Triple
T1976806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe and Clara Tsai Foundation |
E42932
|
entity |
| Predicate | funderOf |
P33009
|
FINISHED |
| Object | education programs in the United States |
—
|
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 programs in the United States | Statement: [Joe and Clara Tsai Foundation, funderOf, education programs in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: funderOf Context triple: [Joe and Clara Tsai Foundation, funderOf, education programs in the United States]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
C.
notFundedBy
Indicates that one entity does not receive financial support, backing, or funding from another entity.
-
D.
underlyingFoundedBy
Indicates that an entity’s foundational creation or establishment is ultimately attributable to another entity, which serves as its underlying founder.
-
E.
foundedFor
Indicates that an entity was established or created specifically to serve, support, or benefit another entity or purpose.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f9a87c8190816db3888787ad76 |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb09b27e88190bff164040fef6d7e |
completed | March 7, 2026, 4:59 a.m. |
Created at: March 4, 2026, 7:36 p.m.