Triple
T13964608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudge |
E335890
|
entity |
| Predicate | hasAcademicOutcome |
P73608
|
FINISHED |
| Object | admitted to Oxford |
—
|
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: admitted to Oxford | Statement: [Rudge, hasAcademicOutcome, admitted to Oxford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicOutcome Context triple: [Rudge, hasAcademicOutcome, admitted to Oxford]
-
A.
hasAlumniOutcome
chosen
Indicates that an entity has a specific outcome or post-completion status associated with its alumni.
-
B.
hasAcademicCharacter
Indicates that something possesses qualities, standards, or attributes associated with academic or scholarly work.
-
C.
hasAcademicBackgroundIn
Indicates that an entity possesses formal education, training, or scholarly experience in a specified academic field or discipline.
-
D.
hasAcademicRecognition
Indicates that an entity has received some form of academic honor, award, or formal recognition from an educational or scholarly institution.
-
E.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7e24f08190ba939a8044860033 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.