Triple
T32957785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazu Temple Stele |
E843150
|
entity |
| Predicate | hasCalligrapher |
P19745
|
FINISHED |
| Object | Yan Zhenqing |
—
|
NE NERFINISHED |
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: Yan Zhenqing | Statement: [Mazu Temple Stele, hasCalligrapher, Yan Zhenqing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCalligrapher Context triple: [Mazu Temple Stele, hasCalligrapher, Yan Zhenqing]
-
A.
hasCalligraphy
Indicates that an entity possesses or is associated with calligraphy, such as having calligraphic writing, decoration, or stylistic features.
-
B.
hasHandwritingOf
chosen
Indicates that one entity’s handwriting style or written text is attributed to, or produced by, another entity.
-
C.
calligraphicUse
Indicates that one entity uses or applies another entity specifically for calligraphic purposes or in the practice of calligraphy.
-
D.
hasCalligraphyLanguage
Indicates that an entity’s calligraphy is written in, or associated with, a particular language.
-
E.
calligraphicSchool
Indicates that one entity is associated with, trained in, or belongs to a particular tradition or institution of calligraphy.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 1, 2026, 1:21 a.m.