Triple
T31589180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenan family |
E806041
|
entity |
| Predicate | majorEndowmentType |
P14891
|
FINISHED |
| Object | endowed professorships |
—
|
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: endowed professorships | Statement: [Kenan family, majorEndowmentType, endowed professorships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorEndowmentType Context triple: [Kenan family, majorEndowmentType, endowed professorships]
-
A.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
B.
endowmentAmount
Indicates the specific monetary value or quantity provided as an endowment in the relationship.
-
C.
hasEndowmentType
chosen
Indicates that an entity is associated with a particular category or type of endowment.
-
D.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
E.
grantmakingType
Indicates the specific category or method by which grants are awarded or administered in a grantmaking relationship.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: April 30, 2026, 10:27 p.m.