Triple
T22481809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruford |
E555783
|
entity |
| Predicate | debutAlbum |
P3278
|
FINISHED |
| Object | Feels Good to Me |
—
|
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: Feels Good to Me | Statement: [Bruford, debutAlbum, Feels Good to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feels Good to Me Context triple: [Bruford, debutAlbum, Feels Good to Me]
-
A.
Feels Good to Me
chosen
Feels Good to Me is the 1978 debut solo album by drummer Bill Bruford, blending jazz fusion and progressive rock with an all-star lineup of musicians.
-
B.
Good for Me
"Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
-
C.
Good To Me
"Good To Me" is an R&B song by American singer LeToya Luckett, known for showcasing her smooth vocals and emotive, relationship-focused lyrics.
-
D.
Good to Be Me
"Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
-
E.
Good For Me
"Good For Me" is a melodic trance track by British electronic music group Above & Beyond, known for its emotive vocals and uplifting, atmospheric production.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c397b248190b36c2fbfa6489693 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.