Triple
T14373869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Characters Edition Andy Warhol |
E356423
|
entity |
| Predicate | hasTrimMaterial |
P113786
|
FINISHED |
| Object | platinum-coated metal |
—
|
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: platinum-coated metal | Statement: [Great Characters Edition Andy Warhol, hasTrimMaterial, platinum-coated metal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrimMaterial Context triple: [Great Characters Edition Andy Warhol, hasTrimMaterial, platinum-coated metal]
-
A.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
B.
hasMaterialOption
Indicates that an entity can be made from, or is available in, one or more alternative materials.
-
C.
hasLiningMaterial
Indicates that one entity uses or contains another entity as the material forming its inner lining.
-
D.
hasTrimLineColor
Indicates that an entity has a specific color applied to the trim or outline portion of its visual representation.
-
E.
hasReconstructionMaterial
Indicates that something is associated with, composed of, or utilizes a particular material for its reconstruction.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:15 a.m.