Triple
T27463194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thaddeus Bullard |
E692804
|
entity |
| Predicate | charityAffiliation |
P8514
|
FINISHED |
| Object | United Way Suncoast |
—
|
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: United Way Suncoast | Statement: [Thaddeus Bullard, charityAffiliation, United Way Suncoast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charityAffiliation Context triple: [Thaddeus Bullard, charityAffiliation, United Way Suncoast]
-
A.
associatedCharity
chosen
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
-
B.
nonProfitAffiliation
Indicates that an entity is formally associated with, supported by, or part of a nonprofit organization.
-
C.
hasCharityConnection
Indicates a relationship in which one entity is connected to another through charitable activities, support, or affiliation.
-
D.
hasCharitableFoundation
Indicates that an entity maintains or is associated with a charitable foundation, typically for philanthropic or nonprofit activities.
-
E.
associatedWithPhilanthropyIn
Indicates a relationship where an entity is involved in or connected to philanthropic activities within a specific place or context.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62dfb084881909cdf5ac0324d1f92 |
completed | May 2, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:50 p.m.