Triple
T23002688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Day |
E572673
|
entity |
| Predicate | chronologicallyFollows |
P6702
|
FINISHED |
| Object | Sweetest Thing |
—
|
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: Sweetest Thing | Statement: [Beautiful Day, chronologicallyFollows, Sweetest Thing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweetest Thing Context triple: [Beautiful Day, chronologicallyFollows, Sweetest Thing]
-
A.
The Sweetest Thing
chosen
The Sweetest Thing is a 2002 romantic comedy film starring Cameron Diaz, Christina Applegate, and Selma Blair that follows three friends navigating love and relationships with raunchy, irreverent humor.
-
B.
Sweet Thing
"Sweet Thing" is a soulful 1975 R&B ballad by Chaka Khan (with Rufus) that became one of her signature hits and a classic of the genre.
-
C.
Sweetheart
Sweetheart is a 2019 survival horror film in which a young woman stranded on a deserted island must confront a terrifying sea monster.
-
D.
Sweetheart
"Sweetheart" is a song featured on the album "#1's."
-
E.
Sweetheart
Sweetheart is a track from the 2006 album "Life in 1472" by Jermaine Dupri.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183549bdc81908fdcd44e2c92f7c4 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.