Triple
T3971901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Respect |
E92354
|
entity |
| Predicate | B-side |
P15273
|
FINISHED |
| Object | Dr. Feelgood |
E322990
|
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: Dr. Feelgood | Statement: [Respect, B-side, Dr. Feelgood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Feelgood Context triple: [Respect, B-side, Dr. Feelgood]
-
A.
Dr. Feelgood
chosen
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.
-
B.
Can't B Good
"Can't B Good" is a track by the American R&B singer Janet Jackson from her 2006 album "20 Y.O."
-
C.
Feeling Good
"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.
-
D.
Acid Queen
"Acid Queen" is a 1975 rock album by Tina Turner that showcases her powerful vocals through a mix of rock covers and songs inspired by The Who’s rock opera "Tommy."
-
E.
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.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef995d27881908b24a5b2ef57455f |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400b75d081909b8e4840b15d19f1 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.