Triple
T18148976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sussudio |
E434456
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Easy Lover |
—
|
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: Easy Lover | Statement: [Sussudio, precededBySingle, Easy Lover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easy Lover Context triple: [Sussudio, precededBySingle, Easy Lover]
-
A.
Easy Lover
chosen
"Easy Lover" is a 1984 pop-rock duet by Philip Bailey and Phil Collins that became an international hit known for its powerful vocals and catchy chorus.
-
B.
Easy Love
"Easy Love" is a popular electro-house track by Canadian electronic duo MSTRKRFT, known for its gritty synths, driving beat, and club-friendly energy.
-
C.
Lazy Love
"Lazy Love" is a song by the American R&B duo Chloe x Halle from their debut EP "Sugar Symphony."
-
D.
Lovergirl
"Lovergirl" is a popular 1984 R&B and funk single by American singer Teena Marie, known for its catchy groove and powerful vocals.
-
E.
Dirty Love
"Dirty Love" is a collection of interconnected novellas by American author Andre Dubus III that explores the complexities of desire, betrayal, and emotional vulnerability in contemporary relationships.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de372e8081908b52fe33c870716e |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.