Triple
T26310341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mondrian dress |
E661803
|
entity |
| Predicate | fashionEra |
P18647
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Mondrian dress, fashionEra, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fashionEra Context triple: [Mondrian dress, fashionEra, 1960s]
-
A.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
B.
stylePeriod
chosen
Indicates the stylistic or historical period with which an entity (such as an artwork, artifact, or performance) is associated.
-
C.
visualEra
Indicates the historical or stylistic period to which the visual appearance or design of something belongs.
-
D.
curatesEra
Indicates a relationship where an entity organizes, selects, or manages items, information, or works specifically associated with a particular historical or thematic era.
-
E.
inTheStyleOf
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ee7e6348190951e6f9647f5555b |
completed | May 2, 2026, 2:49 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:21 p.m.