Triple
T28925767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Blue Sea (film score) |
E733637
|
entity |
| Predicate | composedForGenreOfFilm |
P83685
|
FINISHED |
| Object | shark 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: shark film | Statement: [Deep Blue Sea (film score), composedForGenreOfFilm, shark film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composedForGenreOfFilm Context triple: [Deep Blue Sea (film score), composedForGenreOfFilm, shark film]
-
A.
composedForDirector
Indicates that a musical or artistic work was specifically created for a particular director.
-
B.
accompaniesGenreOfFilm
chosen
Indicates that one thing is typically associated with or goes along with a particular film genre.
-
C.
combinesGenre
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
D.
featuredInFilmGenre
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
-
E.
genreOfWorkActedIn
Indicates that an entity is the genre category of a work in which another entity performed or acted.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 8:23 a.m.