Triple
T6110157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew W. Mellon Foundation |
E136215
|
entity |
| Predicate | grantmakingMethod |
P12398
|
FINISHED |
| Object | competitive grants |
—
|
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: competitive grants | Statement: [Andrew W. Mellon Foundation, grantmakingMethod, competitive grants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantmakingMethod Context triple: [Andrew W. Mellon Foundation, grantmakingMethod, competitive grants]
-
A.
grantmakingType
chosen
Indicates the specific category or method by which grants are awarded or administered in a grantmaking relationship.
-
B.
tributeMethod
Indicates the means or manner by which tribute is given, delivered, or fulfilled between parties.
-
C.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
-
D.
grantSelectionMethod
Indicates the method or criteria by which a grant is chosen or awarded among potential candidates.
-
E.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b84ed088190a12cdb844d743326 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.