Triple
T20699227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapture |
E508734
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Sweet Love |
—
|
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: Sweet Love | Statement: [Rapture, notableTrack, Sweet Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet Love Context triple: [Rapture, notableTrack, Sweet Love]
-
A.
Sweet Love
"Sweet Love" is a soulful R&B ballad best known as a hit single by American singer Anita Baker.
-
B.
Sweet Love
chosen
"Sweet Love" is a track featured on Wizkid’s 2017 album *Sounds from the Other Side*, blending Afrobeats with smooth R&B influences.
-
C.
Beautiful Love
"Beautiful Love" is a classic jazz standard and popular song that has been widely recorded and performed since its introduction in the early 20th century.
-
D.
Sweetheart
Sweetheart is a 2019 survival horror film in which a young woman stranded on a deserted island must confront a terrifying sea monster.
-
E.
Sweetheart
"Sweetheart" is a song featured on the album "#1's."
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c113e4cc8190aabc11e3f2530e32 |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:11 p.m.