Triple
T991712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Bedlam |
E21405
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | You're Beautiful |
E26088
|
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: You're Beautiful | Statement: [Back to Bedlam, includesSong, You're Beautiful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You're Beautiful Context triple: [Back to Bedlam, includesSong, You're Beautiful]
-
A.
You're Beautiful
chosen
"You're Beautiful" is a 2005 pop ballad by British singer-songwriter James Blunt that became an international hit and one of his signature songs.
-
B.
Why I Love You
"Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
-
C.
My Love
"My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
-
D.
My Love
"My Love" is a 2006 electro-R&B single by Justin Timberlake featuring T.I., known for its futuristic production by Timbaland and its critical and commercial success.
-
E.
All of Me
All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c25e5081909ff1ada6b8bf617a |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a1684ac8190952d7143fe9a5e7f |
completed | March 7, 2026, 1:37 p.m. |
Created at: March 1, 2026, 7:41 p.m.