Triple
T18953775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cai Guo-Qiang: I Want to Believe |
E463719
|
entity |
| Predicate | exhibitionStartYear |
P33014
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Cai Guo-Qiang: I Want to Believe, exhibitionStartYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitionStartYear Context triple: [Cai Guo-Qiang: I Want to Believe, exhibitionStartYear, 2008]
-
A.
exhibitionStartDate
Indicates the date on which an exhibition begins or is first opened to the public.
-
B.
yearExhibited
chosen
Indicates the specific year in which an entity (such as an artwork, object, or performance) was publicly exhibited or displayed.
-
C.
artworkInstallationYear
Indicates the year in which an artwork was installed or put in place at a particular location.
-
D.
exhibitedDuring
Indicates that something was presented, displayed, or shown over the course of a specified time period or event.
-
E.
firstExhibited
Indicates the event or context in which something was publicly displayed or presented for the first time.
- 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_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. |
Created at: April 10, 2026, noon