Triple
T10201289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beecake |
E238886
|
entity |
| Predicate | hasRelease |
P22087
|
FINISHED |
| Object | Please Stay |
E847414
|
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: Please Stay | Statement: [Beecake, hasRelease, Please Stay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Please Stay Context triple: [Beecake, hasRelease, Please Stay]
-
A.
Please Stay
chosen
"Please Stay" is a song by the Scottish alternative rock band Beecake, known for its melodic style and emotive vocals.
-
B.
Stay or Go
"Stay or Go" is a song featured on the album "Still Standing" by the American R&B group Monica.
-
C.
And Still
"And Still" is a reflective, emotionally charged song by English musician Peter Gabriel, known for its atmospheric production and introspective lyrics.
-
D.
I'll Stay Me
"I'll Stay Me" is the first studio album by American country singer Luke Bryan, showcasing his traditional country roots and storytelling style.
-
E.
Stay Stay Stay
"Stay Stay Stay" is a playful, country-pop song by Taylor Swift from her 2012 album *Red*, reflecting on a lighthearted, resilient relationship.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32afa75ec8190bbaf2e69b4ee24f1 |
completed | April 6, 2026, 3:39 a.m. |
Created at: March 30, 2026, 9:14 p.m.