Triple
T22210813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Jones |
E548938
|
entity |
| Predicate | hasAcademicOrProfessionalQualificationLevel |
P122287
|
FINISHED |
| Object | doctoral-level |
—
|
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: doctoral-level | Statement: [Alfred Jones, hasAcademicOrProfessionalQualificationLevel, doctoral-level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicOrProfessionalQualificationLevel Context triple: [Alfred Jones, hasAcademicOrProfessionalQualificationLevel, doctoral-level]
-
A.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
B.
hasAcademicBackgroundIn
Indicates that an entity possesses formal education, training, or scholarly experience in a specified academic field or discipline.
-
C.
hasEducationalAchievement
chosen
Indicates that an entity has attained a specific level, degree, or form of formal educational accomplishment.
-
D.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
E.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2bcf748190a9721f0c9ae17e70 |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.