Triple
T32223986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lectures on the Executive Department |
E823144
|
entity |
| Predicate | isPartOfCurriculumAt |
P195933
|
FINISHED |
| Object | Harvard Law School |
—
|
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: Harvard Law School | Statement: [Lectures on the Executive Department, isPartOfCurriculumAt, Harvard Law School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCurriculumAt Context triple: [Lectures on the Executive Department, isPartOfCurriculumAt, Harvard Law School]
-
A.
isStudiedIn
Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
-
B.
isPartOfCourse
chosen
Indicates that something (such as a module, lesson, or component) belongs to and is included within a specific course.
-
C.
isCourse
Indicates that an entity functions as or qualifies as a course within a given context or system.
-
D.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
E.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
- 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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 1, 2026, 12:38 a.m.