Triple
T19451646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jet Black for iPhone 7 |
E486625
|
entity |
| Predicate | targetPerception |
P17784
|
FINISHED |
| Object | luxury aesthetic |
—
|
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: luxury aesthetic | Statement: [Jet Black for iPhone 7, targetPerception, luxury aesthetic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetPerception Context triple: [Jet Black for iPhone 7, targetPerception, luxury aesthetic]
-
A.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
B.
targetLook
Indicates that one entity directs its gaze or visual focus toward another entity as a target.
-
C.
publicPerception
chosen
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
D.
viewOnPerception
Indicates a relationship where one entity expresses or embodies a particular stance, interpretation, or opinion about the nature or process of perception.
-
E.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63392aab08190aab09b7c356e5b10 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.