Triple
T16877925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Music |
E421345
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Wavelength |
E999382
|
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: Wavelength | Statement: [Into the Music, follows, Wavelength]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wavelength Context triple: [Into the Music, follows, Wavelength]
-
A.
Wavelength
chosen
Wavelength is a landmark 1967 experimental film by Michael Snow, renowned for its minimalist structure and a 45-minute zoom across a loft space that profoundly influenced avant-garde cinema.
-
B.
Wavelengths
Wavelengths is the Toronto International Film Festival’s avant-garde and experimental cinema program, showcasing innovative and boundary-pushing works in film and video.
-
C.
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.
-
D.
Waves
The Waves is the nickname for the athletic teams that represent Pepperdine University in intercollegiate sports.
-
E.
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.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f8a1d48190ad829f86e235a1d0 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b4abd08190841c5bb0b0eaa177 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.