Triple
T21723269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Do (Cherish You) |
E536213
|
entity |
| Predicate | originallyRecordedBy |
P11499
|
FINISHED |
| Object | Mark Wills |
—
|
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: Mark Wills | Statement: [I Do (Cherish You), originallyRecordedBy, Mark Wills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Wills Context triple: [I Do (Cherish You), originallyRecordedBy, Mark Wills]
-
A.
Mark Wills
chosen
Mark Wills is an American country music singer known for his late-1990s and early-2000s hits on the Billboard country charts.
-
B.
Todd Eldridge
Todd Eldridge is an American former competitive figure skater best known for being a six-time U.S. national champion and the 1996 World champion.
-
C.
Dylan Scott
Dylan Scott is an American country music singer and songwriter known for hits like "My Girl" and "Hooked."
-
D.
Lee Brice
Lee Brice is an American country music singer-songwriter known for hits like "Love Like Crazy" and "I Don't Dance."
-
E.
Cole Swindell
Cole Swindell is an American country music singer and songwriter known for hits like "Chillin' It" and "You Should Be Here."
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.