Triple
T32039430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1959 Chevrolet Impala lowrider (inspired design) |
E818181
|
entity |
| Predicate | hasPaintStyle |
P1609
|
FINISHED |
| Object | metallic paint |
—
|
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: metallic paint | Statement: [1959 Chevrolet Impala lowrider (inspired design), hasPaintStyle, metallic paint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaintStyle Context triple: [1959 Chevrolet Impala lowrider (inspired design), hasPaintStyle, metallic paint]
-
A.
isPainted
Indicates that one entity has applied paint to cover or decorate the surface of another entity.
-
B.
hasPowerStyle
Indicates that one entity possesses or exhibits a particular style or manner of using power in relation to another entity or context.
-
C.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
D.
hasWallPaintingStyle
Indicates that an entity features or is associated with a particular style or type of wall painting.
-
E.
hasPaintShop
Indicates that an entity operates, contains, or is associated with a paint shop facility or service.
- 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: May 1, 2026, 12:19 a.m.