Triple
T36028948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MFA from Yale University |
E1042204
|
entity |
| Predicate | offersConcentrationIn |
P2581
|
FINISHED |
| Object | painting and printmaking |
—
|
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: painting and printmaking | Statement: [MFA from Yale University, offersConcentrationIn, painting and printmaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersConcentrationIn Context triple: [MFA from Yale University, offersConcentrationIn, painting and printmaking]
-
A.
mayOfferConcentrationIn
Indicates that an educational program or institution is permitted to provide a specialized concentration or focus area within a broader field of study.
-
B.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
C.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
D.
offersMass
Indicates that one entity provides or makes available a certain mass or quantity of material or substance to another entity.
-
E.
offersProgramsIn
chosen
Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: May 3, 2026, 4:07 p.m.