Triple
T24482920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip W. Crosby |
E617426
|
entity |
| Predicate | didNotCompleteDegreeAt |
P7334
|
FINISHED |
| Object | Ohio College of Podiatric Medicine |
—
|
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: Ohio College of Podiatric Medicine | Statement: [Philip W. Crosby, didNotCompleteDegreeAt, Ohio College of Podiatric Medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotCompleteDegreeAt Context triple: [Philip W. Crosby, didNotCompleteDegreeAt, Ohio College of Podiatric Medicine]
-
A.
didNotGraduateFrom
chosen
Indicates that an entity was once associated with an educational institution but did not successfully complete a program of study or receive a degree from it.
-
B.
nonDegreeGranting
Indicates that the institution or program does not confer formal academic degrees.
-
C.
requiresGraduation
Indicates that one entity must have completed a specified level of education or obtained a graduation credential as a prerequisite for the other entity.
-
D.
degreeOutcome
Indicates the academic qualification or result (such as a specific degree or classification) that is obtained as the outcome of a course of study or educational program.
-
E.
hasNoFormalTrainingIn
Indicates that an entity lacks official or structured education, instruction, or certification in a specified field or activity.
- 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_69e2d7f3ae788190b683394db15f220e |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29ed79ae481909263a3283a1b9391 |
completed | April 30, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:21 a.m.