Triple
T27953935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Responsive Eye |
E703501
|
entity |
| Predicate | numberOfArtistsExhibited |
P143910
|
FINISHED |
| Object | more than 90 |
—
|
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: more than 90 | Statement: [The Responsive Eye, numberOfArtistsExhibited, more than 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArtistsExhibited Context triple: [The Responsive Eye, numberOfArtistsExhibited, more than 90]
-
A.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
B.
hasNotableArtistExhibited
Indicates that a notable or distinguished artist has exhibited their work at, or in association with, the referenced entity.
-
C.
exhibitorsNumber
chosen
Indicates the total count of exhibitors associated with a given event or exhibition.
-
D.
exhibitedFor
Indicates that something is displayed, presented, or shown for the benefit, use, or consideration of a particular audience, purpose, or entity.
-
E.
representedArtists
Indicates that one entity (typically an agent, gallery, or organization) serves as the professional representative for another entity (typically an artist) in managing or promoting their work.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69ff2eb19ad88190915fbbe08e8bc84e |
completed | May 9, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69ff2db5dd608190b7b7ba95f19c276c |
completed | May 9, 2026, 12:51 p.m. |
Created at: April 27, 2026, 7:26 p.m.