Triple
T17456302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bittersweet World |
E425035
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Bittersweet World |
—
|
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: Bittersweet World | Statement: [Bittersweet World, hasTrack, Bittersweet World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bittersweet World Context triple: [Bittersweet World, hasTrack, Bittersweet World]
-
A.
Bittersweet World
chosen
Bittersweet World is the third studio album by American singer Ashlee Simpson, showcasing a pop-rock sound with dance and 1980s-inspired influences.
-
B.
Bitter Sweet
"Bitter Sweet" is a soul and R&B album by The Main Ingredient, showcasing the group's smooth harmonies and early-1970s sound.
-
C.
Bitter Sweet
Bitter Sweet is a 1929 operetta by Noël Coward, known for its romantic storyline and memorable songs set against an early 20th-century European backdrop.
-
D.
Bittersweet Suite
"Bittersweet Suite" is a contemplative, emotionally rich orchestral piece from Thomas Newman's acclaimed score for the film *Road to Perdition*.
-
E.
Bitter with the Sweet
"Bitter with the Sweet" is a song featured on the 1969 folk-rock album *Rhymes & Reasons* by John Denver.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45141e1d48190b7de9159f1fd71fa |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.