Triple
T18830998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Wide |
E460526
|
entity |
| Predicate | chartingSingle |
P60345
|
FINISHED |
| Object | Follow Me |
—
|
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: Follow Me | Statement: [Double Wide, chartingSingle, Follow Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Follow Me Context triple: [Double Wide, chartingSingle, Follow Me]
-
A.
Follow Me
"Follow Me" is a song by Paul McCartney from his 2005 studio album "Chaos and Creation in the Backyard," noted for its intimate, reflective tone and melodic simplicity.
-
B.
Follow Me
"Follow Me" is a track from the Christian rock band Heartland, known for its melodic style and faith-centered lyrics.
-
C.
Follow Me
"Follow Me" is a 2001 soft rock/pop single by American musician Uncle Kracker that became his breakthrough hit and remains his most recognizable song.
-
D.
Follow Me
Follow Me is a title that may refer to various creative works, such as films, songs, or books, depending on the context.
-
E.
Follow Me
chosen
"Follow Me" is a song by the American country duo Double Wide, recognized as one of their more prominent recordings.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9992bb081908ba517a5c9d93ef3 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.