Triple
T2877589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Bernstein |
E56913
|
entity |
| Predicate | hasAcademicMajor |
P39964
|
FINISHED |
| Object | broadcast journalism (University of Maryland, College Park) |
—
|
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: broadcast journalism (University of Maryland, College Park) | Statement: [Bonnie Bernstein, hasAcademicMajor, broadcast journalism (University of Maryland, College Park)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicMajor Context triple: [Bonnie Bernstein, hasAcademicMajor, broadcast journalism (University of Maryland, College Park)]
-
A.
hasAcademicBackgroundIn
Indicates that an entity possesses formal education, training, or scholarly experience in a specified academic field or discipline.
-
B.
collegeMajor
chosen
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
C.
hasSubjectOfStudy
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
-
D.
hasAcademicDepartment
Indicates that an institution or organization includes or is associated with a specific academic department.
-
E.
hasMajorUniversity
Indicates that a location or region contains at least one prominent, large, or academically significant university.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe007329c8190b0bc1851c7307124 |
completed | March 7, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.