Triple
T7113733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezos Earth Fund |
E165765
|
entity |
| Predicate | endowmentPledge |
P73589
|
FINISHED |
| Object | 10000000000 USD |
—
|
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: 10000000000 USD | Statement: [Bezos Earth Fund, endowmentPledge, 10000000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endowmentPledge Context triple: [Bezos Earth Fund, endowmentPledge, 10000000000 USD]
-
A.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
B.
philanthropicPledge
chosen
Indicates a commitment by an entity to donate resources, typically money or assets, for charitable or public-benefit purposes.
-
C.
philanthropicDonation
Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
-
D.
endowmentCurrency
Indicates the type of currency in which an endowment is denominated or valued.
-
E.
reasonForPledge
Indicates the motivation or justification behind making a particular pledge or commitment.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5ef813c8190bec0ab0cbae430e5 |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.