Love’s Sake is a song by American country artist Dwight Yoakam, featured on his 2000 album "Tomorrow’s Sounds Today."
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a3f1d081908ccff88db94b1f9c |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24460f1bc8190b15ca58331410ec2 |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:25 p.m.