Triple
T56754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockefeller Foundation |
E1122
|
entity |
| Predicate | funder |
P154
|
FINISHED |
| Object | non-governmental organizations |
—
|
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: non-governmental organizations | Statement: [Rockefeller Foundation, funder, non-governmental organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: funder Context triple: [Rockefeller Foundation, funder, non-governmental organizations]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
founder
Indicates that an entity established, created, or started another entity such as an organization, institution, or company.
-
C.
funds
chosen
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
D.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
E.
initiator
Indicates the entity that starts, triggers, or causes an action, event, or process to occur.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b915c9881908c798f4dacb39f1d |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac6799c8190b508933acc0a4c7d |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.