Triple
T24927260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before Sunset |
E618890
|
entity |
| Predicate | primaryShootingFormat |
P71089
|
FINISHED |
| Object | 35 mm 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: 35 mm film | Statement: [Before Sunset, primaryShootingFormat, 35 mm film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryShootingFormat Context triple: [Before Sunset, primaryShootingFormat, 35 mm film]
-
A.
primaryShooter
Indicates that the subject is the main individual responsible for firing a weapon in the referenced event or context.
-
B.
playedFormat
chosen
Indicates that an entity (such as a game, show, or media content) is or was presented, delivered, or experienced in a particular format (such as digital, physical, live, or specific media type).
-
C.
shotType
Indicates the specific kind or category of shot used or taken in a given context (e.g., in film, photography, or sports).
-
D.
shootingStyle
Indicates the characteristic manner or technique with which an entity performs a shooting action (e.g., in sports or photography).
-
E.
preferredShotSelection
Indicates the type of shot or shooting option that an entity most often chooses or favors over others.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 18, 2026, 5:29 a.m.