Triple
T11941649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodak Brownie camera |
E284191
|
entity |
| Predicate | viewingOrientation |
P77331
|
FINISHED |
| Object | waist-level viewing |
—
|
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: waist-level viewing | Statement: [Kodak Brownie camera, viewingOrientation, waist-level viewing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewingOrientation Context triple: [Kodak Brownie camera, viewingOrientation, waist-level viewing]
-
A.
performanceOrientation
Indicates a relationship where an entity is characterized by a focus on achieving high performance, results, or measurable outcomes in its activities or behavior.
-
B.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
-
C.
currentOrientation
Indicates the present directional alignment or facing angle of an entity relative to a reference frame or coordinate system.
-
D.
hasOrientation
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
E.
orientationType
chosen
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.