Triple
T34858370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Journey to a Star |
E1004787
|
entity |
| Predicate | filmGenreOfIntroduction |
P93695
|
FINISHED |
| Object | musical film |
—
|
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: musical film | Statement: [A Journey to a Star, filmGenreOfIntroduction, musical film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmGenreOfIntroduction Context triple: [A Journey to a Star, filmGenreOfIntroduction, musical film]
-
A.
sourceFilmGenre
chosen
Indicates that a film is classified as belonging to a particular genre.
-
B.
filmGenreOfRelatedWork
Indicates that a work is related to another work through sharing or being associated with the same film genre.
-
C.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
D.
filmGenreOfParentWork
Indicates that a specified film genre is the genre of the parent (original or overarching) work from which another work is derived.
-
E.
tvGenre
Indicates the genre or category to which a television show or program belongs.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.