Triple
T21419630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Absolute Zero |
E528400
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Take You There (Misty) |
E569200
|
NE FINISHED |
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: Take You There (Misty) | Statement: [Absolute Zero, hasTrack, Take You There (Misty)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take You There (Misty) Context triple: [Absolute Zero, hasTrack, Take You There (Misty)]
-
A.
Take You There
chosen
"Take You There" is a 2007 reggae-pop and R&B single by Sean Kingston that blends Caribbean-influenced production with romantic lyrics and became one of his early mainstream hits.
-
B.
Take You Away
"Take You Away" is a song featured on Michael Bublé’s studio album "Nobody but Me."
-
C.
Take It There
"Take It There" is a song by the American new wave band Game Theory, known for their jangly guitar sound and literate power pop style.
-
D.
You Can't Take Me
"You Can't Take Me" is a country song recorded by the American duo Double Wide.
-
E.
Take Me Somewhere Nice
"Take Me Somewhere Nice" is a melancholic, atmospheric song by Scottish post-rock band Mogwai, known for its introspective lyrics and slow-building, cinematic sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2ccddc08190b4f66fa6ccda41e2 |
completed | April 22, 2026, 11:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2a337f88190a1d29604cc0641cd |
completed | May 17, 2026, 1:29 p.m. |
Created at: April 16, 2026, 5:47 p.m.