Triple
T10674764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labyrinth (Expo 67 multi-screen film) |
E251586
|
entity |
| Predicate | projectionSystem |
P30533
|
FINISHED |
| Object | multi-image projection |
—
|
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: multi-image projection | Statement: [Labyrinth (Expo 67 multi-screen film), projectionSystem, multi-image projection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectionSystem Context triple: [Labyrinth (Expo 67 multi-screen film), projectionSystem, multi-image projection]
-
A.
projectionFormat
chosen
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
-
B.
projectionEffect
Indicates the visual or spatial transformation produced when something is projected from one surface, medium, or viewpoint onto another.
-
C.
coordinateSystem
Indicates that one entity defines or uses a particular spatial or reference coordinate system in relation to another entity.
-
D.
projectionAngle
Indicates the angle at which one entity is projected onto or relative to another reference (such as a line, plane, or direction).
-
E.
representationSystem
Indicates a system or framework used to represent, encode, or symbolize information, concepts, or entities.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb935ca88190b1312d3d53902af5 |
completed | April 9, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:09 p.m.