Triple
T18233111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Me |
E436594
|
entity |
| Predicate | leadSingle |
P15292
|
FINISHED |
| Object | Bittersweet |
—
|
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 | Statement: [Back to Me, leadSingle, Bittersweet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bittersweet Context triple: [Back to Me, leadSingle, Bittersweet]
-
A.
Bittersweet
"Bittersweet" is a graphic art book by illustrator Noma Bar, showcasing his distinctive use of negative space and bold, minimalist imagery.
-
B.
Bittersweet
chosen
"Bittersweet" is a dance-pop single by English singer Sophie Ellis-Bextor, known for its shimmering electronic production and bittersweet lyrical themes.
-
C.
Bittersweet
"Bittersweet" is a Grammy-winning R&B ballad by Fantasia Barrino that reflects on the lingering emotions of a past relationship.
-
D.
Bittersweet
Bittersweet is a studio album by Australian country singer-songwriter Kasey Chambers, noted for its emotionally rich songwriting and roots-influenced sound.
-
E.
Bittersweet
"Bittersweet" is a song featured on James Taylor's 2002 studio album "October Road."
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b414308190bc7dd8e73c0a362c |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.