Triple
T31598061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perry Wright |
E806271
|
entity |
| Predicate | cameraPerception |
P172006
|
FINISHED |
| Object | publicly ideal husband |
—
|
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: publicly ideal husband | Statement: [Perry Wright, cameraPerception, publicly ideal husband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameraPerception Context triple: [Perry Wright, cameraPerception, publicly ideal husband]
-
A.
cameraSystem
Indicates a relationship where an entity functions as or is part of a camera-based monitoring or imaging system.
-
B.
publicPerception
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
C.
vision
Indicates that an entity perceives another entity or object visually, using sight.
-
D.
sensorArchitecture
Indicates the structural design or configuration of a sensor system, including how its components are organized and interact to perform sensing functions.
-
E.
cameraOperator
Indicates that one entity operates, controls, or is responsible for handling the camera for another entity or production.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:31 p.m.