Triple
T19953447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Angel You |
E479618
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Planet Waves |
—
|
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: Planet Waves | Statement: [You Angel You, album, Planet Waves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Planet Waves Context triple: [You Angel You, album, Planet Waves]
-
A.
Planet Waves
chosen
Planet Waves is a 1974 studio album by Bob Dylan, recorded with The Band and known for its intimate, reflective songs and warm, roots-rock sound.
-
B.
Waves
"Waves" is a melodic, gospel-influenced hip-hop song by Kanye West featuring Chris Brown and Kid Cudi, known for its soaring chorus and spiritual themes.
-
C.
Waves
The Waves is the nickname for the athletic teams that represent Pepperdine University in intercollegiate sports.
-
D.
Waves
Waves is a 2019 American drama film written and directed by Trey Edward Shults that follows a suburban African-American family coping with love, loss, and forgiveness.
-
E.
Waves
"Waves" is a smooth, atmospheric R&B song by Miguel that showcases his sensual vocals and genre-blending production.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aee23488190bd92c1593fbc241c |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.