Triple
T18440415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Sweeney |
E450511
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Anyone But You |
—
|
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: Anyone But You | Statement: [Sydney Sweeney, notableWork, Anyone But You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anyone But You Context triple: [Sydney Sweeney, notableWork, Anyone But You]
-
A.
Anyone But You
"Anyone But You" is a song featured on the album "Welcome to the Freakshow."
-
B.
Anyone But You
chosen
Anyone But You is a 2023 romantic comedy film starring Sydney Sweeney and Glen Powell that modernizes Shakespeare’s "Much Ado About Nothing" with a contemporary enemies-to-lovers storyline.
-
C.
Everything but You
"Everything but You" is a jazz standard popularized in the Duke Ellington revue and songbook, often performed in sophisticated big band and vocal jazz arrangements.
-
D.
Nobody But You
"Nobody But You" is a song featured on James Taylor's 1972 album *One Man Dog*.
-
E.
Nobody but You
"Nobody but You" is a country duet by Blake Shelton and Gwen Stefani that became a popular romantic hit upon its release in 2020.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0fda908190901a108fb9982a2d |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:30 a.m.