Triple
T3688757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard H. Baker Jr. Center for Public Policy |
E78291
|
entity |
| Predicate | coordinatesPrograms |
P42044
|
FINISHED |
| Object | lectures on public policy |
—
|
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: lectures on public policy | Statement: [Howard H. Baker Jr. Center for Public Policy, coordinatesPrograms, lectures on public policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinatesPrograms Context triple: [Howard H. Baker Jr. Center for Public Policy, coordinatesPrograms, lectures on public policy]
-
A.
coordinatesProgramsOf
chosen
Indicates that one entity organizes and manages the activities or operations of another entity’s programs to ensure they function in a unified and efficient manner.
-
B.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
C.
sponsoredPrograms
Indicates that an entity provides financial or resource support to specific programs or initiatives.
-
D.
relatesToProgram
Indicates that one entity has a relevant connection, association, or involvement with a particular program.
-
E.
linkedProgram
Indicates that one program is associated or connected to another program in a meaningful or dependent way.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c960788190b73ede08658846aa |
completed | March 8, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.