Triple
T7090734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delftware ceramics |
E165186
|
entity |
| Predicate | imitated |
P31513
|
FINISHED |
| Object | Chinese blue-and-white porcelain |
—
|
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: Chinese blue-and-white porcelain | Statement: [Delftware ceramics, imitated, Chinese blue-and-white porcelain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imitated Context triple: [Delftware ceramics, imitated, Chinese blue-and-white porcelain]
-
A.
emulates
chosen
Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
-
B.
resembles
Indicates that one entity is similar in appearance, form, or characteristics to another.
-
C.
tricked
Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
-
D.
allegedImpostor
Indicates that one entity is claimed or suspected to be fraudulently posing as another entity.
-
E.
inspiredSong
Indicates that one entity (such as an event, person, or work) served as the creative inspiration or motivating influence for the creation of a particular song.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e53012b081908bf40541d85c82f1 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.