Triple
T474475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinetoscope |
E9030
|
entity |
| Predicate | filmLoopConfiguration |
P13456
|
FINISHED |
| Object | endless loop |
—
|
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: endless loop | Statement: [Kinetoscope, filmLoopConfiguration, endless loop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmLoopConfiguration Context triple: [Kinetoscope, filmLoopConfiguration, endless loop]
-
A.
filmMovement
Indicates the cinematic movement or stylistic school with which a film is associated.
-
B.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
-
C.
filmLocationFor
Indicates a relationship where a specific place serves as the filming location for a particular film or production.
-
D.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
E.
narrativeFeature
Indicates that one element functions as a narrative-related characteristic, device, or structural component of another.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f039f3d88190a7c93ecbf1bf5f58 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edeed31881908cf43beed410572d |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.