Triple
T35558079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheldon Emery |
E1027555
|
entity |
| Predicate | hasNamedProfessorship |
P132444
|
FINISHED |
| Object | Sheldon Emery Professorship of Chemistry |
—
|
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: Sheldon Emery Professorship of Chemistry | Statement: [Sheldon Emery, hasNamedProfessorship, Sheldon Emery Professorship of Chemistry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamedProfessorship Context triple: [Sheldon Emery, hasNamedProfessorship, Sheldon Emery Professorship of Chemistry]
-
A.
isProfessorshipIn
Indicates that a professorship position is associated with or belongs to a specific academic field, department, or institution.
-
B.
namedProfessorship
chosen
Indicates that an individual holds a professorial position that has been endowed and formally named, typically in honor of a person or organization.
-
C.
hasAcademicChairNamedAfter
Indicates that an academic chair or professorship is named in honor of a particular person or entity.
-
D.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
E.
hasUniversityFaculty
Indicates that a university or academic institution employs or is associated with one or more faculty members.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: May 3, 2026, 4:04 p.m.