Triple
T17784371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greeting |
E443978
|
entity |
| Predicate | hasCameraTechnique |
P125595
|
FINISHED |
| Object | slow tracking shot |
—
|
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: slow tracking shot | Statement: [The Greeting, hasCameraTechnique, slow tracking shot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCameraTechnique Context triple: [The Greeting, hasCameraTechnique, slow tracking shot]
-
A.
hasCamera
Indicates that an entity is equipped with or possesses a camera.
-
B.
hasCameraWork
chosen
Indicates that an entity features or involves specific camera operation or cinematographic techniques performed by another entity.
-
C.
cameraTechnology
Indicates the type or characteristics of camera-related technology associated with an entity.
-
D.
hasTechnique
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
E.
hasPhotogenicFeature
Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48791dec0819090d6e88449389fc0 |
completed | April 19, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.