Triple
T3891456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nina Simone |
E88070
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Feeling Good |
E165334
|
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: Feeling Good | Statement: [Nina Simone, notableWork, Feeling Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feeling Good Context triple: [Nina Simone, notableWork, Feeling Good]
-
A.
Feeling Good
chosen
"Feeling Good" is a soulful, empowering track popularized by artists like Nina Simone and Michael Bublé, known for its dramatic vocals and themes of renewal and liberation.
-
B.
Feel Good
"Feel Good" is a popular song by the American funk band The Internet, known for its smooth neo-soul sound and laid-back groove.
-
C.
Dr. Feelgood
Dr. Feelgood is a British pub rock band known for their high-energy rhythm and blues style and influential role in the 1970s UK rock scene.
-
D.
Glad to Be Unhappy
"Glad to Be Unhappy" is a melancholy standard from the Rodgers and Hart songbook that has been widely recorded in jazz and pop interpretations.
-
E.
Be Good to Yourself
"Be Good to Yourself" is a 1986 rock single by American band Journey, known for its uplifting lyrics and anthemic arena-rock sound.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecb237748190a4d41b76e8efd0ba |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c91d41c8190868ce530d58b5516 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:21 p.m.