Triple
T30428504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony MDR-1AM2 |
E774096
|
entity |
| Predicate | earpadMaterial |
P169764
|
FINISHED |
| Object | synthetic leather |
—
|
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: synthetic leather | Statement: [Sony MDR-1AM2, earpadMaterial, synthetic leather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earpadMaterial Context triple: [Sony MDR-1AM2, earpadMaterial, synthetic leather]
-
A.
earTipMaterial
Indicates the material from which the tip of an ear (or ear-like component) is made.
-
B.
earpadsReplaceable
Indicates that the earpads of an item can be removed and replaced, rather than being permanently fixed.
-
C.
earDescription
Indicates a textual description of the characteristics or appearance of an entity’s ear or ears.
-
D.
earCupDesign
Indicates the specific style or configuration of the ear cups in an audio device, such as how they are shaped, mounted, or positioned relative to the ears.
-
E.
earType
Indicates the specific kind or classification of ears associated with an entity.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6866aa9f88190b3e139fb374d6606 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 8:06 p.m.