Triple
T9676799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steppin' Out with My Baby |
E234172
|
entity |
| Predicate | musicalFilmGenre |
P45528
|
FINISHED |
| Object | MGM 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: MGM musical | Statement: [Steppin' Out with My Baby, musicalFilmGenre, MGM musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalFilmGenre Context triple: [Steppin' Out with My Baby, musicalFilmGenre, MGM musical]
-
A.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
B.
accompaniesGenreOfFilm
Indicates that one thing is typically associated with or goes along with a particular film genre.
-
C.
isFromMusicalFilm
Indicates that something originates from, or is part of, a musical film production.
-
D.
filmMusicBy
Indicates that a film’s musical score or soundtrack was composed or created by a particular person or group.
-
E.
hasMusicFilm
chosen
Indicates a relationship where a subject is associated with or linked to a film that features or centers around music.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c99ee0481908ead5f7112117c90 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:16 p.m.