Triple
T17210921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry F. Korth |
E417725
|
entity |
| Predicate | hasNotableStudentAudience |
P12602
|
FINISHED |
| Object | computer science undergraduates |
—
|
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: computer science undergraduates | Statement: [Henry F. Korth, hasNotableStudentAudience, computer science undergraduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableStudentAudience Context triple: [Henry F. Korth, hasNotableStudentAudience, computer science undergraduates]
-
A.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
B.
hasStudentInvolvement
Indicates that there is participation, engagement, or involvement of one or more students in the referenced activity, event, or entity.
-
C.
usesStudentsFor
Indicates that one entity employs or exploits students as a resource or means to carry out its activities or achieve its objectives.
-
D.
hasEducationalAudience
chosen
Indicates that something is intended for or directed toward a specific educational audience or learner group.
-
E.
notableStudent
Indicates that a person is a distinguished or particularly significant student of another individual or 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc5a51481908d5ea0f9a1e9aa8b |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.