Triple
T841379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Presidential Personnel |
E18184
|
entity |
| Predicate | hasTypeOfAppointment |
P12376
|
FINISHED |
| Object | Senate-confirmed positions |
—
|
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: Senate-confirmed positions | Statement: [Office of Presidential Personnel, hasTypeOfAppointment, Senate-confirmed positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfAppointment Context triple: [Office of Presidential Personnel, hasTypeOfAppointment, Senate-confirmed positions]
-
A.
appointmentType
chosen
Indicates the specific category or nature of an appointment associated with an entity or event.
-
B.
canConfirmAppointments
Indicates that an entity has the ability or permission to confirm scheduled appointments.
-
C.
appointmentBy
Indicates that one entity is appointed or designated to a role, position, or task by another entity.
-
D.
requiresForHeadAppointment
Indicates that a certain condition, qualification, or prior role must be fulfilled in order for an entity to be appointed as the head of something.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe6f0dc8190a1bebb5e21f4ceac |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7dfc5c8190890c9df485d73a86 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.