Triple
T18614206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Goes |
E454975
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Sam Smith |
—
|
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: Sam Smith | Statement: [Love Goes, artist, Sam Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Smith Context triple: [Love Goes, artist, Sam Smith]
-
A.
Sam Smith
chosen
Sam Smith is an English singer-songwriter known for their soulful pop ballads and powerful vocals, with multiple Grammy and Brit Awards to their name.
-
B.
Ed Sheeran
Ed Sheeran is an English singer-songwriter and musician known for his melodic pop hits, acoustic ballads, and global commercial success.
-
C.
Tom Odell
Tom Odell is an English singer-songwriter and pianist known for emotive, piano-driven pop songs such as his hit single "Another Love."
-
D.
George Ezra
George Ezra is an English singer-songwriter known for his deep, soulful voice and hit songs like "Budapest" and "Shotgun."
-
E.
Ellie Goulding
Ellie Goulding is an English singer-songwriter known for her ethereal vocals and synth-pop hits such as "Lights" and "Love Me Like You Do."
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d03feb88190bbd8889273d82f7f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.