Triple
T18217940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheaton College (Massachusetts) |
E436212
|
entity |
| Predicate | artsPrograms |
P1975
|
FINISHED |
| Object | visual and performing arts programs |
—
|
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: visual and performing arts programs | Statement: [Wheaton College (Massachusetts), artsPrograms, visual and performing arts programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artsPrograms Context triple: [Wheaton College (Massachusetts), artsPrograms, visual and performing arts programs]
-
A.
artProgramName
Indicates the name assigned to an art-related program.
-
B.
inspiredPrograms
Indicates that one entity served as a source of inspiration or influence for the creation or design of another entity’s programs.
-
C.
hasCulturalProgram
Indicates that an entity offers or participates in an organized set of cultural activities, events, or initiatives.
-
D.
hasArtProgram
chosen
Indicates that an entity offers or participates in an art-related educational or creative program.
-
E.
coordinatesProgramsOf
Indicates that one entity organizes and manages the activities or operations of another entity’s programs to ensure they function in a unified and efficient manner.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e4782db4819093baee57f34be490 |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.