Triple
T24625276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomer Esiason Foundation |
E609520
|
entity |
| Predicate | hasOutreachChannel |
P67233
|
FINISHED |
| Object | public events |
—
|
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: public events | Statement: [Boomer Esiason Foundation, hasOutreachChannel, public events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutreachChannel Context triple: [Boomer Esiason Foundation, hasOutreachChannel, public events]
-
A.
hasOutreachComponent
chosen
Indicates that something includes or is associated with an outreach-related element, activity, or component.
-
B.
hasApproachChannel
Indicates that one entity provides or is associated with a designated approach channel used for access, navigation, or entry to another entity.
-
C.
hasMarketingChannel
Indicates that an entity utilizes or is associated with a particular marketing channel for promotion or communication.
-
D.
hasCustomerServiceChannel
Indicates that an entity provides or is associated with a specific channel or medium through which customer service interactions can occur.
-
E.
hasMediaOutlet
Indicates that one entity possesses, controls, or is associated with a media outlet (such as a newspaper, TV channel, or online news platform).
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.