Triple
T31589189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenan family |
E806041
|
entity |
| Predicate | endowedChairType |
P68951
|
FINISHED |
| Object | Kenan Professorships at UNC-Chapel Hill |
—
|
NE NERFINISHED |
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: Kenan Professorships at UNC-Chapel Hill | Statement: [Kenan family, endowedChairType, Kenan Professorships at UNC-Chapel Hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endowedChairType Context triple: [Kenan family, endowedChairType, Kenan Professorships at UNC-Chapel Hill]
-
A.
endowedChairDiscipline
Indicates the academic discipline or field associated with an endowed chair position.
-
B.
academicChair
Indicates that one entity serves as the academic chair (leader or head) of a department, program, or academic unit associated with the other entity.
-
C.
namedProfessorship
Indicates that an individual holds a professorial position that has been endowed and formally named, typically in honor of a person or organization.
-
D.
hasAcademicChairNamedAfter
chosen
Indicates that an academic chair or professorship is named in honor of a particular person or entity.
-
E.
namedChairAt
Indicates that a person holds a specific named chair or endowed professorship position at an institution.
- 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_69f6a82eb2848190b5329618001a90fd |
completed | May 3, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:27 p.m.