Triple
T1664757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire (film) |
E35984
|
entity |
| Predicate | projectionSpeed |
P13562
|
FINISHED |
| Object | 16 frames per second |
—
|
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: 16 frames per second | Statement: [Empire (film), projectionSpeed, 16 frames per second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectionSpeed Context triple: [Empire (film), projectionSpeed, 16 frames per second]
-
A.
parallax
Indicates the apparent shift in an object’s position relative to a background when observed from two different viewpoints or at two different times.
-
B.
speed
chosen
Indicates the rate at which an entity moves or changes position over time.
-
C.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
D.
plane
Indicates that an entity is a flat, two-dimensional surface extending infinitely in all directions within its dimension.
-
E.
visualEffect
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.