Triple
T18354986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triplicate |
E439765
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object | But Beautiful |
—
|
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: But Beautiful | Statement: [Triplicate, containsWork, But Beautiful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: But Beautiful Context triple: [Triplicate, containsWork, But Beautiful]
-
A.
But Beautiful
chosen
"But Beautiful" is a popular jazz standard and romantic ballad composed by Jimmy Van Heusen with lyrics by Johnny Burke, widely recorded by vocalists and instrumentalists since the 1940s.
-
B.
So Beautiful
"So Beautiful" is a soulful R&B song written and produced by Carvin Haggins, known for its heartfelt lyrics and smooth, emotive vocal delivery.
-
C.
Some Kind of Beautiful
Some Kind of Beautiful is a song featured on the album "Who We Used to Be."
-
D.
The Beautiful
The Beautiful is a lesser-known rock band that featured drummer Frank Ferrer before he gained wider recognition with Guns N' Roses.
-
E.
That Ain't Beautiful
"That Ain't Beautiful" is a song by American record producer and rapper Southside, known for its hard-hitting trap production and emotionally charged lyrics.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d458148190849ed28fa90eb92b |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.