Triple
T18953807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cai Guo-Qiang: I Want to Believe |
E463719
|
entity |
| Predicate | documentsArtistRole |
P133932
|
FINISHED |
| Object | Chinese contemporary artist |
—
|
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 contemporary artist | Statement: [Cai Guo-Qiang: I Want to Believe, documentsArtistRole, Chinese contemporary artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsArtistRole Context triple: [Cai Guo-Qiang: I Want to Believe, documentsArtistRole, Chinese contemporary artist]
-
A.
roleInArt
Indicates the specific function, position, or contribution an entity has within a particular artwork or artistic production.
-
B.
roleInArtScene
Indicates that an entity holds a particular function, position, or involvement within an artistic or cultural scene.
-
C.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
D.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
E.
roleInArtistCareers
Indicates the specific function or contribution an entity has had in shaping, supporting, or influencing one or more artists’ professional careers.
- F. None of above. chosen
Provenance (4 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d545f47881909110e6a92e86b384 |
completed | April 20, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, noon