Triple
T24417911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquesans |
E615636
|
entity |
| Predicate | tattooStyle |
P1851
|
FINISHED |
| Object | geometric patterns |
—
|
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: geometric patterns | Statement: [Marquesans, tattooStyle, geometric patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tattooStyle Context triple: [Marquesans, tattooStyle, geometric patterns]
-
A.
notableTattoo
Indicates that an entity has a tattoo that is distinctive, prominent, or otherwise noteworthy.
-
B.
artisticStyle
chosen
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
C.
hasTattoo
Indicates that one entity bears a tattoo on their body.
-
D.
inTheStyleOf
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29587b2308190907886b82d8c5129 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.