Triple
T130035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priscilla Chan |
E2633
|
entity |
| Predicate | foundedOrganizationType |
P5179
|
FINISHED |
| Object | philanthropic organization |
—
|
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: philanthropic organization | Statement: [Priscilla Chan, foundedOrganizationType, philanthropic organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedOrganizationType Context triple: [Priscilla Chan, foundedOrganizationType, philanthropic organization]
-
A.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
sponsoringOrganizationType
Indicates the kind or category of organization that provides sponsorship or support in the described relationship or activity.
-
C.
parentOrganizationType
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
-
D.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
E.
controlledOrganization
Indicates that one entity has the authority to direct, manage, or significantly influence the operations and decisions of another organization.
- F. None of above. chosen
Provenance (4 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257845c548190bfb49409988d1c57 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564da96c8190aa8204de25229c15 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.