Triple
T20624063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parallel Lines |
E506771
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Fade Away and Radiate |
—
|
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: Fade Away and Radiate | Statement: [Parallel Lines, hasPart, Fade Away and Radiate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fade Away and Radiate Context triple: [Parallel Lines, hasPart, Fade Away and Radiate]
-
A.
Fade Away and Radiate
chosen
"Fade Away and Radiate" is a 1978 new wave track by Blondie, notable for its dark, atmospheric sound and Robert Fripp’s distinctive guitar work.
-
B.
Radiate
"Radiate" is a mellow, acoustic-driven love song by Jack Johnson, featured on his 2013 album *From Here to Now to You*.
-
C.
Fading Away
"Fading Away" is a song by Walking Man, likely reflecting the band's style of introspective, emotionally driven rock music.
-
D.
Fading
"Fading" is a song by Rihanna from her 2010 album *Loud*, known for its emotive lyrics about a relationship losing its spark.
-
E.
Fade Away
"Fade Away" is a song titled as a part or track within the larger musical work "The River."
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3d76c8190a8a5cb52bb9bfc2b |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.