Triple
T30949482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 50 |
E788494
|
entity |
| Predicate | selfieScreen |
P170825
|
FINISHED |
| Object | downward-tilting 180-degree screen |
—
|
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: downward-tilting 180-degree screen | Statement: [Nikon Z 50, selfieScreen, downward-tilting 180-degree screen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selfieScreen Context triple: [Nikon Z 50, selfieScreen, downward-tilting 180-degree screen]
-
A.
hasOuterSelfieCamera
Indicates that an entity (typically a device) is equipped with a front-facing camera intended for taking selfies.
-
B.
hasInnerSelfieCamera
Indicates that an object (typically a device) is equipped with a front-facing or inward-facing selfie camera.
-
C.
screensAt
Indicates that one entity shows, projects, or displays another entity (such as a film, program, or content) on a screen or at a screening venue.
-
D.
screenDebut
Indicates the event or relationship in which an entity appears on screen for the first time in a film, television, or other visual media production.
-
E.
selfImage
Indicates an entity’s perception, evaluation, or mental representation of itself.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:53 p.m.