Triple
T20732995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Henry Davis ’86 Professor of American History |
E509617
|
entity |
| Predicate | associatedClassYear |
P141295
|
FINISHED |
| Object | Class of 1886 |
—
|
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: Class of 1886 | Statement: [George Henry Davis ’86 Professor of American History, associatedClassYear, Class of 1886]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedClassYear Context triple: [George Henry Davis ’86 Professor of American History, associatedClassYear, Class of 1886]
-
A.
applicationYear
Indicates the year in which an application was submitted or made.
-
B.
typicalClassYear
Indicates the usual or expected academic year level associated with an entity, such as when a course is typically taken or a program is normally completed.
-
C.
associatedWithInductionYear
Indicates that an entity is linked to a specific year in which an induction (such as into a group, hall of fame, or organization) took place.
-
D.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
E.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
- F. None of above. chosen
Provenance (4 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ee49a48190876fa05eb291e54e |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:31 p.m.