Triple
T16849504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reverse (song) |
E409632
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Reverse |
E409632
|
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: Reverse | Statement: [Reverse (song), hasTitle, Reverse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reverse Context triple: [Reverse (song), hasTitle, Reverse]
-
A.
Reverse
chosen
"Reverse" is a song by American rapper Vic Mensa that showcases his introspective lyricism and genre-blending hip-hop style.
-
B.
You in Reverse
"You in Reverse" is a 2006 indie rock album by Built to Spill, noted for its expansive guitar work and layered, atmospheric sound.
-
C.
Retrograde
Retrograde is a song by British electronic musician James Blake, known for its haunting vocals, minimalist production, and emotional intensity.
-
D.
Inversion
"Inversion" is a track from Ludwig Göransson's score for the 2020 science-fiction film *Tenet*, reflecting the movie’s time-bending, high-intensity atmosphere.
-
E.
Rewind
Rewind is a radio brand owned and operated by Audacy, Inc., featuring classic hits and nostalgic music programming.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b377b5d881909f0878dd9957f3bc |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.