Triple
T31721803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willard Mackey |
E809602
|
entity |
| Predicate | hasNamedProfessorshipAt |
P68951
|
FINISHED |
| Object | Johns Hopkins University |
—
|
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: Johns Hopkins University | Statement: [Willard Mackey, hasNamedProfessorshipAt, Johns Hopkins University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamedProfessorshipAt Context triple: [Willard Mackey, hasNamedProfessorshipAt, Johns Hopkins University]
-
A.
isProfessorshipIn
Indicates that a professorship position is associated with or belongs to a specific academic field, department, or institution.
-
B.
isFacultyMemberOf
Indicates that a person serves as a faculty member (e.g., professor, lecturer, or instructor) within a particular institution or organizational unit.
-
C.
hasAcademicChairNamedAfter
chosen
Indicates that an academic chair or professorship is named in honor of a particular person or entity.
-
D.
hasFacultyIn
Indicates that an institution or organization has faculty members associated with or working in a particular department, field, or academic unit.
-
E.
hasDoctoralDegreeFrom
Indicates that an individual holds a doctoral-level academic degree that was awarded by a specified 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: April 30, 2026, 11:18 p.m.