Triple
T20862870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Release the Stars |
E513667
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Not Ready to Love |
—
|
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: Not Ready to Love | Statement: [Release the Stars, hasTrack, Not Ready to Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Not Ready to Love Context triple: [Release the Stars, hasTrack, Not Ready to Love]
-
A.
Not Ready to Love
chosen
"Not Ready to Love" is a song by Rufus Wainwright from his 2007 album "Release the Stars."
-
B.
Ready for Your Love
"Ready for Your Love" is a 2014 UK garage-influenced electronic dance single by Gorgon City featuring British singer MNEK (Uzoechi Emenike), known for its soulful vocals and chart success.
-
C.
Ready to Love
Ready to Love is a reality dating series that follows successful Black singles navigating romance and relationships, produced by filmmaker and TV producer Will Packer.
-
D.
Ready for Love
"Ready for Love" is a song best known as a soulful rock ballad popularized by the band Bad Company.
-
E.
You Don’t Love Me Yet
"You Don’t Love Me Yet" is a 2007 novel by Jonathan Lethem, a comic exploration of love, art, and indie culture set in Los Angeles.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.