Triple
T20436639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offramp |
E501265
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Are You Going With 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: Are You Going With Me? | Statement: [Offramp, hasTrack, Are You Going With Me?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Are You Going With Me? Context triple: [Offramp, hasTrack, Are You Going With Me?]
-
A.
Are You Going With Me?
chosen
"Are You Going With Me?" is a renowned jazz fusion composition by the Pat Metheny Group, celebrated for its atmospheric synth textures, lyrical guitar work, and extended improvisation.
-
B.
Where Are You Going
"Where Are You Going" is a mellow, introspective rock song by Dave Matthews Band, released in 2002 and known for its reflective lyrics and prominent acoustic guitar.
-
C.
I Want to Go with You
"I Want to Go with You" is a 1966 country song and hit single by Eddy Arnold that became one of his signature recordings.
-
D.
Should I Go
"Should I Go" is a song by American singer Beyoncé from her 2003 debut solo album "Dangerously in Love."
-
E.
Where Will You Go
"Where Will You Go" is a song by the American R&B group Babyface from their album "Tender Lover."
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.