Triple
T29402399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Are Too Beautiful |
E745680
|
entity |
| Predicate | usedAsFilmSong |
P42255
|
FINISHED |
| Object | Hallelujah, I’m a Bum |
—
|
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: Hallelujah, I’m a Bum | Statement: [You Are Too Beautiful, usedAsFilmSong, Hallelujah, I’m a Bum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsFilmSong Context triple: [You Are Too Beautiful, usedAsFilmSong, Hallelujah, I’m a Bum]
-
A.
songFeaturedInFilm
chosen
Indicates that a particular song is included or used within a specific film.
-
B.
songRepopularizedByFilm
Indicates that a previously released song regained popularity as a result of being featured in a film.
-
C.
parallelSongInFilm
Indicates that a song is used in a film in a way that parallels or mirrors another narrative, emotional, or visual element within that film.
-
D.
usedAsSingAlongAnthemIn
Indicates that something (typically a song) is employed as a sing-along anthem in a particular context, event, or setting.
-
E.
isSoundtrackOf
Indicates that a piece of music or collection of music serves as the soundtrack for a particular work, such as a film, game, or show.
- F. None of above.
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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 28, 2026, 2:51 p.m.