Triple
T20417180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Award |
E500742
|
entity |
| Predicate | isNonprofitRelated |
P29617
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Christopher Award, isNonprofitRelated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonprofitRelated Context triple: [Christopher Award, isNonprofitRelated, true]
-
A.
isNonProfitProjectOf
Indicates that a project operates on a non-profit basis and is initiated, owned, or managed by the referenced entity.
-
B.
nonProfitAffiliation
Indicates that an entity is formally associated with, supported by, or part of a nonprofit organization.
-
C.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
-
D.
nonProfitContext
chosen
Indicates that the relationship or action occurs within, is associated with, or is specifically relevant to a nonprofit or charitable organizational context.
-
E.
nonProfitPurpose
Indicates that an entity exists or operates primarily to pursue a charitable, educational, or otherwise public-benefit purpose rather than to generate profit for owners or shareholders.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:30 a.m.