Triple
T36846273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Kolisi |
E910555
|
entity |
| Predicate | focusAreaOfPhilanthropy |
P9241
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [Rachel Kolisi, focusAreaOfPhilanthropy, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusAreaOfPhilanthropy Context triple: [Rachel Kolisi, focusAreaOfPhilanthropy, education]
-
A.
regionOfPhilanthropy
Indicates the geographic area or location where philanthropic activities, donations, or charitable efforts are directed or take place.
-
B.
fieldOfPhilanthropy
chosen
Indicates that an entity is engaged in or associated with a particular area or domain of philanthropic activity.
-
C.
genreOfPhilanthropy
Indicates the specific type or category of philanthropic activity to which an act, initiative, or organization belongs.
-
D.
ethnicFocusOfPhilanthropy
Indicates that the philanthropic activity is specifically directed toward or focused on a particular ethnic group.
-
E.
relatedToPhilanthropyOf
Indicates a relationship where one entity is connected to, involved in, or associated with the philanthropic activities, initiatives, or charitable contributions of another entity.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:13 p.m.