Triple
T30863320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Betts |
E786121
|
entity |
| Predicate | focusesOnOutreachTo |
P67233
|
FINISHED |
| Object | general public |
—
|
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: general public | Statement: [Bruce Betts, focusesOnOutreachTo, general public]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnOutreachTo Context triple: [Bruce Betts, focusesOnOutreachTo, general public]
-
A.
hasOutreachComponent
chosen
Indicates that something includes or is associated with an outreach-related element, activity, or component.
-
B.
focusesOnCommunity
Indicates that the subject prioritizes and directs attention or effort toward the well-being, needs, or development of a community.
-
C.
associatedOrganizationFocus
Indicates that an organization is linked to or concerned with a particular area of activity, topic, or domain as a primary focus.
-
D.
hasNotablePhilanthropicFocus
Indicates that an entity’s philanthropic activities are significantly directed toward a particular cause, issue, or beneficiary group.
-
E.
organizationFocus
Indicates the primary area of activity, mission, or specialization that an organization is oriented toward or concentrated on.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 29, 2026, 8:47 p.m.