Triple
T22884530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuts & Bruises |
E567568
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Just To Keep You Satisfied |
—
|
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: Just To Keep You Satisfied | Statement: [Cuts & Bruises, hasPart, Just To Keep You Satisfied]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Just To Keep You Satisfied Context triple: [Cuts & Bruises, hasPart, Just To Keep You Satisfied]
-
A.
Just to Keep You Satisfied
chosen
"Just to Keep You Satisfied" is a soulful, emotionally charged ballad by Marvin Gaye, noted for its lush orchestration and themes of heartbreak and romantic disillusionment.
-
B.
I’ll Keep You Satisfied
"I’ll Keep You Satisfied" is a 1963 pop song written by Lennon–McCartney and recorded by Billy J. Kramer and the Dakotas, known for its melodic Merseybeat style and chart success in the UK.
-
C.
Satisfy You
"Satisfy You" is a song by the American R&B group Forever.
-
D.
Satisfy You
"Satisfy You" is a country song performed by Janis Oliver, best known as one half of the country music duo Sweethearts of the Rodeo.
-
E.
I’m Satisfied
"I’m Satisfied" is a song featured on the R&B album "Share Your Love" by Kenny Rogers.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fbfc5848190aa612ea51df5a9ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.