Triple
T9802044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RealD 3D |
E237860
|
entity |
| Predicate | glassesType |
P55795
|
FINISHED |
| Object | passive polarized glasses |
—
|
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: passive polarized glasses | Statement: [RealD 3D, glassesType, passive polarized glasses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glassesType Context triple: [RealD 3D, glassesType, passive polarized glasses]
-
A.
hasEyeWear
Indicates that one entity is wearing or equipped with some form of eyewear (such as glasses, goggles, or similar eye accessories).
-
B.
lensType
chosen
Indicates the specific kind or category of lens associated with or used by an entity.
-
C.
eyeType
Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
-
D.
earType
Indicates the specific kind or classification of ears associated with an entity.
-
E.
sightType
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.