Triple
T16336592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morningside Foundation |
E396693
|
entity |
| Predicate | donationFocus |
P17117
|
FINISHED |
| Object | endowed chairs |
—
|
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: endowed chairs | Statement: [Morningside Foundation, donationFocus, endowed chairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donationFocus Context triple: [Morningside Foundation, donationFocus, endowed chairs]
-
A.
philanthropicDonation
Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
-
B.
donationPlatform
Indicates a relationship where an entity serves as the platform or service through which a donation is made or processed.
-
C.
donationStyle
Indicates the characteristic manner or approach with which a donation is given or carried out.
-
D.
donatedWith
Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
-
E.
philanthropicGoal
chosen
Indicates a relationship where an action, initiative, or entity is directed toward achieving a charitable or socially beneficial objective.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e524448190870a6ef569017b56 |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.