Triple
T13735181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relayted |
E329923
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Faded High (Reprise) |
E329926
|
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: Faded High (Reprise) | Statement: [Relayted, hasPart, Faded High (Reprise)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faded High (Reprise) Context triple: [Relayted, hasPart, Faded High (Reprise)]
-
A.
Faded High
chosen
"Faded High" is a smooth, atmospheric soft-rock/R&B track by the indie supergroup Gayngs, showcasing their signature mellow, synth-laden sound.
-
B.
Fading Away
"Fading Away" is a song by Walking Man, likely reflecting the band's style of introspective, emotionally driven rock music.
-
C.
Faded Love
"Faded Love" is a classic country song, popularized by Patsy Cline, known for its mournful melody and themes of lost romance.
-
D.
Fade Away
"Fade Away" is a song titled as a part or track within the larger musical work "The River."
-
E.
Faded in the Booth
"Faded in the Booth" is a mixtape by Atlanta rapper Young Nudy that showcases his hazy, melodic trap style and street-oriented lyricism.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d66cb088190be2621753d0a6740 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.