Triple
T32434517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibson ES-335 |
E828819
|
entity |
| Predicate | sideMaterial |
P104293
|
FINISHED |
| Object | laminated maple |
—
|
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: laminated maple | Statement: [Gibson ES-335, sideMaterial, laminated maple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideMaterial Context triple: [Gibson ES-335, sideMaterial, laminated maple]
-
A.
sideType
Indicates the specific role or position an entity occupies within a two-sided or multi-sided relationship (e.g., buyer vs. seller, left vs. right side).
-
B.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
C.
hasBorderMaterial
Indicates that one entity uses or is composed of a specified material for its border or edge.
-
D.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
E.
featuresMaterialType
chosen
Indicates that an entity is characterized by or incorporates a specific type of material.
- 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_69f3491bf298819097b610f772d54a6d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2b0d31c8190adb202fdf21d4797 |
completed | May 3, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:55 a.m.