Triple
T9367190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Shine on Your Shoes |
E225430
|
entity |
| Predicate | musicalFilmGenreContext |
P68360
|
FINISHED |
| Object | backstage musical |
—
|
LITERAL 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: backstage musical | Statement: [A Shine on Your Shoes, musicalFilmGenreContext, backstage musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalFilmGenreContext Context triple: [A Shine on Your Shoes, musicalFilmGenreContext, backstage musical]
-
A.
accompaniesGenreOfFilm
Indicates that one thing is typically associated with or goes along with a particular film genre.
-
B.
isFromMusicalFilm
chosen
Indicates that something originates from, or is part of, a musical film production.
-
C.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
D.
hasMusicFilm
Indicates a relationship where a subject is associated with or linked to a film that features or centers around music.
-
E.
filmMusicBy
Indicates that a film’s musical score or soundtrack was composed or created by a particular person or group.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5042c89c8190994b12cf7600c366 |
completed | April 1, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.