Triple
T20932018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close-Up |
E515492
|
entity |
| Predicate | hasFilmStructure |
P141734
|
FINISHED |
| Object | nonlinear |
—
|
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: nonlinear | Statement: [Close-Up, hasFilmStructure, nonlinear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmStructure Context triple: [Close-Up, hasFilmStructure, nonlinear]
-
A.
hasFilmStyle
Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
-
B.
hasTheatricalFilm
Indicates that an entity has an associated theatrical film adaptation, version, or release.
-
C.
hasInteractiveFilm
Indicates that an entity is associated with, offers, or features an interactive film experience.
-
D.
hasDramaticStructure
Indicates that something possesses or follows a specific dramatic structure, such as an organized sequence of narrative or theatrical elements (e.g., exposition, climax, resolution).
-
E.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
- F. None of above. chosen
Provenance (4 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:49 p.m.