Triple
T22107292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Nichols |
E546317
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Love So Right |
—
|
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: Love So Right | Statement: [Roger Nichols, notableWork, Love So Right]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love So Right Context triple: [Roger Nichols, notableWork, Love So Right]
-
A.
Love So Right
chosen
"Love So Right" is a soulful 1976 ballad by the Bee Gees, noted for its lush harmonies and emotional vocal performance.
-
B.
So Good So Right
"So Good So Right" is a song featured on the album "Strength & Loyalty" by the hip hop group Bone Thugs-n-Harmony.
-
C.
Love You Right
Love You Right is an R&B song by American singer-songwriter Dwele, showcasing his smooth, soulful vocal style and romantic lyricism.
-
D.
Something So Right
"Something So Right" is a soulful, introspective song by Paul Simon that reflects on the difficulty of accepting happiness and love.
-
E.
Feels So Right
"Feels So Right" is a hit country song and album by the band Alabama that helped establish their mainstream popularity in the early 1980s.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12919dd388190b8ca08e2464cb0b8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.